NDLI: Estimation of the remuneration of hydro plants in a market environment using an iterative under-relaxation approach

Content Provider	IEEE Xplore Digital Library
Author	Sousa, J.C. Mendes, V.T. Saraiva, J.T.
Copyright Year	2009
Description	Author affiliation: FEUP, Faculdade de Engenharia da Universidade do Porto and INESC Porto ¿ Instituto de Engenharia de Sistemas e Computadores do Porto, Campus da FEUP, Rua Dr. Roberto Frias, 4200-465 Porto Portugal (Saraiva, J.T.) \|\| EDP Produção SA, Rua de Sá da Bandeira 567, 4000-437 Porto (Sousa, J.C.; Mendes, V.T.)
Abstract	One of the challenges that generation companies having hydro stations are facing corresponds to build the most adequate bids to send to day-ahead markets, maximizing their profit and taking into account the expect inflows, market prices and the interdependency between hydro plants in cascades. As a contribution to address this problem, this paper describes a short-term optimization model to build one-week schedules for a set of hydro power plants so that the outputs can be used to bid in the day-ahead market. This model is coordinated with a medium-scale (one year) model that inputs the value of using the water in the short-term problem. The developed model considers the non-linear relationship between the electric power, the net head and the turbine discharge and it takes in consideration pumping as well. The solution approach is based on an under-relaxed iterative procedure based on the algorithm described in [1] and the players are considered as price-takers, so that market prices are input variables. To solve the medium-term problem we propose a similar model that sends information about the final week volumes of each power plant to the short-term problem. On the other hand, we conducted a scenario analysis regarding market prices and inflows to internalize uncertainty. Finally, the model was successfully applied to a real size Portuguese cascade and the paper includes several results to illustrate the application of the developed models.
Starting Page	1
Ending Page	6
File Size	128527
Page Count	6
File Format	PDF
ISBN	9781424422340
DOI	10.1109/PTC.2009.5282138
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-28
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Iterative methods Power generation Turbines Power system modeling Electricity supply industry Power system management Iterative algorithms Input variables Uncertainty Reservoirs under-relaxed iterative procedure hydro generation short-term hydro scheduling medium-term hydro scheduling pumping day-ahead market profit maximization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Building optimal generation bids of a hydro chain in the day-ahead electricity market under price uncertainty

Profit maximization of a hydro producer in a day-ahead energy market and ancillary service markets

Optimization of the operation of hydro stations in market environment using Genetic Algorithms

Under-relaxed iterative procedure for feasible short-term scheduling of a hydro chain

Optimal scheduling of a pumped storage hydro unit in the day-ahead and secondary reserve electricity market

Hedging strategies for wind renewable generation in electricity markets

Risk-Constrained Profit Maximization in Day-Ahead Electricity Market

Day-ahead Generation Scheduling with Demand Response

How market power affects the behavior of a pumped storage hydro unit in the day-ahead electricity market?

Estimation of the remuneration of hydro plants in a market environment using an iterative under-relaxation approach

Similar Documents

Building optimal generation bids of a hydro chain in the day-ahead electricity market under price uncertainty

Profit maximization of a hydro producer in a day-ahead energy market and ancillary service markets

Optimization of the operation of hydro stations in market environment using Genetic Algorithms

Under-relaxed iterative procedure for feasible short-term scheduling of a hydro chain

Optimal scheduling of a pumped storage hydro unit in the day-ahead and secondary reserve electricity market

Hedging strategies for wind renewable generation in electricity markets

Risk-Constrained Profit Maximization in Day-Ahead Electricity Market

Day-ahead Generation Scheduling with Demand Response

How market power affects the behavior of a pumped storage hydro unit in the day-ahead electricity market?

Estimation of the remuneration of hydro plants in a market environment using an iterative under-relaxation approach