This document proposes a new methodology for optimizing power plant operations to maximize revenue under India's availability-based tariff structure. It discusses how focusing only on maximizing positive unscheduled interchange (UI) charges can sometimes reduce profits, and proposes calculating the marginal gain or loss from deviations based on UI rates, power exchange prices, and fuel costs. A case study compares the profits and losses from over-injection versus under-injection in different time blocks. The goal is to incentivize optimal scheduling and control actions based on comprehensive financial impacts.
This document summarizes research on approaches to managing congestion in deregulated electricity markets. It reviews various congestion management methods that have been proposed, including nodal pricing, price area congestion management, available transfer capability based approaches, using thyristor controlled phase shifting transformers, and flexible AC transmission systems devices. It also discusses optimization techniques that have been applied to congestion management problems, such as genetic algorithms and particle swarm optimization. The document provides examples of research on applying these different congestion management methods and optimization techniques to address transmission network congestion issues in deregulated power systems.
IRJET- A Comparative Study of Economic Load Dispatch Optimization MethodsIRJET Journal
This document presents a comparative study of different optimization methods for solving the economic load dispatch (ELD) problem in power systems. The ELD problem involves minimizing generation costs while meeting demand, and is formulated as a non-linear optimization problem with constraints. Various conventional and evolutionary algorithms have been used to solve ELD, but more recently bio-inspired algorithms like flower pollination algorithm and Jaya optimization have shown better performance. The paper evaluates these nature-inspired algorithms and compares their results for the ELD problem to demonstrate their effectiveness.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Demand Response Electricity Markets Dallon Kay Diamond Energy Group 20111101dallon_kay
This document summarizes demand response programs in Singapore's National Electricity Market. It discusses what demand response is, types of demand response programs including price response and ancillary service programs, and current and potential future demand response participation in Singapore's reserve and energy markets. Specifically, it provides examples of how demand response could generate revenue by participating in the reserve market and help offset costs by reducing demand during periods of high prices or generation in the energy market.
This document discusses computer control of power systems and SCADA systems in India. It provides statistics on India's power sector, including installed capacity, sources of energy, transmission losses, and peak load. It also outlines challenges in power systems like storage limitations and varying demand. The roles of an energy control center are summarized, including load forecasting, capacity planning, system monitoring, and economic dispatch. Finally, it introduces the hierarchy of power system operation in India and key components of SCADA systems, such as sensors, RTUs, master units, communication links, and software.
This presentation discusses demand side management (DSM) in the Indian power sector. It notes that while India has significantly increased its power generation capacity, demand continues to outpace supply, leading to energy deficits and load shedding. DSM aims to balance supply and demand through strategies like controlling energy usage during peak times and load levelling. Examples provided include interruptible loads and incentivizing off-peak usage. Barriers to DSM include a lack of public information and support mechanisms. The presentation outlines a DSM planning process and concludes that widespread adoption of DSM through energy efficiency, new technologies, and load management could help reduce load shedding issues caused by current energy and peak power shortages.
This document summarizes research on approaches to managing congestion in deregulated electricity markets. It reviews various congestion management methods that have been proposed, including nodal pricing, price area congestion management, available transfer capability based approaches, using thyristor controlled phase shifting transformers, and flexible AC transmission systems devices. It also discusses optimization techniques that have been applied to congestion management problems, such as genetic algorithms and particle swarm optimization. The document provides examples of research on applying these different congestion management methods and optimization techniques to address transmission network congestion issues in deregulated power systems.
IRJET- A Comparative Study of Economic Load Dispatch Optimization MethodsIRJET Journal
This document presents a comparative study of different optimization methods for solving the economic load dispatch (ELD) problem in power systems. The ELD problem involves minimizing generation costs while meeting demand, and is formulated as a non-linear optimization problem with constraints. Various conventional and evolutionary algorithms have been used to solve ELD, but more recently bio-inspired algorithms like flower pollination algorithm and Jaya optimization have shown better performance. The paper evaluates these nature-inspired algorithms and compares their results for the ELD problem to demonstrate their effectiveness.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Demand Response Electricity Markets Dallon Kay Diamond Energy Group 20111101dallon_kay
This document summarizes demand response programs in Singapore's National Electricity Market. It discusses what demand response is, types of demand response programs including price response and ancillary service programs, and current and potential future demand response participation in Singapore's reserve and energy markets. Specifically, it provides examples of how demand response could generate revenue by participating in the reserve market and help offset costs by reducing demand during periods of high prices or generation in the energy market.
This document discusses computer control of power systems and SCADA systems in India. It provides statistics on India's power sector, including installed capacity, sources of energy, transmission losses, and peak load. It also outlines challenges in power systems like storage limitations and varying demand. The roles of an energy control center are summarized, including load forecasting, capacity planning, system monitoring, and economic dispatch. Finally, it introduces the hierarchy of power system operation in India and key components of SCADA systems, such as sensors, RTUs, master units, communication links, and software.
This presentation discusses demand side management (DSM) in the Indian power sector. It notes that while India has significantly increased its power generation capacity, demand continues to outpace supply, leading to energy deficits and load shedding. DSM aims to balance supply and demand through strategies like controlling energy usage during peak times and load levelling. Examples provided include interruptible loads and incentivizing off-peak usage. Barriers to DSM include a lack of public information and support mechanisms. The presentation outlines a DSM planning process and concludes that widespread adoption of DSM through energy efficiency, new technologies, and load management could help reduce load shedding issues caused by current energy and peak power shortages.
This document provides an overview of PG&E's demand response programs. It summarizes the benefits of demand response programs, including reducing electrical demand during peak periods, rewarding customer participation, and enabling grid reliability and lower costs. It describes the opportunities for demand response among different customer classes and compares demand response to energy efficiency. The rest of the document details PG&E's various demand response programs, incentives, requirements, historical event data, customer examples, trends, goals and the proposed Peak Day Pricing dynamic rate program.
This document provides an overview of congestion management in power systems. It discusses that congestion occurs when the physical or operational limits of the transmission network are reached. Congestion management aims to prioritize transactions to avoid overloading the network. It involves both precautionary actions by system operators to allow only transactions within limits, and remedial actions if congestion occurs in real-time due to unscheduled flows. The document then covers various congestion management methods including explicit auctions, implicit auctions, market splitting, counter trading, and re-dispatching. It compares the characteristics and examples of different market-based and non-market based approaches.
