Demand Response Risk Based Stochastic Power System Scheduling Considering Wind Farm Wake Effect

被引：0
|
作者：
Chen, J. J. [1 ]
Zhao, Y. L. [1 ]
机构：
[1] Shandong Univ Technol, Sch Elect & Elect Engn, Zibo, Peoples R China
来源：
2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2) | 2017年
基金：
国家重点研发计划;
关键词：
Demand response risk; stochastic optimal power flow; wind farm; wake effect; INTERVAL OPTIMIZATION; ECONOMIC-DISPATCH; MODEL; FLOW;
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：
With the increasing wind farm connected to power system, there is a growing need to study the stochastic power system scheduling (SPSS). This paper proposes a demand response risk based SPSS (DRRbSPSS) framework for quantifying the uncertainty of wind farm from the perspective of economic return and economic risk. In addition, the wake effect is derived by the Jensen model to estimate the wind farm power distribution. Then, an optimization algorithm, evolutionary predator and prey strategy (EPPS) is applied to obtain the optimal trade-off solution. Simulation results based on the modified IEEE 30-bus system prove the effectiveness and applicability of the proposed framework.
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页数：6
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