Del2infinity Energy Consulting provides wind and solar power forecasting services using proprietary machine learning algorithms. The Central Electricity Regulatory Commission of India now requires wind and solar generators of 50MW or more to submit mandatory forecasts. Del2infinity's forecasts are within 15% of actual power levels over 95% of time and tested on over 2,500MW of wind capacity. The company also offers load forecasting, solar irradiance prediction, and power analytics to help clients reduce revenue losses from forecasting deviations.
Andhra Pradesh Electricity Regulatory Commission (Forecasting, Scheduling, De...Das A. K.
Andhra Pradesh Electricity Regulatory Commission (Forecasting, Scheduling, Deviation Settlement and Related Matters of Solar and Wind Generation Sources) Regulations, 2016
Economic Dispatch using Quantum Evolutionary Algorithm in Electrical Power S...IJECEIAES
Unpredictable increase in power demands will overload the supply subsystems and insufficiently powered systems will suffer from instabilities, in which voltages drop below acceptable levels. Additional power sources are needed to satisfy the demand. Small capacity distributed generators (DGs) serve for this purpose well. One advantage of DGs is that they can be installed close to loads, so as to minimise loses. Optimum placements and sizing of DGs are critical to increase system voltages and to reduce loses. This will finally increase the overall system efficiency. This work exploits Quantum Evolutionary Algorithm (QEA) for the placements and sizing. This optimisation targets the cheapest generation cost. Quantum Evolutionary Algorithm is an Evolutionary Algorithm running on quantum computing, which works based on qubits and states superposition of quantum mechanics. Evolutionary algorithm with qubit representation has a better characteristic of diversity than classical approaches, since it can represent superposition of states.
Reliability Constrained Unit Commitment Considering the Effect of DG and DR P...IJECEIAES
Due to increase in energy prices at peak periods and increase in fuel cost, involving Distributed Generation (DG) and consumption management by Demand Response (DR) will be unavoidable options for optimal system operations. Also, with high penetration of DGs and DR programs into power system operation, the reliability criterion is taken into account as one of the most important concerns of system operators in management of power system. In this paper, a Reliability Constrained Unit Commitment (RCUC) at presence of time-based DR program and DGs integrated with conventional units is proposed and executed to reach a reliable and economic operation. Designated cost function has been minimized considering reliability constraint in prevailing UC formulation. The UC scheduling is accomplished in short-term so that the reliability is maintained in acceptable level. Because of complex nature of RCUC problem and full AC load flow constraints, the hybrid algorithm included Simulated Annealing (SA) and Binary Particle Swarm Optimization (BPSO) has been proposed to optimize the problem. Numerical results demonstrate the effectiveness of the proposed method and considerable efficacy of the time-based DR program in reducing operational costs by implementing it on IEEE-RTS79.
Andhra Pradesh Electricity Regulatory Commission (Forecasting, Scheduling, De...Das A. K.
Andhra Pradesh Electricity Regulatory Commission (Forecasting, Scheduling, Deviation Settlement and Related Matters of Solar and Wind Generation Sources) Regulations, 2016
Economic Dispatch using Quantum Evolutionary Algorithm in Electrical Power S...IJECEIAES
Unpredictable increase in power demands will overload the supply subsystems and insufficiently powered systems will suffer from instabilities, in which voltages drop below acceptable levels. Additional power sources are needed to satisfy the demand. Small capacity distributed generators (DGs) serve for this purpose well. One advantage of DGs is that they can be installed close to loads, so as to minimise loses. Optimum placements and sizing of DGs are critical to increase system voltages and to reduce loses. This will finally increase the overall system efficiency. This work exploits Quantum Evolutionary Algorithm (QEA) for the placements and sizing. This optimisation targets the cheapest generation cost. Quantum Evolutionary Algorithm is an Evolutionary Algorithm running on quantum computing, which works based on qubits and states superposition of quantum mechanics. Evolutionary algorithm with qubit representation has a better characteristic of diversity than classical approaches, since it can represent superposition of states.
