Probability Interval Optimization for Optimal Power Flow Considering Wind Power Integrated

被引：0
|
作者：
Chen, J. J. [1 ]
Wu, Q. H. [1 ,2 ]
机构：
[1] South China Univ Technol, Sch Elect Power Engn, Guangzhou 510641, Guangdong, Peoples R China
[2] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England
来源：
2016 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS) | 2016年
关键词：
Optimal power flow; wind power; probability interval model; evolutionary algorithm; ECONOMIC-DISPATCH MODEL; CONSTRAINTS; SYSTEMS;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper presents a probabilistic interval optimization (PIO) model for evaluating the problem of optimal power flow considering wind power integrated (OPFWP). In PIO model, the wind power is deemed as a probability interval variable to assess its profit and risk simultaneously. To be precise, the profit is manifested by the net decrease of generation cost between the same power system with and without wind power integrated, and the risk is assessed by the distribution probability of wind power. Then the optimization objective of OPFWP is formulated as the conditional expectation of profit. Numerical tests obtained based on a modified IEEE 30-bus system demonstrate the effectiveness of the PIO model for evaluating OPFWP.
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页数：5
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