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基于Tabu搜索的配电网络重构算法 被引量:79
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作者 陈根军 李繼洸 唐国庆 《中国电机工程学报》 EI CSCD 北大核心 2002年第10期28-33,共6页
配电网络重构是一个非常复杂的、大规模的组合优化问题。该文提出了一种非常有效的、鲁棒性很好的算法来求解正常运行条件下配电网络的重构问题,以减少网络中的能量损失费用。该算法基于Tabu搜索方法(TS)。作为现代启发式方法家族中的... 配电网络重构是一个非常复杂的、大规模的组合优化问题。该文提出了一种非常有效的、鲁棒性很好的算法来求解正常运行条件下配电网络的重构问题,以减少网络中的能量损失费用。该算法基于Tabu搜索方法(TS)。作为现代启发式方法家族中的重要一员,Tabu搜索方法是近几年来发展起来的用于求解组合最优问题的一种通用算法。文中详细阐述了用于配电网络重构问题时Tabu搜索方法中各成员的设计。为了证明该文方法的可行性和有效性,还研究了3个不同规模的IEEE测试网络的重构问题。结果表明,该文提出的方法是一种非常有效的方法。 展开更多
关键词 TABU搜索 配电网络重构算法 电力系统 配电馈线
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Fuzzy-GA based algorithm for optimal placement and sizing of distribution static compensator (DSTATCOM) for loss reduction of distribution network considering reconfiguration 被引量:1
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作者 Mohammad Mohammadi Mahyar Abasi A.Mohammadi Rozbahani 《Journal of Central South University》 SCIE EI CAS CSCD 2017年第2期245-258,共14页
This work presents a fuzzy based methodology for distribution system feeder reconfiguration considering DSTATCOM with an objective of minimizing real power loss and operating cost. Installation costs of DSTATCOM devic... This work presents a fuzzy based methodology for distribution system feeder reconfiguration considering DSTATCOM with an objective of minimizing real power loss and operating cost. Installation costs of DSTATCOM devices and the cost of system operation, namely, energy loss cost due to both reconfiguration and DSTATCOM placement, are combined to form the objective function to be minimized. The distribution system tie switches, DSTATCOM location and size have been optimally determined to obtain an appropriate operational condition. In the proposed approach, the fuzzy membership function of loss sensitivity is used for the selection of weak nodes in the power system for the placement of DSTATCOM and the optimal parameter settings of the DFACTS device along with optimal selection of tie switches in reconfiguration process are governed by genetic algorithm(GA). Simulation results on IEEE 33-bus and IEEE 69-bus test systems concluded that the combinatorial method using DSTATCOM and reconfiguration is preferable to reduce power losses to 34.44% for 33-bus system and to 45.43% for 69-bus system. 展开更多
关键词 distribution FACTS (DFACTS) distribution static compensator (DSTATCOM) network reconfiguration genetic algorithm fuzzy membership function power loss reduction
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Power loss reduction of distribution systems using BFO based optimal reconfiguration along with DG and shunt capacitor placement simultaneously in fuzzy framework 被引量:1
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作者 M.Mohammadi A.Mohammadi Rozbahani S.Bahmanyar 《Journal of Central South University》 SCIE EI CAS CSCD 2017年第1期90-103,共14页
In distribution systems,network reconfiguration and capacitor placement are commonly used to diminish power losses and keep voltage profiles within acceptable limits.Moreover,the problem of DG allocation and sizing is... In distribution systems,network reconfiguration and capacitor placement are commonly used to diminish power losses and keep voltage profiles within acceptable limits.Moreover,the problem of DG allocation and sizing is great important.In this work,a combination of a fuzzy multi-objective approach and bacterial foraging optimization(BFO) as a meta-heuristic algorithm is used to solve the simultaneous reconfiguration and optimal sizing of DGs and shunt capacitors in a distribution system.Each objective is transferred into fuzzy domain using its membership function.Then,the overall fuzzy satisfaction function is formed and considered a fitness function inasmuch as the value of this function has to be maximized to gain the optimal solution.The numerical results show that the presented algorithm improves the performance much more than other meta-heuristic algorithms.Simulation results found that simultaneous reconfiguration with DG and shunt capacitors allocation(case 5) has 77.41%,42.15%,and 56.14%improvements in power loss reduction,load balancing,and voltage profile indices,respectively in 33-bus test system.This result found 87.27%,35.82%,and 54.34%improvements of mentioned indices respectively for 69-bus system. 展开更多
关键词 network reconfiguration distributed generation (DG) capacitor banks fuzzy framework bacterial foragingoptimization
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