| Issue |
E3S Web Conf.
Volume 58, 2018
Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2018)
|
|
|---|---|---|
| Article Number | 02020 | |
| Number of page(s) | 5 | |
| Section | Models and Methods for Assessing the Reliability of Intelligent Energy Systems | |
| DOI | https://doi.org/10.1051/e3sconf/20185802020 | |
| Published online | 10 October 2018 | |
Model of adequacy optimization of electric power systems under market conditions
Melentiev Energy Systems Institute of SB RAS, Irkutsk, Russia
* Corresponding author: sergperj@gmail.com
We present a new model of adequacy optimization of electric power systems under market conditions in the article. Optimization is realized by a criteria of maximum of social welfare. Social welfare includes profits of generating companies according penalties of unreliable electricity supply, consumer surplus, costs for development and servicing of electricity grids. Adequacy analysis of variants of development of electric power system is based on multiple estimation of electricity shortage in a random hour of system work. We analyze system work in each of a random hour in two stages. For the first stage we define equilibrium electricity demand in each system node and equilibrium price of electricity according to Cournot model. For the next stage failures of power generating equipment and transmission lines are simulated. We also estimate of electricity shortage in a current hour on the second stage. Reliability indexes and profits of generating companies are formed after a whole cycle of computations. Values of a profit are depended on reliability of electricity supply. Simulation of random values is carried out by the Monte Carlo method.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.