Congestion management in the context of deregulationPulakesh k kalita
This document discusses congestion management in the context of deregulated electricity markets. It begins by defining deregulation and describing the current deregulated scenario. Congestion occurs when there is insufficient transmission capacity to meet market demand. In deregulated markets with open transmission access, generation patterns can change rapidly based on market forces, requiring congestion management schemes. Various methods of congestion management are described, including re-dispatching transactions, priority-based rules, and auctioning of transmission capacity. Market splitting and market coupling are two approaches used to integrate markets across congested transmission lines. The role of an independent system operator in maintaining reliability while promoting economic efficiency is also outlined.
Electricity demand side management and end use efficiencyD.Pawan Kumar
This document discusses electricity demand side management and end use efficiency. It outlines the benefits of demand side management (DSM) programs for electric utilities, including optimizing generation and network utilization and meeting regulator efficiency mandates. It describes traditional utility planning tools like load forecasting and least cost planning, which consider both supply side and demand side alternatives. The document then provides details on DSM, including definitions, frameworks, program implementation methods, technologies and options for the industrial sector. Barriers to DSM programs and ways to enable greater DSM markets are also discussed. In conclusion, the document advocates for customized DSM programs targeting specific end users as a cost-effective alternative to supply side management.
Existing supporting regulatory framework For Energy EfficiencyACX
Get up to date with existing and upcoming regulations effecting energy use in Kenya. Learn more on trends in policy making and how this will affect you as a consumer.
The document discusses demand side management strategies and energy efficiency plans for India's 11th and 12th five year plans. It outlines DSM targets and achievements in the 11th plan, as well as the utility based DSM approach, energy conservation strategy, and technologies for energy conservation planned for the 12th plan. Key strategies discussed include peak lopping, valley filling, load shifting, and energy conservation programs. Sectors like industrial, commercial buildings, and municipal areas are highlighted for focus. The 12th plan aims to establish DSM cells, conduct load surveys, demonstrate strategies like demand response, and utilize advanced metering. Total funds required for DSM technical assistance are estimated at Rs. 300 crore with equivalent savings of 16
The document discusses demand side management (DSM) strategies to efficiently manage electricity demand. It covers:
1. The goals of DSM including encouraging off-peak energy use and reducing environmental impacts.
2. Key steps in planning and implementing DSM programs including load forecasting, identifying target sectors and efficiency measures, and designing incentive programs.
3. Examples of DSM strategies for different sectors like encouraging efficient pump use in agriculture and promoting efficient appliances in residential and commercial buildings.
This document discusses smart grids and the role of advanced metering infrastructure in India. It notes that India has one of the weakest electrical grids in the world with high transmission losses. A smart grid uses communication and information technologies to better manage electricity distribution and demand. Advanced metering infrastructure is a key component, allowing two-way communication between utilities and customers to provide energy usage data and enable demand response programs. This can help improve grid reliability and efficiency while empowering consumers.
The generation revenue and demand payment assessment for pool based market mo...journalBEEI
The objective of this paper is to address the economic benefits in term of generation revenue and demand payment for the pool based market model in Malaysia electricity supply industry (MESI). In pool market model, there are issues on the benefit of the generators such as too high system marginal price (SMP) during peak demand and no revenue during low demand. Therefore, conceptual study for two bus test system in MESI involving four generators around Peninsular Malaysia is conducted to perform the economic analysis in term of generation revenue and demand assessment considering existing single buyer model and pool based market model, i.e., pool model, spot market model and the proposed model, in order to identify which market model is superior. As a result, the proposed model managed to decrease the demand payment as it is proportional to generation revenue, even though the generation revenue is at intermediate value and succeed to increase the low and medium generator’s revenue.
Training Module on Electricity Market Regulation - SESSION 3 - Price RegulationLeonardo ENERGY
This document summarizes a webinar on electricity price regulation models. It discusses different models including rate-of-return regulation, price cap regulation, revenue cap regulation, sliding scale regulation, and yardstick competition. For each model, it covers an overview, key features, formulas, and examples of practical applications. The webinar also examines design criteria for the different models such as efficiency incentives, information requirements, risks of gaming and regulatory capture, impacts on investment, and regulatory risk.
Electricity Demand Side Management and End-use efficiencyeecfncci
This presentation give an overview about demand side management and end-use efficiency for electricity supply systems. It was prepared for energy auditor training in Nepal in the context of GIZ/NEEP programme. For further information go to EEC webpage: http://eec-fncci.org/
The document summarizes USA activities related to demand-side management (DSM), including demand response and energy efficiency. It notes there has been strong, renewed interest in these areas in the US after a decade of reduced focus. It provides an overview of the US electricity system and regulatory structure. It then discusses the status of demand response and energy efficiency programs and policies in the US, including key reports and initiatives. Barriers to greater adoption are also mentioned.
Kenya’s main electricity producer walks us through their efforts in energy efficiency including their 2010 CFL program and other energy management projects.
Presented by Pete Scarpelli, Schneider Electric, Demand Response Resource Center, France at the IEA DSM Programme workshop in Vienna, Austria on 1 April 2009.
The document discusses the history of electricity issues and solutions in the Philippines from 1990-present. It describes how a power crisis in the 1990s due to insufficient generation capacity was addressed through contracts with Independent Power Producers (IPPs). However, issues arose from these contracts during the 1997 Asian Financial Crisis and its aftermath, including high costs that were passed on to consumers. The document outlines the power purchase adjustment (PPA) and currency exchange rate adjustment (CERA) mechanisms used to recover costs. It also discusses a recent Supreme Court ruling related to refunds of PPA payments.
Demand side management (DSM) aims to modify consumer demand for electricity through methods like financial incentives and education. The goals of DSM include encouraging consumers to use less energy during peak hours and shift use to off-peak hours. This helps utilities balance supply and demand as well as avoid costly capacity additions. DSM provides benefits to utilities like lower costs and improved efficiency, while consumers see potential savings on electricity bills and maintain their lifestyles. In West Bengal, utilities have implemented some DSM programs like time-of-day meters, LED lighting retrofits, energy audits, and waste heat recovery to better manage demand.
