Energy and Reserve Scheduling for Active Distribution System Using Stochastic Programming

被引:0
|
作者
Fang, Maosen [1 ]
Chu, Xiaodong [1 ]
机构
[1] Shandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Contro, Jinan, Shandong, Peoples R China
关键词
Active distribution system; stochastic programming; semi-definite programming; soft normally open point; distributed energy resource; OPTIMAL POWER-FLOW; OPTIMIZATION;
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
The optimal operation of active distribution systems (ADSs) should address the issue of uncertainties caused by high penetration of renewable generation. A two-stage stochastic programming model is proposed for joint energy and reserve scheduling of ADSs with distributed generators (DGs). Reserve required is provided by upstream network, electrical energy storage (EES), and controllable loads (CLs). Soft normally open points (SNOPs) are installed in ADSs for relaxing power constraints on branches. The stochastic programming model is solved by using a convex relaxation method based on semi-definite programming (SDP). Simulation results of a 22-bus test system verify the validity of the proposed stochastic programming model and good performance of the convex relaxation method.
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页数:5
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