Generation Reliability Assessment in Electricity Markets Using Cooperative and Non-cooperative Concepts and Intelligent Systems  

作　　者：Hossein Haroonabadi 

机构地区：[1]Electrical Department, Islamic Azad University-Islamshahr Branch, Tehran 14 71693951, Iran

出　　处：《Journal of Energy and Power Engineering》2012年第12期2038-2045,共8页能源与动力工程（美国大卫英文）

摘　　要：Deregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. In the present research, generation reliability is considered, and a method for its assessment is proposed using game theory and NN （neural networks）. Also, due to the stochastic behavior of power markets and generators＇ forced outages, MCS （monte carlo simulation） is used for reliability evaluation. Generation reliability merely focuses on the interaction between generation complex and load. Therefore, in the research, based on the behavior of players in the market and using game theory, two outcomes are considered： cooperation and non-cooperation. The proposed method is assessed on IEEE-Reliability Test System with satisfactory results. LOLE （loss of load expectation） is used as the reliability index and it will be shown that generation reliability in cooperation market is better than non-cooperation outcome.

关 键 词：Power markets generation reliability game theory neural networks monte carlo simulation. 

分 类 号：TM732[电气工程—电力系统及自动化] F426.61[经济管理—产业经济]