Reliability Constrained Unit Commitment Considering the Effect of DG and DR P...IJECEIAES
Due to increase in energy prices at peak periods and increase in fuel cost, involving Distributed Generation (DG) and consumption management by Demand Response (DR) will be unavoidable options for optimal system operations. Also, with high penetration of DGs and DR programs into power system operation, the reliability criterion is taken into account as one of the most important concerns of system operators in management of power system. In this paper, a Reliability Constrained Unit Commitment (RCUC) at presence of time-based DR program and DGs integrated with conventional units is proposed and executed to reach a reliable and economic operation. Designated cost function has been minimized considering reliability constraint in prevailing UC formulation. The UC scheduling is accomplished in short-term so that the reliability is maintained in acceptable level. Because of complex nature of RCUC problem and full AC load flow constraints, the hybrid algorithm included Simulated Annealing (SA) and Binary Particle Swarm Optimization (BPSO) has been proposed to optimize the problem. Numerical results demonstrate the effectiveness of the proposed method and considerable efficacy of the time-based DR program in reducing operational costs by implementing it on IEEE-RTS79.
del2infinity's goal is to shape a smart energy future through data-driven analytics. del2infinity leverages on Artificial Intelligence and proprietary algorithms based on statistical machine learning and pattern recognition to satisfy renewable power stakeholders, electricity utilities and smart grid players.
[Infographic] 2013 U.S. Utility Grid Automation Survey (Part 2)Schneider Electric
As shown in part two of the Infographic, 2013 United States Utility Grid Automation Survey (part 2), conducted by Zpryme and commissioned by the global specialist in energy management Schneider Electric, one out of five U.S. utilities surveyed (22%) believe a high-penetration of (future) renewable energy on their utility distribution system will “cause significant problems.”
Download the Schneider Electric-sponsored Infographic today to view responses from the following utility survey questions:
- A high-penetration of (future) renewable energy on my utility distribution system is expected to?
- A high-penetration of (future) electric vehicle charging on my utility distribution system is expected to?
- Would your utility need an automated software system to track the energy efficiency savings and sustainability of projects?
TSO Reliability Management: a probabilistic approach for better balance betwe...Leonardo ENERGY
This webinar presents the probabilistic approach to reliability management developed by the collaborative project GARPUR (www.garpur-project.eu) involving the TSOs of 7 European countries.
The reliability management methodology developed and tested by GARPUR aims at a better balance between reliability and cost, by taking into account the weather-dependent probabilities of system component failures and the expected cost of service interruption to the end users.
The webinar will briefly recall the key components of the methodology developed, present the results of the different pilot tests conducted in 2017, and conclude on the main recommendations built upon the project findings.
An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Ne...IJECEIAES
Energy consumption in cloud computing occur due to the unreasonable way in which tasks are scheduled. So energy aware task scheduling is a major concern in cloud computing as energy consumption results into significant waste of energy, reduce the profit margin and also high carbon emissions which is not environmentally sustainable. Hence, energy efficient task scheduling solutions are required to attain variable resource management, live migration, minimal virtual machine design, overall system efficiency, reduction in operating costs, increasing system reliability, and prompting environmental protection with minimal performance overhead. This paper provides a comprehensive overview of the energy efficient techniques and approaches and proposes the energy aware resource utilization framework to control traffic in cloud networks and overloads.
M/S ADA Power & Infra Limited is one of the upcoming industry in the field of Renewable energy & Infra fields .Special focus on Solar & waste management products & services in following area:
Solar EPC (Engineering Procurement & construction).
Solar IPP Projects
Solar LED Lights
Developing Smart Villages by adopting lean Techniques.
Integrated Solid Waste Management
Production of Bio Fuels with Organic Farming
Skill Development and Waste & Drinking Water Management.
Substations, Building automation, Designing, erection of 11 /33/132/400 KVA Over Head Lines & Commissioning
EWS Housing.
Consultancy & Development of manufacturing facility Solar Products with latest Technology.
Consultancy for setting up Smart City
del2infinity's goal is to shape a smart energy future through data-driven analytics. del2infinity leverages on Artificial Intelligence and proprietary algorithms based on statistical machine learning and pattern recognition to satisfy renewable power stakeholders, electricity utilities and smart grid players.
[Infographic] 2013 U.S. Utility Grid Automation Survey (Part 2)Schneider Electric
As shown in part two of the Infographic, 2013 United States Utility Grid Automation Survey (part 2), conducted by Zpryme and commissioned by the global specialist in energy management Schneider Electric, one out of five U.S. utilities surveyed (22%) believe a high-penetration of (future) renewable energy on their utility distribution system will “cause significant problems.”
Download the Schneider Electric-sponsored Infographic today to view responses from the following utility survey questions:
- A high-penetration of (future) renewable energy on my utility distribution system is expected to?
- A high-penetration of (future) electric vehicle charging on my utility distribution system is expected to?
- Would your utility need an automated software system to track the energy efficiency savings and sustainability of projects?
TSO Reliability Management: a probabilistic approach for better balance betwe...Leonardo ENERGY
This webinar presents the probabilistic approach to reliability management developed by the collaborative project GARPUR (www.garpur-project.eu) involving the TSOs of 7 European countries.