Market Based Criteria for Congestion Management and Transmission PricingIJERA Editor
Congestion Management is one of the major tasks performed by system operator to ensure the operation of transmission system within operating limits. In the emerging electric power market, the congestion management becomes extremely important and it can impose a barrier to the electricity trading. In the present paper, a concept of transmission congestion penalty factors is developed and implemented to control power overflows in transmission lines for congestion management. Here we presents a Re-dispatch methodology for cost of transmission network to its user. The transmission price computation considers the physical impact caused by the market agents in the transmission network. The paper includes case study for IEEE 5 bus power system.
Tariff Setting In the Indian Power Sector-An OverviewIOSR Journals
This document provides an overview of tariff setting in the Indian power sector. It discusses the pre-Availability Based Tariff scenario where generators and beneficiaries faced few incentives to follow schedules. The introduction of ABT in 2002 aimed to bring more accountability through a three-part tariff structure: capacity charges to recover fixed costs based on availability; energy charges based on scheduled generation; and unscheduled interchange charges for deviations linked to grid frequency. The ABT system provides incentives for better generation scheduling and grid discipline while facilitating full cost recovery. Key aspects like availability calculation, energy charge rates, and UI charge rates are also summarized.
The document discusses electric utility rate structures and how customers can identify potential ways to reduce energy costs. It provides background on utility costs and how rates are determined based on three main cost components: customer costs, energy/commodity costs, and demand costs. The summary then describes the basic rate structure most utilities follow, including customer charges, energy charges, and demand charges. It also discusses some common rate variations utilities use like seasonal pricing, block pricing, riders, and discounts.
This document provides an overview of PG&E's demand response programs. It summarizes the benefits of demand response programs, including reducing electrical demand during peak periods, rewarding customer participation, and enabling grid reliability and lower costs. It describes the opportunities for demand response among different customer classes and compares demand response to energy efficiency. The rest of the document details PG&E's various demand response programs, incentives, requirements, historical event data, customer examples, trends, goals and the proposed Peak Day Pricing dynamic rate program.
This document provides an overview of congestion management in power systems. It discusses that congestion occurs when the physical or operational limits of the transmission network are reached. Congestion management aims to prioritize transactions to avoid overloading the network. It involves both precautionary actions by system operators to allow only transactions within limits, and remedial actions if congestion occurs in real-time due to unscheduled flows. The document then covers various congestion management methods including explicit auctions, implicit auctions, market splitting, counter trading, and re-dispatching. It compares the characteristics and examples of different market-based and non-market based approaches.
Congestion management in the context of deregulationPulakesh k kalita
This document discusses congestion management in the context of deregulated electricity markets. It begins by defining deregulation and describing the current deregulated scenario. Congestion occurs when there is insufficient transmission capacity to meet market demand. In deregulated markets with open transmission access, generation patterns can change rapidly based on market forces, requiring congestion management schemes. Various methods of congestion management are described, including re-dispatching transactions, priority-based rules, and auctioning of transmission capacity. Market splitting and market coupling are two approaches used to integrate markets across congested transmission lines. The role of an independent system operator in maintaining reliability while promoting economic efficiency is also outlined.
Electricity demand side management and end use efficiencyD.Pawan Kumar
This document discusses electricity demand side management and end use efficiency. It outlines the benefits of demand side management (DSM) programs for electric utilities, including optimizing generation and network utilization and meeting regulator efficiency mandates. It describes traditional utility planning tools like load forecasting and least cost planning, which consider both supply side and demand side alternatives. The document then provides details on DSM, including definitions, frameworks, program implementation methods, technologies and options for the industrial sector. Barriers to DSM programs and ways to enable greater DSM markets are also discussed. In conclusion, the document advocates for customized DSM programs targeting specific end users as a cost-effective alternative to supply side management.
Existing supporting regulatory framework For Energy EfficiencyACX
Get up to date with existing and upcoming regulations effecting energy use in Kenya. Learn more on trends in policy making and how this will affect you as a consumer.
The document discusses demand side management strategies and energy efficiency plans for India's 11th and 12th five year plans. It outlines DSM targets and achievements in the 11th plan, as well as the utility based DSM approach, energy conservation strategy, and technologies for energy conservation planned for the 12th plan. Key strategies discussed include peak lopping, valley filling, load shifting, and energy conservation programs. Sectors like industrial, commercial buildings, and municipal areas are highlighted for focus. The 12th plan aims to establish DSM cells, conduct load surveys, demonstrate strategies like demand response, and utilize advanced metering. Total funds required for DSM technical assistance are estimated at Rs. 300 crore with equivalent savings of 16
The document discusses demand side management (DSM) strategies to efficiently manage electricity demand. It covers:
1. The goals of DSM including encouraging off-peak energy use and reducing environmental impacts.
2. Key steps in planning and implementing DSM programs including load forecasting, identifying target sectors and efficiency measures, and designing incentive programs.
3. Examples of DSM strategies for different sectors like encouraging efficient pump use in agriculture and promoting efficient appliances in residential and commercial buildings.
This document discusses smart grids and the role of advanced metering infrastructure in India. It notes that India has one of the weakest electrical grids in the world with high transmission losses. A smart grid uses communication and information technologies to better manage electricity distribution and demand. Advanced metering infrastructure is a key component, allowing two-way communication between utilities and customers to provide energy usage data and enable demand response programs. This can help improve grid reliability and efficiency while empowering consumers.
The generation revenue and demand payment assessment for pool based market mo...journalBEEI
The objective of this paper is to address the economic benefits in term of generation revenue and demand payment for the pool based market model in Malaysia electricity supply industry (MESI). In pool market model, there are issues on the benefit of the generators such as too high system marginal price (SMP) during peak demand and no revenue during low demand. Therefore, conceptual study for two bus test system in MESI involving four generators around Peninsular Malaysia is conducted to perform the economic analysis in term of generation revenue and demand assessment considering existing single buyer model and pool based market model, i.e., pool model, spot market model and the proposed model, in order to identify which market model is superior. As a result, the proposed model managed to decrease the demand payment as it is proportional to generation revenue, even though the generation revenue is at intermediate value and succeed to increase the low and medium generator’s revenue.
