The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON POWER SYSTEMS
Transactions ID Number: 27-713
Full Name: Hossein Haroonabadi
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: No.7- Sec. Golestan Ave.- Sadeqiyeh Sec. Sq.- Tehran- IRAN
Country: IRAN
Tel: +98 21 4405 4607
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E-mail address: hoharoonabadi@yahoo.com
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Title of the Paper: Generation reliability assessment in power pool market using MCS and intelligent systems
Authors as they appear in the Paper: Hossein Haroonabadi, Mahmood-Reza Haghifam
Email addresses of all the authors: hoharoonabadi@yahoo.com, haghifam@modares.ac.ir
Number of paper pages: 10
Abstract: Deregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. In this paper, generation reliability is considered, and a method for its assessment using intelligent systems is proposed. Also, because of power market and generators’ forced outages stochastic behavior, Monte Carlo Simulation is used for reliability evaluation. Generation reliability, merely focuses on interaction between generation complex and load. Therefore, in this research, based on market type and its concentration, reserve margin, and various future times, a Neuro-Fuzzy system is proposed for evaluation of generation reliability which is valid and usable for all kinds of power pool markets. Finally, the proposed method is assessed on IEEE-Reliability Test System with satisfactory results. It will be shown that if market becomes more concentrated or price elasticity of demand increases, reliability will improve.
Keywords: Generation reliability, Power pool market, Monte Carlo simulation, Intelligent systems
EXTENSION of the file: .pdf
Special (Invited) Session: Generation reliability assessment in power pool market using MCS and intelligent systems
Organizer of the Session: 590-278
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