The reliability management methodology developed and tested by GARPUR aims at a better balance between reliability and cost, by taking into account the weather-dependent probabilities of system component failures and the expected cost of service interruption to the end users.
The webinar will briefly recall the key components of the methodology developed, present the results of the different pilot tests conducted in 2017, and conclude on the main recommendations built upon the project findings.
An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Ne...IJECEIAES
Energy consumption in cloud computing occur due to the unreasonable way in which tasks are scheduled. So energy aware task scheduling is a major concern in cloud computing as energy consumption results into significant waste of energy, reduce the profit margin and also high carbon emissions which is not environmentally sustainable. Hence, energy efficient task scheduling solutions are required to attain variable resource management, live migration, minimal virtual machine design, overall system efficiency, reduction in operating costs, increasing system reliability, and prompting environmental protection with minimal performance overhead. This paper provides a comprehensive overview of the energy efficient techniques and approaches and proposes the energy aware resource utilization framework to control traffic in cloud networks and overloads.
M/S ADA Power & Infra Limited is one of the upcoming industry in the field of Renewable energy & Infra fields .Special focus on Solar & waste management products & services in following area:
Solar EPC (Engineering Procurement & construction).
Solar IPP Projects
Solar LED Lights
Developing Smart Villages by adopting lean Techniques.
Integrated Solid Waste Management
Production of Bio Fuels with Organic Farming
Skill Development and Waste & Drinking Water Management.
Substations, Building automation, Designing, erection of 11 /33/132/400 KVA Over Head Lines & Commissioning
EWS Housing.
Consultancy & Development of manufacturing facility Solar Products with latest Technology.
Consultancy for setting up Smart City
Comments / Suggestions on the Draft Procedure formulated towards implementati...Das A. K.
Comments / Suggestions on the Draft Procedure formulated towards implementation of MERC (Forecasting, Scheduling and Deviation Settlement for Solar and Wind Generation) Regulation 2018 in the State
SSAEL Utility Solar pre bid and post bid consulting servicesSatya Kumar DV
The focus of SSAEL has been Clean Energy Projects & Consulting for over a decade. We have executed projects for World Bank, UNIDO, GVEP, kfW, IREDA and were Consultants to RERC (Rajasthan Electricity Regulatory Commission) for determination of tariff for Solar PV power projects during 2009-12.
Through our Key Value Added Consulting Services for Utility Solar Power Projects, we handle issues which contribute to hardly 5% of the cost but 25% of the execution effort.
• Pre bid Stage
– Solar Resource Assessment
– Basic Engineering and Project Cost Estimation
– Detailed Yield Estimation for various technology options
– Financial Analysis
– Risk Analysis
– Bidding Strategy
– Support for Competitive Bidding
• Post bid Stage
– Bankable Detailed Project Report (DPR)
– Financial Closure on non recourse basis (full or partial based on Client’s track record)
– Detailed Engineering and Procurement Support or Owner’s Engineer and Project Management Consultancy
– Project Consultancy for Permits, Licenses and Approvals (PLA) ranging from land to grid interconnection
Roofsol provides following preventive maintenance services
- Regular Cleaning of Solar Panels
- Frequent Maintenance of Thermal Based Components
- Yearly Service of HT Side Equipment
- Diagnostic Testing for Lower Power Production
- Circuit Testing
- IV Curve Tracking
- Thermal Imaging
- Earth Value Measurement
- Retro Commissioning
- Data Acquisition System Check
- Automatic String Level Visual Alarms
- Real Time Data Collection
- Monitoring Energy Production (Daily Basis)
- Effective Data Interpretation
- Solar Resources Management and Prediction
- PV Monitoring System
- Trending and Analytics for Continuous Improvement
- Critical and Non-Critical Reactive Repairs
- Spare Parts and Inventory Management
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Integrated Design and Financial Model, presented by Stephen Knapp, Power Analytics Corp, Baltimore, MD, August 29-31, 2016.
Pak Solar has critical expertise in renewable energy, from concept decision making to hands-on operations.
Pakistan Solar’s ability to combine a deep understanding of traditional energy technologies and systems, renewables, and their enablers is particularly valued by our customers. We marry the experience and maturity of the past with future needs, allowing renewables to meet and exceed expectations of both energy markets and asset owners.
Hartek Power Private Ltd (formerly known as Amtek Energy & Power Pvt ltd) is India’s fastest growing and most admired Engineering, Procurement and Construction (EPC) company. It has expertise in executing large solar, electrical infrastructure projects and manufactures complete range of power distribution equipments and solutions for industrial & utility needs.