Training Module on Electricity Market Regulation - SESSION 3 - Price RegulationLeonardo ENERGY
This document summarizes a webinar on electricity price regulation models. It discusses different models including rate-of-return regulation, price cap regulation, revenue cap regulation, sliding scale regulation, and yardstick competition. For each model, it covers an overview, key features, formulas, and examples of practical applications. The webinar also examines design criteria for the different models such as efficiency incentives, information requirements, risks of gaming and regulatory capture, impacts on investment, and regulatory risk.
Electricity Demand Side Management and End-use efficiencyeecfncci
This presentation give an overview about demand side management and end-use efficiency for electricity supply systems. It was prepared for energy auditor training in Nepal in the context of GIZ/NEEP programme. For further information go to EEC webpage: http://eec-fncci.org/
The document summarizes USA activities related to demand-side management (DSM), including demand response and energy efficiency. It notes there has been strong, renewed interest in these areas in the US after a decade of reduced focus. It provides an overview of the US electricity system and regulatory structure. It then discusses the status of demand response and energy efficiency programs and policies in the US, including key reports and initiatives. Barriers to greater adoption are also mentioned.
Kenya’s main electricity producer walks us through their efforts in energy efficiency including their 2010 CFL program and other energy management projects.
Presented by Pete Scarpelli, Schneider Electric, Demand Response Resource Center, France at the IEA DSM Programme workshop in Vienna, Austria on 1 April 2009.
The document discusses the history of electricity issues and solutions in the Philippines from 1990-present. It describes how a power crisis in the 1990s due to insufficient generation capacity was addressed through contracts with Independent Power Producers (IPPs). However, issues arose from these contracts during the 1997 Asian Financial Crisis and its aftermath, including high costs that were passed on to consumers. The document outlines the power purchase adjustment (PPA) and currency exchange rate adjustment (CERA) mechanisms used to recover costs. It also discusses a recent Supreme Court ruling related to refunds of PPA payments.
Demand side management (DSM) aims to modify consumer demand for electricity through methods like financial incentives and education. The goals of DSM include encouraging consumers to use less energy during peak hours and shift use to off-peak hours. This helps utilities balance supply and demand as well as avoid costly capacity additions. DSM provides benefits to utilities like lower costs and improved efficiency, while consumers see potential savings on electricity bills and maintain their lifestyles. In West Bengal, utilities have implemented some DSM programs like time-of-day meters, LED lighting retrofits, energy audits, and waste heat recovery to better manage demand.
Market Based Criteria for Congestion Management and Transmission PricingIJERA Editor
Congestion Management is one of the major tasks performed by system operator to ensure the operation of transmission system within operating limits. In the emerging electric power market, the congestion management becomes extremely important and it can impose a barrier to the electricity trading. In the present paper, a concept of transmission congestion penalty factors is developed and implemented to control power overflows in transmission lines for congestion management. Here we presents a Re-dispatch methodology for cost of transmission network to its user. The transmission price computation considers the physical impact caused by the market agents in the transmission network. The paper includes case study for IEEE 5 bus power system.
Tariff Setting In the Indian Power Sector-An OverviewIOSR Journals
This document provides an overview of tariff setting in the Indian power sector. It discusses the pre-Availability Based Tariff scenario where generators and beneficiaries faced few incentives to follow schedules. The introduction of ABT in 2002 aimed to bring more accountability through a three-part tariff structure: capacity charges to recover fixed costs based on availability; energy charges based on scheduled generation; and unscheduled interchange charges for deviations linked to grid frequency. The ABT system provides incentives for better generation scheduling and grid discipline while facilitating full cost recovery. Key aspects like availability calculation, energy charge rates, and UI charge rates are also summarized.
The document discusses electric utility rate structures and how customers can identify potential ways to reduce energy costs. It provides background on utility costs and how rates are determined based on three main cost components: customer costs, energy/commodity costs, and demand costs. The summary then describes the basic rate structure most utilities follow, including customer charges, energy charges, and demand charges. It also discusses some common rate variations utilities use like seasonal pricing, block pricing, riders, and discounts.
Impact of inadvertent interchange pricing in deregulated power sectoreSAT Journals
Abstract Hummingbird is a novel Ultra-light weight cryptographic encryption scheme used for RFID applications of privacy-preserving identification and mutual authentication protocols, motivated by the well known enigma machine. Hummingbird is expected to meet the stringent response time and power consumption requirements which can provide the designed security with a small block size.This algorithm is shown as it is resistant to the most common attacks like linear and differential cryptanalysis.Some properties for integrating this algorithm into a privacy identification and mutual authentification protocol is investicated.This is implemented using the LABVIEW software. Keywords: privacy-preserving identification,mutual authentication protocols,lightweight cryptography scheme
Consideration of reactive energy in the tariff structureIAEME Publication
The document discusses considerations for including the cost of reactive energy in electricity tariffs. It proposes a framework to charge penalties to consumers that violate grid codes by drawing reactive power. The key points are:
1) Reactive power is important for grid stability but its value varies locally, so pricing should consider location.
2) A penalty tariff structure is proposed to charge consumers extra for reactive power drawn in violation of grid codes like unity power factor.
3) The cost of reactive energy would be estimated based on the existing tariff structure for active energy and demand charges, using the ratio of reactive demand to active demand costs. This allows distribution companies to recover costs for procuring reactive power.
The utility landscape is dynamic. Some pundits claim that traditional utility regulation is becoming obsolete. Others are calling for a complete overhaul of utility ratemaking as we know it; distributed energy resources, technology advancements and societal trends are changing the way utilities function. In such turbulent times, how can utilities manage their financials through rate structures? How can utilities bridge the span between the rate and regulatory frameworks of yesterday and tomorrow? One way to do so is to revisit the design of rate offerings available to all utility customers and to residential customers in particular.
This document summarizes an article that proposes an automatic demand response controller with a load shifting algorithm implemented using MATLAB software. The controller monitors generation capacity and customer demand to optimally schedule loads to reduce peak demand and stabilize the load curve. A mathematical model is presented that shifts loads in priority order from the lowest to highest load if total demand exceeds generation capacity. The model was tested on an 8 bus system in MATLAB and successfully stabilized the load curve to better manage power demand according to supply conditions.
