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A solution to stochastic unit commitment problem for a wind-thermal system coordination 被引量：1

A solution to stochastic unit commitment problem for a wind-thermal system coordination
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摘要 Unit commitment （UC） problem is one of the most important decision making problems in power system. In this paper the UC problem is solved by considering it as a real time problem by adding stochasticity in the generation side because of wind-thermal co-ordination system as well as stochasticity in the load side by incorporating the randomness of the load. The most important issue that needs to be addressed is the achievement of an economic unit commitment solution after solving UC as a real time problem. This paper proposes a hybrid approach to solve the stochastic UC problem considering the volatile nature of wind and formulating the UC problem as a chance constrained problem in which the load is met with high probability over the entire time period. Unit commitment （UC） problem is one of the most important decision making problems in power system. In this paper the UC problem is solved by considering it as a real time problem by adding stochasticity in the generation side because of wind-thermal co-ordination system as well as stochasticity in the load side by incorporating the randomness of the load. The most important issue that needs to be addressed is the achievement of an economic unit commitment solution after solving UC as a real time problem. This paper proposes a hybrid approach to solve the stochastic UC problem considering the volatile nature of wind and formulating the UC problem as a chance constrained problem in which the load is met with high probability over the entire time period.
作者 B. SARAVANAN Shreya MISHRA
机构地区 Debrupa NAG School of Electrical Engineering
出处 《Frontiers in Energy》 SCIE CSCD 2014年第2期192-200,共9页 能源前沿（英文版）
关键词 unit commitment （UC） RANDOMNESS wind generation univariate chance constrained unit commitment （UC）, randomness, wind generation, univariate, chance constrained
分类号 O415.5 [理学—理论物理] TM73 [电气工程—电力系统及自动化]
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Frontiers in Energy
2014年 第2期

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