Adjudication of dispute regarding RERC (Forecasting, Scheduling, Deviation Se...Das A. K.
Adjudication of dispute regarding RERC (Forecasting, Scheduling, Deviation Settlement and related matters of Solar and Wind Generation Sources) Regulations, 2017
MP_SLDC_RE_DSM_from-01-01-2019-to-31-01-2019_dailyDas A. K.
DSM Account of Wind and Solar Pooling Stations for the month of January, 2019 on the basis of MPERC
(Forecasting, Scheduling, Deviation Settlement Mechanism and related matters of Wind and Solar Generating
Stations) Regulations, 2018.
Reply to reconnect's defamation notice - One can love it or hate it, but we r...
del2infinity_Profile
1. ACCURATE AND TIMELY INSIGHTS
INTO VARIABLE WIND & SOLAR
ENERGY
DEL2INFINITY ENERGY CONSULTING PRIVATE LIMITED
Abhik Kumar Das, Director
Email abhik@del2infinity.xyz / contact@del2infinity.xyz
Mobile +917760989341
www.del2infinity.xyz
2. Wind & Solar Power Forecasting Regulation
The Central Electricity Regulatory Commission (CERC), India has
finalized the mechanism for Forecasting, Scheduling and Deviation
Settlement of wind & solar projects at Inter-State level.
The CERC has issued the Indian Electricity Grid Code (Third
Amendment) Regulations, 2015 (IEGC) and Deviation Settlement
Mechanism and related matters (Second Amendment), Regulations
2015 (DSMR) respectively.
The mechanism is applicable from November 1, 2015.
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
3. Wind & Solar Power Forecasting Regulation
Key features of the mechanism:
The mechanism shall be applicable to Wind and Solar generators.
Scheduling of wind generators have been made mandatory for
aggregated capacity of 50 MW and above.
The maximum number of revisions has been increased from 8 to 16.
A new forecast error computation formula has been formulated, which
is: =100*(Scheduled Generation-Actual Generation)/Available Capacity.
The penalties for deviation have been computed as per Power Purchase
Agreements and shall be levied for deviation beyond +/-15%
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
5. REVENUE LOSS CAN BE UP TO
30% WITHOUT ‘GOOD’
WIND & SOLAR ENERGY
FORECAST !
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
6. Del2infinity is founded by
Abhik Kumar Das (Dual Degree, B. Tech & M. Tech (IIT KGP),2005)
Dipak Kumar Mukherjee (B.E.(JU),1967)
Del2infinity works in the domain of Energy Analytics in India & EU
Del2infinity serves AAAS (Analytics As A Service) to its different clients in India &
abroad
An integrated and solution oriented approach for every energy analytics
problems
Del2infinity’s Wind Energy Forecasting solution is capable of doing 24 hours
day ahead wind power forecast with maximum 16 revisions and is tested
over 2500 MW of Wind Farm`.
Del2infinity’s Solar Energy Forecasting solution is capable of doing 24 hours
day ahead Solar Energy forecast with maximum 16 revisions and is tested
over 200 MW of Solar Farm .
ACCURATE WIND & SOLAR ENERGY FORECASTING & SCHEDULING IS NO MORE EXPENSIVE WITH
DEL2INFINITY ENERGY CONSULTING PRIVATE LIMITED
Del2infinity Energy Consulting Pvt. Ltd.
7. Del2infinity & it’s Philosophy
Our approach
Client focussed and solution oriented approach keeping in view the commercial objectives
of the assignment;
Global reach through close working relationships with reputed global consulting firms;
Focus on industry expertise as well as traditional and emerging service lines;
Single point contact for clients;
To best serve its clients and to build and maintain long-term relationship;
Timely and commercially viable solution to complex energy domains;
Affordable and competitive pricing
Our People
Extensive experience in advising domestic and international clients engaged in energy
sectors
Combination of technical excellence and keen understanding of industry and service lines
to provide practical and solutions oriented advice
Backed by a dedicated staff and cutting edge business tools and infrastructure
Firm Grasp of commercial fundamentals
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
8. Del2infinity Solution for Wind & Solar Energy
Automatically delivers the wind & solar power forecasts via a customizable web-
based / FTP-based platform
Proprietary algorithm based on statistical machine learning and pattern recognition
Tested for over 2,500 MW installed Wind capacity and 200 MW Solar capacity in
India
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
9. Why del2infinity Forecasting?
India-specific product based on guidelines prescribed by the
Central Electricity Regulatory Commission (CERC)
Does not rely on traditional resource-intensive forecasting
methods
High Accuracy
No site installment
Protect Revenue Losses, up to 30%!