The art of determining the cost of producing electrical energy per unit (i.e., one kWh), known as the economics of power generation. The economics of power generation has assumed a great importance in this fast developing Economics of Power Generation
The project involves determining real time electricity charges incurred by the residential consumers. The smart grid integrated with residential PV systems was modeled in Simulink to determine demand response in dynamic pricing environment. Based on the load demand, electricity charges were calculated and compared with flat rate charges to highlight cost savings.
1. The document discusses strategies for setting tariffs for power plants. It explains that tariffs include fixed charges and variable charges based on electricity usage.
2. Regulatory bodies determine tariffs and ensure they efficiently allocate resources, satisfy fairness principles, and generate sufficient revenue for utilities.
3. The document provides examples of how to calculate the cost of electricity generation and the tariff rate based on total generation costs. It describes designing wholesale tariffs through determining revenue requirements and tariff structures.
Economics of Power Generation
A power station is required to deliver
power to a large number of consumers
to meet their requirements. While de-
signing and building a power station, efforts
should be made to achieve overall economy so
that the per unit cost of production is as low as
possible. This will enable the electric supply
company to sell electrical energy at a profit and
ensure reliable service. The problem of deter-
mining the cost of production of electrical en-
ergy is highly complex and poses a challenge to
power engineers. There are several factors which
influence the production cost such as cost of land
and equipment, depreciation of equipment, inter-
est on capital investment etc. Therefore, a care-
ful study has to be made to calculate the cost of
production. In this chapter, we shall focus our
attention on the various aspects of economics of
power generation.
This document discusses electricity tariffs and power factor improvement. It describes different types of tariffs like flat demand rate tariff, block meter rate tariff, two-part tariff, and time of day tariff. Factors that influence tariff design are discussed such as load type, maximum demand, time of use, power factor, and energy consumption. The document also explains the concept of power factor and how power factor correction equipment can improve plant economics by reducing losses in the system.
The Indian power sector has faced many challenges including power shortages, inefficient state electricity boards that accumulated large debts, and low per capita electricity consumption. Reforms since the 1990s have focused on increasing private sector participation, unbundling state electricity boards, rationalizing tariffs, improving regulation, and enhancing competition. Further reforms are still needed to attract greater private investment, reduce transmission and distribution losses, and achieve universal access to electricity in India.
The Indian power sector has faced many challenges including power shortages, inefficient state electricity boards that accumulated large debts, and low per capita electricity consumption. Reforms since the 1990s have focused on increasing private sector participation, unbundling state electricity boards, rationalizing tariffs, improving regulation, and enhancing competition. Further reforms are still needed to attract greater private investment, reduce transmission and distribution losses, and achieve universal access to electricity in India.
Deviation Settlement Mechanism for Improving Grid Frequency Regime in India.pptxSUBRATAMUKHOPADHYAY9
The article is concerning indirectly enabling proper maintenance of frequency within a narrow band during operation of power grid through commercial means.
Tariff
The electrical energy produced by a power
station is delivered to a large number of
consumers. The consumers can be per-
suaded to use electrical energy if it is sold at rea-
sonable rates. The tariff i.e., the rate at which
electrical energy is sold naturally becomes atten-
tion inviting for electric supply company. The
supply company has to ensure that the tariff is
such that it not only recovers the total cost of
producing electrical energy but also earns profit
on the capital investment. However, the profit
must be marginal particularly for a country like
India where electric supply companies come un-
der public sector and are always subject to criti-
cism. In this chapter, we shall deal with various
types of tariff with special references to their ad-
vantages and disadvantages.
This document discusses the development of software for supplementary control of power generation systems. It begins by outlining the key requirements for supplementary control, including generation allocation, unit commitment, economic dispatch, and determining base points and participation factors. It then describes the information required for the software, such as generating unit capacities and system frequency. The software is developed to calculate the total generation capacity, maximum output, synchronized generation, base generation, and spinning reserves for each generating station. It also calculates the system and station percent regulations based on individual unit regulations. The software operates to balance generation and load while minimizing costs based on the control requirements and inputs described.
In today’s commercial buildings, installing an effective
WAGES (water, air, gas, electricity, steam) metering
system can be a source of substantial energy and cost
savings. This white paper examines WAGES metering
as the essential first step toward a comprehensive
energy management strategy. Best practices for
selecting meters, and identifying metering points are
described. In addition, metrics for measuring gains in
energy efficiency are explained.
The document discusses the economics of power generation. It explains that the cost of producing electrical energy can be divided into fixed, semi-fixed, and running costs. Fixed costs do not depend on production levels, semi-fixed costs depend on maximum demand but not output, and running costs depend only on the number of units generated. It also describes different methods for calculating depreciation charges, which must be accounted for as the value of generation equipment decreases over its useful lifetime. The straight-line, diminishing value, and sinking fund methods are summarized.
Demand side management
It is also called as energy demand management
The modification of consumer demand for energy through various methods such as financial incentive and education is termed as demand side management.
Super critcal_sub critical_higher capacity sets - Copy.pdfvishal laddha
The document discusses a techno-economic seminar presented by Bharat Heavy Electricals Ltd., Babcock Borsig Power GmbH, and Siemens AG KWU on supercritical coal fired power plants. It includes an introduction to Babcock Borsig Power, which was formed by the merger of four renowned energy and environmental technology companies. The new group has an order backlog of 7 billion DM and 11,000 employees worldwide. It also provides information on the company structure and personnel structure of Babcock Borsig Power and its subsidiaries. The document outlines the group's areas of business in power generation equipment and plants.
The document describes the operation of an electro-hydraulic turbine controller (EHTC) which consists of speed, load, and pressure control loops. The EHTC controls the valve lift to regulate turbine speed and load based on feedback from these loops. It allows startup, synchronization, minimum load operation, and full power range operation of the turbo generator set. The document also discusses different plant operation modes of the EHTC including boiler follow, turbine follow, and coordinated control (CMC) modes. CMC mode aims to coordinate the fast response turbine with the slow response boiler to minimize pressure and load fluctuations.
