Active distribution network expansion planning integrating dispersed energy storage systems

被引:87
|
作者
Xing, Haijun [1 ]
Cheng, Haozhong [1 ]
Zhang, Yi [2 ]
Zeng, Pingliang [3 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China
[2] State Grid Fujian Elect Power Res Inst, Fuzhou 350007, Fujian Province, Peoples R China
[3] China Elect Power Res Inst, Beijing 100085, Peoples R China
基金
中国国家自然科学基金;
关键词
relaxation theory; integer programming; convex programming; reactive power; on load tap changers; power system management; demand side management; energy storage; power generation planning; distributed power generation; power distribution planning; active distribution network expansion planning; dispersed energy storage system; convex model; DESS; active management scheme; distributed generation curtailment; generation curtailment; on-load tap changer tap adjustment; reactive power compensation; peak shaving; operation cost decrement; DG installation; substation expansion; DNEP problem; mixed integer nonlinear programming problem; second-order cone programming model; distflow equation; constraint relaxation; MULTISTAGE MODEL; GENERATION; MANAGEMENT; RECONFIGURATION; UNCERTAINTIES; POWER;
D O I
10.1049/iet-gtd.2015.0411
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study proposes the convex model for active distribution network expansion planning integrating dispersed energy storage systems (DESS). Four active management schemes, distributed generation (DG) curtailment, demand side management, on-load tap changer tap adjustment and reactive power compensation are considered. The optimisation of DESS for peak shaving and operation cost decreasing is also integrated. The expansion model allows alternatives to be considered for new wiring, new substation, substation expansion and DG installation. The distribution network expansion planning (DNEP) problem is a mixed integer non-linear programming problem. Active management and uncertainties especially with the DG integration make the DNEP problem much complex. To find the suitable algorithm, this study converts the DNEP problem to a second-order cone programming model through distflow equations and constraints relaxation. A modified 50-bus application example is used to verify the proposed model.
引用
收藏
页码:638 / 644
页数:7
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