The document discusses the objectives and operations of electric power systems. The key objectives are to provide continuous, quality service to users at minimum cost while minimizing environmental impact. Operations are divided into planning, control, and accounting. Planning optimizes resource allocation to meet peak demand at lowest cost. Control satisfies instantaneous load through economic dispatch and reserve calculation. Committing the most economical generating units based on costs and constraints is determined through unit commitment.
This chapter deals with the generation of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
This chapter deals with the power system operation of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
This chapter deals with the generation of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
This chapter deals with the power system operation of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
Normally, the character of the wind energy as a renewable energy sources has uncertainty in generation. To resolve the Optimal Power Flow (OPF) drawback, this paper proposed a replacement Hybrid Multi Objective Artificial Physical Optimization (HMOAPO) algorithmic rule, which does not require any management parameters compared to different meta-heuristic algorithms within the literature. Artificial Physical Optimization (APO), a moderately new population-based intelligence algorithm, shows fine performance on improvement issues. Moreover, this paper presents hybrid variety of Animal Migration Optimization (AMO) algorithmic rule to express the convergence characteristic of APO. The OPF drawback is taken into account with six totally different check cases, the effectiveness of the proposed HMOAPO technique is tested on IEEE 30-bus, IEEE 118-bus and IEEE 300-bus check system. The obtained results from the HMOAPO algorithm is compared with the other improvement techniques within the literature. The obtained comparison results indicate that proposed technique is effective to succeed in best resolution for the OPF drawback.
This chapter deals with Load forecasting of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
This chapter deals with the reliability analysis of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
This chapter deals with power economics of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
This slide is an introductory part of the course Computer Application in Power system. it will describe the basic tasks of a computer and different computer application areas.
Lecture 2: Electrical load demand analysis and management Eyad Adnan
Lecture 2: Electrical load demand analysis and management ;
.. Estimate and Review Load & energy demand assessment
... determine the figure of demand daily kwh consumption for specific building/customers
... Establish Work Plan to Get daily KWH
......Optimizing energy consumption by using potentials for opportunities conservation tools and measures
Modeling and Simulation of Wind Energy Conversion System Interconnected with ...idescitation
The global electrical energy consumption is steadily rising and consequently there
is a demand to increase the power generation capacity. A significant percentage of the
required capacity increase can be based on renewable energy sources.The integration of
Distributed Generations into grid has a great importance in improving system reliability.
The power generation with renewable energy sources is essential in now-a-days to control
the atmospheric pollution and global warming. To get fast tracking for maximum power, it
is preferable to use incremental conductance method. MPPT control for variable speed
wind turbine is driven by Induction Generator. The wind turbine generator is operated
such that the rotor speed varies according to wind speed to adjust the duty cycle of power
inverter and maximizes wind energy conversion system efficiency. The system includes the
wind turbine, induction generator, three phase rectifier, DC link voltage controller, three
phase inverter. In this paper, modeling and simulation of wind energy conversion system
(WECS) with incremental conductance maximum power point tracking (MPPT) is
presented. This WECS is connected to electric utility to measure the performance. In this
paper, the objective such as optimal location and sizing of DG units are studied to check the
system performance in reducing the power losses, increase in voltage profile and reliability.
For analyzing the performance of WECS, a case study is carried out on IEEE 15 bus radial
distribution system. The case studies shows that there is gradual improvement in voltage
profile, reduction in power losses and variation in reliability indices and results were
simulated in the MATLAB/SIMULINK. The results shown in this paper can contribute well
to electrical utilities with radial distribution systems.
Every electrical system needs power as the supply. Power is rated at each and amount of energy is used to accomplish the work. Electrical power is measured in kwhr which is determine by V*I. In the industries high power consumption than the contracted one can lead to severe penalties. Often there are power peak produce by the load co incidence that normally do not work in simultaneously. In order to avoid penalties one solution would be increase in the contracted power according to the maximum resister peak but on contract this will force to pay higher power than it is really needed. Another solution will be avoiding the consumption peaks through a vigilance element that a device of the risk situation or it can disconnect certain noncritical load such as air conditioning compressors lighting and fans. Maximum demand refers to the maximum amount of electrical energy that is being consumed at a given time. The general purpose of maximum demand meter is to monitor and control the maximum power demand in order also can reduced the monthly electricity bill. By using the meter, the user do not have to worry that their electricity bill will increase thus have to pay lot of money on bills. Maximum power demand meter can benefit every user specially factories. The information and also knowledge that been used to produce the meter can benefit the society. Assembly language will be used to design a program for specific purpose which is to monitor and controlling power demand.