The document outlines improvements made to oil guns to increase their reliability. A team led by Mr. Vishal Laddha with members Mr. Radha Krishna, Mr. Manish Bauskar, and Mr. T George worked on the following: modifying the ignitor insertion length based on drawings; providing an in-service air line instead of drain/vent valves to prevent water accumulation; servicing the service air moisture drain trap; adding a manual drain valve to the ignitor cooling air header with plans for an automatic drain valve; and conducting dummy sequence trials during preventative maintenance. Other improvements included optimizing the LDO header pressure, maintaining the HFO temperature, inspecting no return valves, improving the scanner reliability
The document provides a performance review summary for STPP for FY 2022-2023. Some key highlights include:
- STPP was awarded best performing thermal power station in the state sector.
- STPP ranked 1st in PLF among state power sector and 7th overall in India for FY 2022-23.
- Monthly plant load factor exceeded 90% for 6 consecutive months.
- Unit 1 achieved 100.03% PLF and 100% availability for the year.
- Civil works are ongoing for flue gas desulphurization system components.
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1. A new approach to Scheduling & Deviation (UI) Management
– Optimizing Operations for Maximum Gain
BK Sahoo*,RD Katre**,Ashish Bahety ***,Vishal laddha****
*EVP, **AVP, ****Manager, ****Dy. Manager
Jindal Power Limited, Tamnar.
ABSTRACT: Presently we have Availability Based Tariff (ABT) structure for the generating
stations regulated by CERC. The ABT is in vogue since 2001. The power plants have fixed and
variable costs. The fixed cost elements are interest on loan, return on equity, depreciation, O&M
expenses and interest on working capital. The variable cost comprises of the fuel cost, i.e., coal,
gas and oil in case of thermal plants. In the Availability Tariff mechanism, the fixed and variable
cost components are treated separately. The payment of fixed cost to the generating company is
linked to availability of the plant, that is, its capability to deliver MWs on a day-to-day basis. The
total amount payable to the generating company over a year towards the fixed cost depends on
the average availability (MW delivering capability) of the plant over the year. This is the first
component of Availability Tariff, and is termed ‘capacity charge’. The second component of
Availability Tariff is the ‘energy charge’, which comprises of the variable cost (i.e., fuel cost) of
the power plant for generating energy as per the given schedule for the day. The ABT provides
for payment of fixed costs linked to a normative availability of generating units which is under
control of the generating company. On the other hand, the energy charges are payable by the
beneficiaries of the station depending upon the level of the dispatch sought by them based on the
merit order of the generating stations. The third most important component is Unscheduled
Interchange charge, Presently, the “quantum of UI” in Rs during a 15-minute time block, and
cumulative values during a specified time period like a day, month, or year are being captured in
a stand-alone mode for MIS purpose and monitored. In case the UI value turns out to be +ve, this
is being perceived as good, while in case of –ve values, the same is considered as bad operations
resulting in loss of revenue. Accordingly, the efforts can many a times be concentrated towards
maximizing +ve UI and minimizing –ve UI at all times & at all cost, which may at times result in
reduction of net profit by possible reduction of revenue from scheduled generation and/or
inflating cost incurred for +ve UI generation, as illustrated below. It may also be noted that the
Regulatory intent (i.e., through changes in DSM/UI Regulations & Grid Code etc.) all through-
out has been to shift the volume transacted through UI to scheduled transactions & the trend for
past few years show a continuous reduction in UI as a % of short term power from 39% in 2009-
10 to 21% in 2013-14. Also, in our view a new Integrated Approach needs to be adopted for
looking at the UI Management along with Generation Scheduling in our daily operations, so that
revenues are really maximized while simultaneously complying with Regulatory requirement &
in line with prudent utility practice. This is with a view of optimizing operation to gain
maximum benefit
INDRODUCTION: India has a huge power shortage (unmet electricity demand), which is
retarding the nation’s progress. Hence, we need to work simultaneously on all fronts to
increase the availability of power and stabilization of grid. The mechanism of Unscheduled
Interchange (U.I.), if properly deployed, can help in bringing more power into the electricity grids
2. and stabilizing grid, enabling the utilities to meet additional consumer load, both short-term and
long-term, and significantly reduce the quantum of load-shedding.
UI has generally been known as the third component of the so-called Availability Based Tariff
(ABT), which was introduced in India at the regional level in 2002-03. Many have perceived UI
only as a disciplining mechanism, whereas it is actually a multi-purpose tool for tackling many of
the pressing problems of system operation. This paper seeks to describe the various possible
applications of UI on stand - alone basis, which can help enhance the availability of power
PEAK POWER: Most Indians are sweltering through power cuts for several hours a day. The
majority of power cuts are due to peak power shortages. Currently estimated at 10% on an all-
India basis, peak power shortages have become a constant feature of our power supply. The
average peak power shortage during the 11th Five-Year Plan (2007-2012) was 9%. With
increasing urbanization, peak deficits are expected to increase to 12-20% by 2017. Perhaps the
root cause is that India has focused almost exclusively on building base load power generation
capacity, primarily coal-fired or nuclear stations. These plants are designed to operate 24x7 for
maximum efficiency especially in a rapidly growing and urbanizing country like India.
Unfortunately, with the focus on base load, critical factors like power purchase norms for
discoms, metering and billing infrastructure, UI mechanism etc
3. NEW PARADIGM: Deregulated Electricity Supply Industry
A) Supply chain dissociated
B) Command and control regime has been replaced by contractual approach
C) Open Access in delivery network
D) Scheduled contracts settled at mutually agreed rates
E) Unscheduled interchanges settled at frequency dependent rates
EXISTING TARIFF POLICY
Availability Based Tariff consists of
A. Capacity (fixed) Charge
B. Energy (variable) Charge
C. Unscheduled Interchange (UI) Charge
1) Capacity fixed charge: Capacity Charge is a function of ex-bus MW Availability of
power for the day, declared before the day starts (for 96 time blocks)
Elements of fixed charges:
O&M expenses
Depreciation
Interest on loan capital
Interest on working capital
Return on Equity
Income tax recovery directly from users.
4. 2) Energy (variable) Charge - It comprises of the variable cost (i.e., fuel cost) of the power
plant for generating energy as per the given schedule for the day. It may specifically be
noted that energy charge (at the specifiedplant-specific rate) is not based on actual
generation and plant output, but on scheduled generation.
