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Collaborative optimization allocation of VDAPFs and SVGs for simultaneous mitigation of voltage harmonic and deviation in distribution networks
International Journal of Electrical Power & Energy Systems ( IF 5.0 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.ijepes.2020.106034
Shuya Tian , Qingquan Jia , Shiwei Xue , Hao Yu , Zhengwei Qu , Tianyi Gu

Abstract This paper proposes a collaborative optimization allocation strategy for voltage-detection active power filters (VDAPFs) with multiple functions and static var generators (SVGs) to improve voltage harmonic (VH) and voltage deviation (VD) of distribution networks (DNs). The integrated voltage sensitivity is defined considering VH and VD simultaneously. According to the local characteristic of power quality (PQ), a partition algorithm based on integrated voltage sensitivity is developed to divide a network into several regions. Two methods based on single and integrated sensitivity are presented to determine dominant nodes as candidates of VDAPFs and SVGs in each region. The corresponding allocations of VDAPFs and SVGs are respectively provided considering the two methods. The sites and sizes of VDAPFs and SVGs are optimized through minimizing the total cost including investment and operation costs by improved particle swarm optimization (PSO) algorithm. An integrated evaluation index based on economy and PQ disturbance mitigation effect is defined to evaluate the performance of the two allocations, thereby determining an optimal allocation. The feasibility and effectiveness of the proposed strategy are verified implemented on IEEE 33-bus system and IEEE 69-bus system by comparing the two allocations with each other and with the conventional allocation strategy.

中文翻译:

VDAPFs和SVGs协同优化配置同时缓解配电网电压谐波和偏差

摘要 本文提出了一种多功能电压检测有源电力滤波器(VDAPFs)和静态无功发生器(SVGs)的协同优化配置策略,以改善配电网(DNs)的电压谐波(VH)和电压偏差(VD)。综合电压灵敏度的定义同时考虑 VH 和 VD。根据电能质量(PQ)的局部特性,提出了一种基于综合电压敏感度的划分算法,将电网划分为多个区域。提出了两种基于单一灵敏度和综合灵敏度的方法来确定每个区域中作为 VDAPFs 和 SVGs 候选的优势节点。考虑到这两种方法,分别给出了VDAPFs和SVGs的相应分配。VDAPFs和SVGs的站点和大小通过改进的粒子群优化(PSO)算法最小化包括投资和运行成本在内的总成本进行优化。定义了基于经济性和PQ扰动缓解效果的综合评价指标来评价两种分配的性能,从而确定最优分配。通过将两种分配相互比较并与常规分配策略进行比较,验证了该策略在IEEE 33-bus系统和IEEE 69-bus系统上实施的可行性和有效性。定义了基于经济性和PQ扰动缓解效果的综合评价指标来评价两种分配的性能,从而确定最优分配。通过将两种分配相互比较并与常规分配策略进行比较,验证了该策略在IEEE 33-bus系统和IEEE 69-bus系统上实施的可行性和有效性。定义了基于经济性和PQ扰动缓解效果的综合评价指标来评价两种分配的性能,从而确定最优分配。通过将两种分配相互比较并与常规分配策略进行比较,验证了所提出策略在IEEE 33-bus系统和IEEE 69-bus系统上实施的可行性和有效性。
更新日期:2020-09-01
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