Automatic load frequency control of two area power system with conventional a...eSAT Publishing House
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.
Optimal Unit Commitment Based on Economic Dispatch Using Improved Particle Sw...paperpublications3
Abstract: In this paper, an algorithm to solve the optimal unit commitment problem under deregulated environment has been proposed using Particle Swarm Optimization (PSO) intelligent technique accounting economic dispatch constraints. In the present electric power market, where renewable energy power plants have been included in the system, there is a lot of unpredictability in the demand and generation. This paper presents an improved particle swarm optimization algorithm (IPSO) for power system unit commitment with the consideration of various constraints. IPSO is an extension of the standard particle swarm optimization algorithm (PSO) which uses more particles information to control the mutation operation, and is similar to the social society in that a group of leaders could make better decisions. The program was developed in MATLAB and the proposed method implemented on IEEE 14 bus test system.
Normally, the character of the wind energy as a renewable energy sources has uncertainty in generation. To resolve the Optimal Power Flow (OPF) drawback, this paper proposed a replacement Hybrid Multi Objective Artificial Physical Optimization (HMOAPO) algorithmic rule, which does not require any management parameters compared to different meta-heuristic algorithms within the literature. Artificial Physical Optimization (APO), a moderately new population-based intelligence algorithm, shows fine performance on improvement issues. Moreover, this paper presents hybrid variety of Animal Migration Optimization (AMO) algorithmic rule to express the convergence characteristic of APO. The OPF drawback is taken into account with six totally different check cases, the effectiveness of the proposed HMOAPO technique is tested on IEEE 30-bus, IEEE 118-bus and IEEE 300-bus check system. The obtained results from the HMOAPO algorithm is compared with the other improvement techniques within the literature. The obtained comparison results indicate that proposed technique is effective to succeed in best resolution for the OPF drawback.
This chapter deals with Load forecasting of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
This chapter deals with the reliability analysis of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
This chapter deals with power economics of different power system parts which includes the generation, transmission and distribution systems. This slide is specifically prepared for ASTU 5th year power and control engineering students.
This slide is an introductory part of the course Computer Application in Power system. it will describe the basic tasks of a computer and different computer application areas.
Lecture 2: Electrical load demand analysis and management Eyad Adnan
Lecture 2: Electrical load demand analysis and management ;
.. Estimate and Review Load & energy demand assessment
... determine the figure of demand daily kwh consumption for specific building/customers
... Establish Work Plan to Get daily KWH
......Optimizing energy consumption by using potentials for opportunities conservation tools and measures
Modeling and Simulation of Wind Energy Conversion System Interconnected with ...idescitation
The global electrical energy consumption is steadily rising and consequently there
is a demand to increase the power generation capacity. A significant percentage of the
required capacity increase can be based on renewable energy sources.The integration of
Distributed Generations into grid has a great importance in improving system reliability.
The power generation with renewable energy sources is essential in now-a-days to control
the atmospheric pollution and global warming. To get fast tracking for maximum power, it
is preferable to use incremental conductance method. MPPT control for variable speed
wind turbine is driven by Induction Generator. The wind turbine generator is operated
such that the rotor speed varies according to wind speed to adjust the duty cycle of power
inverter and maximizes wind energy conversion system efficiency. The system includes the
wind turbine, induction generator, three phase rectifier, DC link voltage controller, three
phase inverter. In this paper, modeling and simulation of wind energy conversion system
(WECS) with incremental conductance maximum power point tracking (MPPT) is
presented. This WECS is connected to electric utility to measure the performance. In this
paper, the objective such as optimal location and sizing of DG units are studied to check the
system performance in reducing the power losses, increase in voltage profile and reliability.