3) Unscheduled Interchange (UI) Charge- UI Charge is a function of average grid frequency in
15-minute time block and difference between actual and schedule
Total payment to generator = Capacity Charge + Energy Charge + UI Charge
UI MECHANISM:
1)UI mechanism is primarily a competitive real-time balancing mechanism
“Independent power plants can themselves monitor the frequency deviations and thus no real
time signal needs to be sent by the electric utility. This eliminates the problem of how utility
could compute and transmit the price faster than the time scale to be controlled”
Fred Schweppes & Arthur Berger –‘Real time pricing to assist in load frequency control’
A. UI rate is frequency actuated
B. Last mile connectivity to generators-Not required
2) UI mechanism is ‘self-healing’, ‘self-dealing’, ‘Zero sum game-
“A transparent, efficient spot market allows producers and consumers to deal directly
with each other with less need for middlemen and market makers, and helps new,
small, niche players compete effectively with established, large, diversified players”
Larry Ruff-‘Competition in Electricity Markets’
A. UI rate is transparent
B. Decreasing marginal return with every additional unit of deviation from schedule
acts as a counterweight
C. Settlement is weekly
3)UI mechanism tries to achieve efficiency & economy through merit-order operation
A) Sub-optimal scheduling due to forecasting errors & unit outages gets corrected in
real-time
B) Generators can conserve when UI rate is lower than their marginal cost
C) Every utility with some control over generation & load becomes a formidable player
in the UI market
TYPES OF TRANSACTIONS:
Bilateral transactions:-A transaction for exchange of energy (MWh)between a specified
buyer and a specified seller ,directly or through a trading licensee or discovered at power
exchange through anonymous bidding ,from a specified point of injection to a specified
point of drawl for a fixed or a varying quantum of power(MW) for any time period
during a month
5. Through IEX and PXIL:
Market Clearing Price in IEX:
In an hourly based spot market all bids and offers form one aggregate demand curve and
one aggregate supply curve for every hour. The point where the two curves intersect one
another is called Market Clearing Price. The Market Clearing Price is the clearing price
for cleared transactions in the whole market area as if no congestion at all.
UI CHARGES FOR DEVIATION: The charges for the Deviations for all the time-blocks shall
be payable for over drawl by the buyer and under-injection by the seller and receivable for
under-drawl by the buyer and over-injection by the seller and shall be worked out on the average
frequency of a time-block at the rates specified in the table below as per the methodology
0
200
400
600
800
1000
Charge for Deviations(paise/kWh
Charge for Deviations(paise/kWh
6. For the above purpose, the energy is metered in 15-minute time blocks, since frequency keeps
changing (and the UI rate with it). The metered energy is then compared with the scheduled
energy for that 15-minute time block, and the difference (+ or -) becomes the UI energy, as
illustrated in figure. The corresponding UI rate is determined by taking the average frequency for
the same 15-minute time block into account.
AN EFFORT TO BREAK THE MYTHS: All monitoring and consequent remedial control
actions should yield maximum benefits for the Company. Judging operating personnel for only
maximizing +ve UI may sometimes prompt them to slightly under-declare their available
capacity so that they may always be able to run the machine at higher real-time injection
7. compared to that scheduled thus earning continuous +ve UI. But this may not be the correct
thing to do for the following reasons:
1. Sometimes paying UI (i.e., incurring some –ve UI) through under-injection may also be
beneficial for the Company, as in the case when (say) frequency is 50.04 Hz with UI
value of Rs.0.36 per unit, while value of direct fuel cost saved by under-injection (i.e.,
not generating) may be around Rs.2.00 per unit. This is also likely to help grid frequency
management by curbing un-necessary injection during periods of high frequency, while
simultaneously saving money for the Company, although this financial benefit is not
being captured in the current way of UI monitoring alone, where any UI incurred is likely
to be viewed negatively without considering the simultaneous benefit accrued due to
saved fuel cost.
2. Further, operating persons are likely to declare a flat availability schedule, irrespective of
the variable price signal available in the Power Exchange Market during the various
periods of the day, peak vs. off-peak, day-time vs. night time etc., which may not be a
good commercial practice when a major portion of power (i.e., beyond the short-term &
long-term bilateral/PPA commitments) is sold through collective power exchange
transactions. Revenue can be maximized commensurate with a given fuel resource
constraint, by appropriate differential scheduling of generation availability based on a
reasonably forecasted power exchange price for the next day in day-ahead markets. This
will incentivize O&M to keep higher machine availability during peak hours, and even
failure to meet injection target during those hours despite best efforts may not be that
much harmful financially as the penalty (i.e., UI price) will depend on frequency at that
time, while we might have earned higher power exchange price for the energy scheduled
during those peak hours, in addition to the fuel saved for energy not generated.
3. Any conservative declaration of available generation capacity has possible likelihood of
reduced sales revenue from scheduled transactions, which may not get compensated
through unpredictable UI/DSM revenue through over-injection, thus potentially reducing
the chance of overall profit maximization for the Company through optimized operation
and simultaneously being not aligned with current regulatory norms.
4. Similarly, while any over-injection may result in +ve UI, the actual revenue gain is not
the same as the +ve UI alone, but will be moderated by the additional direct fuel cost
incurred to generate such energy.
Hence there appears to be a need for modifying our monitoring methods in order to give a fairer
picture of our operations & corresponding control action for addressing the deviations with
simultaneous correct optimization of our financial gains. These shall also be in line with Grid
Code compliance requirements relating to maintenance of frequency within tight range etc. Of
Course, the deviations at all times have to be attempted to be less than 12% of schedule or
150MW (especially for avoiding larger financial implications) with deviation signal changing at
least once in 12 continuous time blocks as specified under the Central Electricity Regulatory
Commission (CERC) DSM(UI) Regulations.
