中压配电系统SVC模块协调的差分进化算法

G. Moustafa
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引用次数: 0

摘要

本文提出了一种基于差分进化算法的配电网优化策略,通过静态无功补偿模块(SVCs)的最优协调来优化配电网的性能。安装成本的最小化和由于功率损耗的减少而产生的节省的最大化被合并为一个多目标函数。为了研究不同荷载条件对结构的影响,进一步将各种规则荷载组合在一起。该框架在连接到埃及统一网络(EUN)的37总线真实馈线上实现。仿真结果表明,该算法具有明显的技术和经济特点。基于该方案的SVCs无功补偿使得整个节点的电压随负载的变化有了较大的质量改善。特别是在轻载情况下,SVCs根据相邻节点的无功需求来控制其性能特性。
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Differential Evolution Algorithm for Coordination of SVC Modules in MV Distribution Systems
This paper proposes a new strategy based on the differential evolution algorithm to optimize the performance of distribution networks through the optimal coordination of Static VAR Compensator modules (SVCs). Installation costs minimization and savings maximization due to reducing power losses are merged in one multi-objective function. In order to investigate the influences of varying loading conditions, various regular loadings are further combined. This framework implemented on a 37-bus real feeder connected to the Egyptian Unified Network (EUN). The findings of the simulation reveal evident technical and economical characteristics of the proposed algorithm. The reactive power compensation using SVCs based on the pro-posed scheme leads to major quality improvements of the entire nodes’ voltage with variations of loads. Especially, in light loading condition, the SVCs control their performance characteristics according to the reactive power demands in the adjacent nodes.
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