Optimal Siting and Sizing of Distributed Generators in Distribution Systems Considering Cost of Operation Risk

Energies

Jun Ye¹  Jiazhi Lei¹  Qingwu Gong¹ 

[1] School of Electrical Engineering, Wuhan University, Wuhan 430072, China;

关键词: distributed generators;    siting and sizing;    distribution systems;    point estimate method;    hybrid genetic algorithm;    chance constrained programming;   

DOI  :  10.3390/en9010061

来源: DOAJ

【 摘 要 】

With the penetration of distributed generators (DGs), operation planning studies are essential in maintaining and operating a reliable and secure power system. Appropriate siting and sizing of DGs could lead to many positive effects forthe distribution system concerned, such as the reduced total costs associated with DGs, reduced network losses, and improved voltage profiles and enhanced power-supply reliability. In this paper, expected load interruption cost is used as the assessment of operation risk in distribution systems, which is assessed by the point estimate method (PEM). In light with the costs of system operation planning, a novel mathematical model of chance constrained programming (CCP) framework for optimal siting and sizing of DGs in distribution systems is proposed considering the uncertainties of DGs. And then, a hybrid genetic algorithm (HGA), which combines the GA with traditional optimization methods, is employed to solve the proposed CCP model. Finally,the feasibility and effectiveness of the proposed CCP model are verified by the modified IEEE 30-bus system, and the test results have demonstrated that this proposed CCP model is more reasonable to determine the siting and sizing of DGs compared with traditional CCP model.

【 授权许可】

Unknown