PROPOSED METHODOLOGY: In view of the above discussion, the calculation for marginal
gain or loss arising out of daily generation scheduling vis-à-vis actual generation in each 15-
minute time block is proposed to be represented in the following manner to reflect optimum
operating and/or scheduling performance to maximize revenue within available resources
without violating existing regulatory norms as specified in the CERC (Deviation Settlement
8. Mechanism and related matters) Regulations, 2014 and as calculated at Clauses 5.(1)…(iii) &
(iv), 5(2)(a), 5(2)(d), 7(1), 7(2), 7(3) & 7(4) from DSM
UI or DSM Rate = Net UI in Rs. (Including Additional Charges and/or Cap on Deviation
exceeding volume and/or frequency limits) Divided by Short/Surplus injection units
Each Time Block Marginal Gain or Loss of Revenue on the basis of Day Ahead Scheduling at
Power Exchange is equal to =>
1) If Actual Injection is more than Schedule (i.e., Surplus Injection & UI is positive (+)},
then Gain (or Loss) = Net UI Rate (Including Additional Charges and/or Cap on
Deviation) – Direct (Fuel?) Cost; or else
2) If Actual Injection is less than the Schedule (i.e., Short Injection & UI is negative (-),
then Gain (or Loss) = Power Exchange Area Price (at relevant IEX or PX) – Net UI Rate
+ Direct (Fuel?) Cost saved
The above principle is proposed to be adopted, since the sales revenue received (or receivable)
from the buyer (i.e., for bilateral or collective transaction) is based only on scheduled energy,
while actual deviations from the schedule are credited to (or paid from) the Regional Deviation
Pool Account Fund. Further, after accounting for all short-term & mid/long-term power sales
bilateral transactions, the balance residual units are scheduled/sold through power exchange
collective transactions, and these power exchange transactions are at the margins of scheduled
generation.
CASE STUDY: For One Hour (four Blocks) ,Suppose plant capacity is 600 MW, Schedule is
600MW, Variable (energy) cost-2Rs/kwh
Frequency=49.8, 50.0, 50.05Hz (Deviation Charges=variable), IEX price= 3 Rs/kwh
A) Over injection:
I II III
Over Injection
VARIABLE COST RS/MWH 2000 2000 2000
IEX/UNIT MWH 3000 3000 3000
SCHEDULE 600 600 600
FREQUENCY 50 49.8 50.05
Actual Generation 608 615 620
Deviation 8 15 20
DEVIATION CHARGES RS/MWH 1780 5948 0
UI GAIN 14240 89220 0
VARIABLE COST FOR OVER INJECTION 16000 30000 40000
TOTAL IEX COST 24000 45000 60000
Revenue Generated=(Exc. unit
Price*Gs+UI+(Cv*Dev)
22240 104220 20000
TOTAL PROFIT/LOSS FOR OVER INJECTION -1760 59220 -40000
9. Variable cost(Cv) i.e.fuel costwill be consideredas negative as fuel is consumed in generation
of extra power
B) Under injection:
VARIABLE COST RS/MWH 2000 2000 2000
IEX/UNIT MWH 3000 3000 3000
SCHEDULE 600 600 600
FREQUENCY 50 49.8 50.05
Actual Generation 592 585 580
Deviation -8 -15 -20
DEVIATION CHARGES RS/MWH 1780 5948 0
UI GAIN -14240 -89220 0
VARIABLE COST FOR OVER INJECTION 16000 30000 40000
TOTAL IEX COST 24000 30000 15000
Revenue Generated 25760 -29220 55000
Gain 1760 -59220 40000
Variable cost (Cv) i.e. fuel cost will be considered as positive as fuel is saved in generation of
extra power
Comparison Chart for profit and loss between over injection and under injection for same data
means-frequency, mw, IEX cost, variable cost
-40000
-30000
-20000
-10000
0
10000
20000
30000
40000
50000
60000
1 2 3
50 49.8 50.058 15 20
-1760
59220
-40000
FREQUENCY(HZ)
Deviation(Over
Injection)(MWH)
TOTAL PROFIT/LOSS FOR OVER
INJECTION(Rs)
10. Conclusion: There would be fallout of the above. Depending on its variable cost, each
generating unit would have a threshold frequency, i.e., the frequency at which the UI rate equals
the variable cost of the generating unit. The output of the generating unit should be maximized as
long as the grid frequency is below the threshold frequency, irrespective of the schedule given
out by the RLDC / SLDC for the unit. And the unit should be backed down when grid frequency
climbs up and exceeds the above threshold frequency, as shown in figure. For a pit-head
generating station having an ex - power plant variable cost of 90 paise/kWh, the threshold
frequency, with the present UI rate – frequency relationship, shall be 50.2 Hz. For a load-centre
thermal plant with a variable cost (ex - power plant) of 180 paise/kWh, the threshold frequency
would be 49.9 Hz, as illustrated, and so on.
This would lead to a frequency - based dispatch of generating stations (typically as shown in
figure ), which can be given out by the SLDCs as the dispatch guideline or instructions for their
generating stations. The underlying approach is that the frequency would be allowed to float, and
there would be no attempt to operate the grid at a frequency very close to 50.0 Hz. Also, while
the schedules would serve as the commercial datum, the entities would be free to deviate from
the schedules, to achieve real region - wide merit - order in generation, in an autonomous,
decentralized and very cost – effective manner
-60000
-50000
-40000
-30000
-20000
-10000
0
10000
20000
30000
40000
1 2 3 4
50 49.8 50.05
-8 -15 -20
1760
-59220
40000
FREQUENCY(HZ)
Deviation(Over Injection)(MWH)
TOTAL PROFIT/LOSS FOR UNDER
INJECTION(Rs)
11. By this way of presentation or case study, while the UI is positive (over injection) for one hour
but here marginal loss, and for UI negative (under injection) getting marginal gain, as
summarized in the above table. It may be pertinent to note that while UI is –ve for some
block/day, there have been actual gains to the Company, and vice-versa examples can also be
seen for many time blocks.
ANNEXURE:
1. Online DSM webpage:( In PDF format attached w ith sheet)
http://www.cercind.gov.in/2014/regulation/noti132.pdf
2. http://www.iexindia.com/
3) http://posoco.in/attachments/article/227/01UI_Charges_30.03.2009.pdf
REFERENCES:
1) How to maximize profit from sale of surplus power-IPPAI
2) CENTRAL ELECTRICITY REGULATORY COMMISSION- Coram : Dr. Pramod Deo,
Chairperson,Shri S.Jayaraman, Member,Shri V. S. Verma Member
Shri M. Deena Dayalan, Member
3) Electricity Tariff & Duty and Average Rates of Electricity Supply in India -
March'2014
4) Electricity Tariff and Duty and Average Rates of Electricity Supply in India -
March,2010
5) OVERCOMING POWER SHORTAGE THROUGH U.I.- Bhanu Bhushan