Solving Reconfiguration Problem Using Multi Objective Particle Swarm Optimization for Power Distribution System

S. Lakshmi, M. Suresh, Dr. Shaik Rafi Kiran
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Abstract

This paper introduces a new Multi Objective Particle swarm Optimization algorithm (MOPSO) for the purpose of solving the DSR problem& optimal placement of DGs .The objectives of the problem are to minimize real power losses and improve the voltage profile with minimum switching operations. the best solution is determined by simply considering the sum of the normalized objective values. Radial system topology is satisfied using graph theory by formulating the branch bus incidence matrix (BBIM) and checking the rank of each topology. To test the algorithm, it was applied to widely studied test systems and a real one. The results show the efficiency of this algorithm as compared to other methods in terms of achieving all the goals simultaneously with reasonable population and generation sizes and without using a mutation rate, which is usually problem dependent.
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用多目标粒子群算法求解配电系统重构问题
本文提出了一种新的多目标粒子群优化算法(MOPSO),用于解决DSR问题和dg优化布置问题,该问题的目标是以最少的开关操作最小化实际功率损耗和改善电压分布。通过简单地考虑归一化目标值的和来确定最佳解。通过构造支路关联矩阵(bbm)和检查各拓扑的秩,利用图论满足径向系统拓扑。为了验证该算法,将其应用于广泛研究的测试系统和实际测试系统。结果表明,与其他方法相比,该算法在同时实现所有目标的同时具有合理的种群和代大小,并且不使用通常与问题相关的突变率。
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