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文章摘要
城市配电网柔性互联系统故障重构研究
Research on fault reconstruction of flexible interconnected system of urban distribution network
Received:October 07, 2017  Revised:October 07, 2017
DOI:
中文关键词: 柔性电力电子开关(SNOP)  配电网  故障重构  二进制粒子群算法(BPSO)
英文关键词: Soft normally open point (SNOP), distribution systems, reconstruction after faults, binary particle swarm optimization (BPSO)
基金项目:国家自然科学基金项目( 重点项目);中国南方电网有限责任公司重点科技项目
Author NameAffiliationE-mail
YUAN Xiaomin College of Electric Engineering,Guizhou University 1301975448@qq.com 
YUAN Xufeng* College of Electric Engineering,Guizhou University 17015676@qq.com 
LI jing College of Electric Engineering,Guizhou University 1044388093@qq.com 
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中文摘要:
      柔性电力电子开关(soft normally open point,SNOP)用于替代传统配电网中的联络开关,文中对SNOP单侧交流系统故障后进行恢复重构研究。SNOP在配电网故障后可提供电压支撑作用,在配电网故障恢复重构研究时,除了要考虑系统运行约束条件外,还需考虑SNOP的运行特性。文中首先建立了SNOP的潮流稳态模型;通过牛拉法潮流计算去掉不符合系统运行约束条件的开关组合;然后以二进制粒子群算法(binary particle swarm optimization,BPSO)为基础,建立以重要失电负荷最少、网损最小、开关操作数最少为目标函数,设置潮流、电压、电流等约束条件,寻求故障重构的最优开关组合。最后以两个IEEE33节点算例互联为例用matlab仿真,验证所建立模型和算法的可行性。
英文摘要:
      Soft normally open point (SNOP) are used to replace contact switches in traditional distribution systems. In this paper, the reconstruction of SNOP unilateral AC system is studied. SNOP can provide the voltage support function after the fault of the distribution network. In the study of the reconfiguration of the distribution network, the operation characteristic of SNOP should be considered besides considering the operating constraints of the system. The paper first presents a trend of steady state model of SNOP; the ox drawn flow calculation method to remove the combination switch does not meet the system operation constraints; Then, based on the binary particle swarm optimization (BPSO), the objective function is to minimize the critical loss, minimize the load loss and minimize the switching operation, setting the constraints of power flow, voltage and current, which is to find the optimal switch combination for fault reconstruction. Finally, two IEEE33 nodes are taken as examples, and the feasibility of the model and algorithm is verified by MATLAB simulation.
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