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
10. Real Time
Wind Power
Data (<15 min
Resolution)
Real Time Wind
Speed &
Direction data
(<15 min
Resolution)
Other Weather
Parameters
(If available)
NWP 1
NWP 2
NWP 3
Σ
Historical Wind
Power & Speed
Data (<15 min
Resolution)
Σ
Wind Power Forecast
(in 15 min resolution
as per the latest
guidelines prescribed
by Central Electricity
Regulatory
Commission (CERC))
1. Plant Location
2. Turbine
Information
3. Curtailment
Information
del2infinity
P2P
del2infinity
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Del2
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Del2infinity Wind Forecast System
11. || Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | |
contact@del2infinity.xyz ||
Real Time
Solar Power
Data (<15 min
Resolution)
Other Weather
Parameters
(If available)
NWP 1
NWP 2
Σ
Historical Solar
Power Data
(<15 min
Resolution)
Σ
Solar Power Forecast
(in 15 min resolution as
per the latest guidelines
prescribed by Central
Electricity Regulatory
Commission (CERC))
1. Plant Location
2. Plant Layout
2. Panel Information
3. Curtailment
Information
del2infinity
P2P
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Del2
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Del2infinity Solar Forecast System
del2infinity
DNI/GHI
Power Tx
12. Sample Output
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
Screenshot of Wind Power Scheduling
13. MARKET VALIDATION
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
Users: Energy Generators and Grid Operators
2,765 MW, till date (& going on)
Successfully deployed for renewable energy industry in India
“The forecasting of del2infinity is the best among the vendors we are
working with in terms of accuracy”
–Ramesh Kumar, Manager, Performance Monitoring at Mytrah Energy (India) Limited
14. Del2infinity & Accuracy
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
Fig.: Screenshot of 1- Week Forecast for a 25 MW Wind Farm with +/- 15% error
zone display (all calculations based on CERC’s latest guidelines)
In 95% of Time-blocks, forecast power is in +/-15% with 16
revisions tested over total 2.5 GW installed wind capacity
15. Forecasting Performance Analysis
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
0%
20%
40%
60%
80%
100%
Instances of wind power
forecast being within +/- 30%
(old regulation as a
comparative purpose only, 8
revision)
Fig.: a) Average wind speed vs forecast wind speed b)Error margin of Wind
speed vs Probability of error in forecast without revision (R0)
16. Aggregated Wind Power Forecasting
( Sample: Karnataka state)
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
Low
wind
season
High
wind
season
17. Del2infinity Forecasting Accuracy
(aggregated wind power)
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
Accuracy: Normalized Mean Absolute Error (MAE) and Root Mean Square
Error (RMSE) for different forecast horizons (hours)
18. Forecast Accuracy in Wind Forecast
(16 revision)
Absolute Error Margin Probability (%)
<10% 89.41 +/- 5
< 15% 93.36 +/- 5
15%-25% 4.37 +/- 5
25%-35% 1.16 +/- 5
>35% 1.11 +/- 5
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
19. Other Analytics Service : DNI Predictor for Solar
Forecast
Fig.: Actual and Forecast DNI value at R0 forecast
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
20. Other Analytics Service : Load Forecast
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
21. Other Analytics Service : Power Analytics
|| Accurate Solution for Wind & Solar Energy Forecasting & Scheduling | | contact@del2infinity.xyz ||
22. Enjoy a free trial of del2infinity Team Support Services to see how
outstanding Wind & Solar Energy Forecasting service can reap rewards for
your company.
For limited Free Trials* Write to us at contact@del2infinity.xyz
*Terms & Conditions Applicable
Del2infinity Energy Consulting Private Limited
Kolkata | Bangalore | New Delhi
contact@del2infinity.xyz
www.del2infinity.xyz
23. Thank you
del2infinity Energy Consulting Pvt. Ltd.
Kolkata | Bangalore | New Delhi
www.del2infinity.xyz || contact@del2infinity.xyz
ACCURATE WIND & SOLAR POWER FORECASTING & SCHEDULING IS NO MORE
EXPENSIVE with
Del2infinity Energy Consulting Pvt. Ltd.
For Business enquiries
Dipak Kumar Mukherjee, Director
Email dkm@del2infinity.xyz
Mobile +919339000123
For Technical enquiries
Abhik Kumar Das, Director
Email abhik@del2infinity.xyz
Mobile +917760989341