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Optimal capacitor placement in radial distribution systems using teaching learning based optimization

机译:使用基于教学学习的优化在径向配电系统中优化电容器放置

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摘要

This paper presents teaching learning based optimization (TLBO) approach to minimize power loss and energy cost by optimal placement of capacitors in radial distribution systems. The proposed algorithm is based on two basic concept of education namely teaching phase and learning phase. In first phase, learners improve their knowledge or ability through the teaching methodology of teacher and in second part learners increase their knowledge by interactions among themselves. To check the feasibility, the proposed method is applied on standard 22, 69, 85 and 141 bus radial distribution systems. Numerical experiments are included to demonstrate that the proposed TLBO can obtain better quality solution than many existing techniques like genetic algorithm (GA), particle swarm optimization (PSO), direct search algorithm (DSA) and mixed integer linear programming (MILP) approach.
机译:本文介绍了一种基于教学学习的优化(TLBO)方法,该方法通过在径向配电系统中优化放置电容器来最大程度地降低功率损耗和能源成本。该算法基于教学的两个基本概念,即教学阶段和学习阶段。在第一阶段,学习者通过教师的教学方法来提高他们的知识或能力,在第二阶段,学习者通过彼此之间的互动来增加他们的知识。为了检验可行性,将所建议的方法应用于标准22、69、85和141母线径向分配系统。包括数值实验以证明所提出的TLBO比许多现有技术(例如遗传算法(GA),粒子群优化(PSO),直接搜索算法(DSA)和混合整数线性规划(MILP))可获得更好的质量解决方案。

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