Modeling optimal long-term investment strategies of hybrid wind-thermal companies in restructured power market

论文摘要

In this paper, a novel framework for the estimation of optimal investment strategies for combined wind-thermal companies is proposed. The medium-term restructured power market was simulated by considering the stochastic and rational uncertainties, the wind uncertainty was evaluated based on a data mining technique, and the electricity demand and fuel price were simulated using the Monte Carlo method. The Cournot game concept was used to determine the Nash equilibrium for each state and stage of the stochastic dynamic programming（DP）.Furthermore, the long-term stochastic uncertainties were modeled based on the Markov chain process. The longterm optimal investment strategies were then solved for combined wind-thermal investors based on the semi-definite programming（SDP） technique. Finally, the proposed framework was implemented in the hypothetical restructured power market using the IEEE reliability test system（RTS）. The conducted case study confirmed that this framework provides robust decisions and precise information about the restructured power market for combined wind-thermal investors.

论文目录

文章来源

类型: 期刊论文

作者: Mohammad Tolou ASKARI,Mohd.Zainal Abdin Ab.KADIR,Mehrdad TAHMASEBI,Ehsan BOLANDIFAR

来源: Journal of Modern Power Systems and Clean Energy 2019年05期

年度: 2019

分类: 工程科技Ⅱ辑,经济与管理科学

专业: 电力工业,工业经济

单位: Department of Electrical Engineering, Semnan Branch,Islamic Azad University,Centre for Electromagnetic and Lightning Protection Research (CELP), Faculty of Engineering, Universiti Putra Malaysia,Institute of Power Engineering (IPE), Universiti Tenaga Nasional,Department of Electrical Power Engineering, Eyvan-e-Gharb Branch, Islamic Azad University,Department of Decision Sciences and Managerial Economics, Chinese University of Hong Kong

分类号: F407.61;TM614

页码: 1267-1279

总页数: 13

文件大小: 1920K

下载量: 8

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