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     Research Journal of Applied Sciences, Engineering and Technology


Loss Allocation Using Game Theory in Pool Based Market

1Ahmad Rostamian, 2Mostafa Hosseinzadeh, 3Javad Norouzi and 4Ahmad Shokrollahi
1Department of Engineering, Mahmoodabad Branch, Islamic Azad University, Mahmoodabad, Iran
2Department of MBA, Nooretouba University, Tehran, Iran
3Department of Engineering, Minoodasht Branch, Islamic Azad University, Minoodasht, Iran
4Faculty Member, Juybar Branch, Islamic Azad University, Juybar, Iran
Research Journal of Applied Sciences, Engineering and Technology  2013  9:2826-2830
http://dx.doi.org/10.19026/rjaset.5.4812  |  © The Author(s) 2013
Received: March 14, 2012  |  Accepted: April 04, 2012  |  Published: March 20, 2013

Abstract

This study presents a new and practical way for the loss allocation in the restructuring systems problem. The restructured markets sell the electricity in two main categories; bilateral exchanges and pool based. The method which is used in this study investigates the loss allocation in pool based market. The deregulated systems are not under control of one person but there are other players such as generators and loads at which every one of such players has to pay the cost for some parts of network loss. The importance of this matter is that the loss ratio is a considerable part of the whole production. The method used in this study is to justify the loss allocation. This method is consisted of two different categories; finding the losses and the other is loss allocation using Game Theory. And to test this method, two systems of 4 and 14 IEEE bus is put in use. The results referring the generators show that the suggested method for the loss allocation to generators is close to the Pro Rata method and the results for the loads are something between the Proportion method and the ITL method.

Keywords:

Game theory, loss allocation, pool based market, shapley value,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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