Total Supply Capability Analysis of Urban 220 kV Area Power System Considering Load Transfer Capability of HV Distribution Network

被引：0
|
作者：
Zhang X. [1 ]
Liu Y. [1 ]
Lü L. [1 ]
Jin Y. [2 ]
Liu J. [1 ]
Liu R. [2 ]
机构：
[1] College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, 610065, Sichuan Province
[2] State Grid Chengdu Electric Power Company, Chengdu, 610041, Sichuan Province
来源：
Dianwang Jishu/Power System Technology | 2017年 / 41卷 / 05期
关键词：
Quantum-behaved particle swarm optimization; Total power supply capability; Transformer unit; Urban power system;
D O I：
10.13335/j.1000-3673.pst.2016.2029
中图分类号：
学科分类号：
摘要：
Existing approaches calculating total supply capability (TSC) for urban 220 kV area power systems fail to consider load transfer action of 110 kV HV distribution network (HVDN), usually leading to relatively conservative result. A novel approach of TSC analysis for 220 kV area power systems considering reconfigurable ability of HVDN is presented in this paper. Compared with traditional TSC analytics, the proposed approach is able to dynamically adjust HVDN topology by means of reconfiguration, in fact redistributing load injection of 220 kV power grid in process of optimal load-ability search, thus avoiding premature load curtailment due to security constraints of 220 kV system. Particularly, HVDN reconfiguration model is established based on new defined transformer unit groups according to features of HVDN operational structure. The model enables feasible solution selection in advance, remarkably reducing computational complexity of optimization procedure. Feasibility and efficiency of the presented approach are validated based on an actual power system. Case study results indicate that TSC analytics in this paper is able to extend potential load-ability by considering flexible HVDN reconfiguration, more closing to practical situation and valuable for asset utilization of urban power systems. © 2017, Power System Technology Press. All right reserved.
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页码：1612 / 1618
页数：6
相关论文
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