For analyzing the performance of WECS, a case study is carried out on IEEE 15 bus radial
distribution system. The case studies shows that there is gradual improvement in voltage
profile, reduction in power losses and variation in reliability indices and results were
simulated in the MATLAB/SIMULINK. The results shown in this paper can contribute well
to electrical utilities with radial distribution systems.
Every electrical system needs power as the supply. Power is rated at each and amount of energy is used to accomplish the work. Electrical power is measured in kwhr which is determine by V*I. In the industries high power consumption than the contracted one can lead to severe penalties. Often there are power peak produce by the load co incidence that normally do not work in simultaneously. In order to avoid penalties one solution would be increase in the contracted power according to the maximum resister peak but on contract this will force to pay higher power than it is really needed. Another solution will be avoiding the consumption peaks through a vigilance element that a device of the risk situation or it can disconnect certain noncritical load such as air conditioning compressors lighting and fans. Maximum demand refers to the maximum amount of electrical energy that is being consumed at a given time. The general purpose of maximum demand meter is to monitor and control the maximum power demand in order also can reduced the monthly electricity bill. By using the meter, the user do not have to worry that their electricity bill will increase thus have to pay lot of money on bills. Maximum power demand meter can benefit every user specially factories. The information and also knowledge that been used to produce the meter can benefit the society. Assembly language will be used to design a program for specific purpose which is to monitor and controlling power demand.
Automatic load frequency control of two area power system with conventional a...eSAT Publishing House
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.
Optimal Unit Commitment Based on Economic Dispatch Using Improved Particle Sw...paperpublications3
Abstract: In this paper, an algorithm to solve the optimal unit commitment problem under deregulated environment has been proposed using Particle Swarm Optimization (PSO) intelligent technique accounting economic dispatch constraints. In the present electric power market, where renewable energy power plants have been included in the system, there is a lot of unpredictability in the demand and generation. This paper presents an improved particle swarm optimization algorithm (IPSO) for power system unit commitment with the consideration of various constraints. IPSO is an extension of the standard particle swarm optimization algorithm (PSO) which uses more particles information to control the mutation operation, and is similar to the social society in that a group of leaders could make better decisions. The program was developed in MATLAB and the proposed method implemented on IEEE 14 bus test system.
Security Constraint Unit Commitment Considering Line and Unit Contingencies-p...IJAPEJOURNAL
This paper presents a new approach for considering all possible contingencies in short-term power system operation. Based on this new approach, both generator and transmission line outages would be modeled in network-based power system analysis. Multi generator and also parallel transmission lines is modeled in this methodology. We also investigate this claim that feasibility and applicability of this approach is much more than the previous analytical methodologies. Security Constrained Unit commitment (SCUC) program which is carried out by Independent System Operator (ISO), is one of the complex problems which would be handled by this approach. In this paper, a DC-Optimal Power Flow (DCOPF) methodology has been implemented by particle swarm optimization technique. The Lagrangian Relaxation technique is based on the derivatives and the PSO is a non- derivative technique. These approaches are effective tools which can be implemented for short-term and long-term power system analysis, especially for economic analysis of restructured power systems. The DCOPF methodology has been considered for LMP calculation in LR, which is not available in PSO techniques. In the other hand, PSO technique may be able to provide the optimal solution, where LR usually getting stuck at a local optimum in a large scale power system. The simulation results show that the presented methods are both satisfactory and consistent with expectation.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
Techno-economical Unit Commitment Using Harmony Search Optimization ApproachIJAPEJOURNAL
In this paper, Security-Constrained Unit Commitment (SCUC) model is proposed in a restructured power system. This model consists of a closed-loop modified Unit Commitment (UC) and Security-constrained Optimal Power Flow (SCOPF). The objective of this SCUC model is to obtain the maximum social welfare-based system operating cost while maintaining the system security. In conventional power systems, the demand was forecasted before market operation and determined as a fixed constant. Supplying this demand was therefore considered as a constraint. However, in restructured power system which is based on Standard Market Design (SMD), DISCOs offer the demand and their proposed prices; therefore the demand is modeled as an elastic load. Independent System Operator (ISO) is responsible for operating the power market. The ISO performed the power market using the SCUC software to obtain feasible and economical operation as much as possible. In this paper, Harmony Search Algorithm (HSA) has been implemented to solve SCUC problem. Since the SCUC problem is a non-linear, mixed integer, large scale and non-convex problem, harmony search optimization is addressed as an efficient technique to overcome the aforementioned challenges. The simulation results show that the presented method is both satisfactory and consistent with expectation.
