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引用次数: 24

摘要

径向配电系统的改造是改变电网潮流的重要途径。本文提出了一种新的方法来解释电网重构问题,其目的是使径向配电系统(RDS)的实际功率损耗最小化,同时改善其电压分布。采用元启发式粒子群算法(PSO)对径向配电系统中最优并网开关进行重新配置和识别,以降低实际功率损耗。针对分布式网络重构的不同场景,研究了该技术的性能。在目标函数的评估中考虑了电压和支路载流能力的约束。该方法已在不同负载模式下的IEEE 33总线和69总线系统上进行了测试,验证了该方法的性能和有效性。所获得的结果表明,电压的改善和实际功率损失的减少。
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Optimization of network reconfiguration by using Particle swarm optimization
Reconfiguration of radial distribution system is a significant way of altering the power flow through the lines. This paper presents a novel method to interpret the network reconfiguration problem with an objective of minimizing real power loss and simultaneously, improving the voltage profile in radial distribution system (RDS). A Meta-heuristic Particle swarm optimization (PSO) is used to reconfigure and recognize the optimal tie switches for reduction of real power loss in a radial distribution system. Different scenarios of reconfiguration of distributed network are precise to study the performance of the proposed technique. The constraints of voltage and branch current carrying capacity are incorporated in the assessment of the objective function. The proposed method has been tested on IEEE 33-bus and 69-bus systems at different load patterns to demonstrate the performance and effectiveness of the predictable method. The outcomes attained, illustrates that improvement in voltages and a reduction in the real power loss.
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