A Particle Swarm Optimization for Optimal Reactive Power DispatchIJRST Journal
This paper presents particle swarm optimization (PSO) based approach for solving optimal reactive power dispatch for minimizing power losses. The control variables are bus voltage magnitudes (continuous type), transformer tap settings (discrete type) and reactive power generation of capacitor banks (discrete type). The algorithm solution of PSO is tested on a standard IEEE 30 Bus system. The intention is to minimize power losses by optimizing the reactive power dispatch with optimal setting of control variables without violating inequality constraints and satisfying equality constraint. The detailed results for different cases have been listed
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
In this presentation we can learn about basic concept of Instruction set, Byte Oriented Instructions, Bit Oriented instructions, Literal Instructions clearly.
In this presentation we can learn about basic concept of interrupts, steps of interrupts, data processing during interrupts, and interrupt logic diagram clearly.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
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Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
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Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
1. Electric Power System Operation
KONGUNADU COLLEGE OF ENGINERING AND TECHNOLOGY, TRICHY Electric Power System Operation
• Operational objectives of a power system have been to provide a continuous
quality service with minimum cost to the user. These objectives are:
• The term “continuous service” can be translated to mean “secure and reliable
service”
First Objective: Supplying the energy user with quality service, i.e., at
acceptable voltage and frequency
Second Objective: Meeting the first objective with acceptable impact
upon the environment.
Third Objective: Meeting the first and second objectives continuously,
i.e., with adequate security and reliability.
Fourth Objective: Meeting the first, second, and third objectives with
optimum economy, i.e., minimum cost to the energy user.
1
2. Integrated Objectives
KONGUNADU COLLEGE OF ENGINERING AND TECHNOLOGY, TRICHY Electric Power System Operation
• The direction of the arrows indicates the priority in which the objectives
are implemented
Interrelated objectives of operation of a power system
Economically constrained operation of a power system.
2
3. Task Division
KONGUNADU COLLEGE OF ENGINERING AND TECHNOLOGY, TRICHY Electric Power System Operation
Operations planning
Operations control
Operations accounting
Interrelated tasks of planned scheduling operation
3
4. Operation planning
KONGUNADU COLLEGE OF ENGINERING AND TECHNOLOGY, TRICHY Electric Power System Operation
• The facilities of a large power system consist of many generating units,
transmission lines, transformers, circuit breakers, DC/DC converters & DC/ AC
converters which are to scheduled for orderly operation & maintenance
• The energy resources of a large power system consist of hydro, nuclear, fossil
power and renewable energy sources such as wind farm, photovoltaic and micro
turbines.
• These facilities are to be managed and utilized to satisfy load demand of a
power system.
• The load demand of a power system is cyclic in nature and has a daily peak
demand over a week period, weekly peak demand over a month period, and
monthly peak demand over a year period.
• Overall objectives of planned scheduling operation are to manage facilities and
optimize resources for satisfying the peak demand of each load cycle, such that
the total cost of operation is minimized.
4
5. Operation Control
KONGUNADU COLLEGE OF ENGINERING AND TECHNOLOGY, TRICHY Electric Power System Operation
• The primary functions of operations control are satisfying the instantaneous
load on a second-to-second and minute-to-minute basis. Some of these
functions are:
Load Frequency Control
On-Line Load Flow
Economic Dispatch Calculation (EDC)
Operating Reserve Calculation (ORC)
5
6. Operation Control……Contd.
KONGUNADU COLLEGE OF ENGINERING AND TECHNOLOGY, TRICHY Electric Power System Operation
• Load Frequency Control (LFC). This function is also referred to as governor
response. As the load demand of the power system increases, the speed of
generators will decrease and this will reduce the system frequency. Similarly, as
system load demand decreases, the speed of the system generators would
increase and this will increase the system frequency. The power system
frequency control must be maintained for the power system grid to remain
stable.
• Online Load Flow (OLF): This function generally utilizes the output of network
topology, i.e. the real time network model, and the bus injections from state
estimation for purpose of security monitoring, security analysis and penalty
factor calculations. This function performs “if then condition” to determine the
possible system states (voltages) in face of system outages such as loss of a line
due to weather condition or sudden loss of a generator.
6
7. Operation Control……Contd.
KONGUNADU COLLEGE OF ENGINERING AND TECHNOLOGY, TRICHY Electric Power System Operation
• Economic Dispatch Calculation: Economic dispatch calculation of a power
system determines the loading of each generator on a minute-by-minute basis so
as to minimize the operating costs.
• Operating Reserve Calculation: The objective of operating reserve calculation is
to calculate the actual reserve carried by each unit and to check whether or not
there is a sufficient reserve in a system. The operating reserve consists of
spinning reserve (synchronized), non-spinning reserve (non-synchronized), and
interruptible load.
7
8. Economic Dispatch
With a given set of units running, how of the load much should be
generated at each to cover the load and losses? This is the question
of Economic dispatch.
The solution is for the current state of the network and does not
typically consider future time periods.
KONGUNADU COLLEGE OF ENGINERING AND TECHNOLOGY, TRICHY Electric Power System Operation
G
G
G
G
G
G
G
G G
8
9. Deciding which units to “commit”
When should the generating units (G) be run for most economic
operation?
Concern must be given to environmental effects
How does one define “economic operation”? Profit maximizing?
Cost minimizing? Depends on the market you’re in.
G
G
G
G
G
G
G
G G
9
KONGUNADU COLLEGE OF ENGINERING AND
TECHNOLOGY, TRICHY Electric
Power System Operation
10. What is Unit Commitment?
We have a few generators (units)
Also we have some forecasted load
Besides the cost of running the units we have additional costs and
constraints
start-up cost
shut-down cost
spinning reserve
... and more
KONGUNADU COLLEGE OF ENGINERING AND TECHNOLOGY, TRICHY Electric Power System Operation
10
11. What is Unit Commitment?
It turns out that we cannot just flip the switch of certain units on and use
them!.
We need to think ahead, and based on the forecasted load and unit
constraints, determine which units to turn on (commit) and which ones to
keep down.
Minimize cost, cheap units play first.
Expensive ones run only .when demand is high.
KONGUNADU COLLEGE OF ENGINERING AND TECHNOLOGY, TRICHY Electric Power System Operation
11
12. How Do We Solve the Problem?
If a unit is on, we designate this with 1 and respectively, the off unit is 0.
So, somehow we decide that for the next hour we will have "0 1 1 0 1" if we
have five units.
Based on that, we solve the economic dispatch problem for unit 2, 3 and 5.
We start turning on U2, U3, U5.
When the next hour com.es, we have them up and running
KONGUNADU COLLEGE OF ENGINERING AND TECHNOLOGY, TRICHY Electric Power System Operation
12
13. To Come Up With Unit Commitment
The question is, _how_ do we come up with this unit commitment
"0 1 1 0 1" ?
One very simplistic way: if we have very few units, go over all combinations
from hour to hour
For each combination at a given hour, solve the economic dispatch
For each hour, pick the combination giving the lowest cost!
KONGUNADU COLLEGE OF ENGINERING AND TECHNOLOGY, TRICHY Electric Power System Operation
13
14. REFERENCES:
Jeraldin Ahila M., “Power system operation and control”, Lakshmi
Publications, 2015.
Kundur P., ‘Power System Stability and Control, Tata McGraw Hill
Education Pvt. Ltd., New Delhi,10th reprint, 2010.
R3. Hadi Saadat, ‘Power System Analysis’, Tata McGraw Hill Education
Pvt. Ltd., New Delhi, 21st reprint, 2010.
R4. Ramanathan V., “Power System Operation and Control,” Charulatha
Publications, 2015.
R5. Gross C.A., “Power System Analysis,” Wiley India, 2011.
Google and Wikipedia.
KONGUNADU COLLEGE OF ENGINERING AND TECHNOLOGY, TRICHY Electric Power System Operation
14