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首页> 外文会议>International Conference on Control, Instrumentation, Energy Communication >A new hybrid particle swarm optimization technique for optimal capacitor placement in radial distribution systems
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A new hybrid particle swarm optimization technique for optimal capacitor placement in radial distribution systems

机译：一种新的混合粒子群优化技术，用于径向分布系统中的最佳电容器放置

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A new hybrid particle swarm optimization algorithm based on black-hole theory called modified black-hole particle swarm optimization (MBHPSO) is introduced in the present paper. Placement of capacitor of optimal sizes and at optimal locations not only reduces the power losses, but also improves the voltage stability of the electric power systems. Several meta-heuristic techniques have been used by Scientists and researchers over the years to address the problems of capacitor placements. They are very effective and powerful in comparison with conventional methods in solving complex nonlinear constrained optimization problems. But one of the major difficulties for these methods is the premature convergence. A new improved hybrid technique is introduced in this paper that addresses the issues of premature convergence successfully for the present problem. The accuracy, performance and effectiveness are authenticated by testing the algorithm proposed in the present paper on a test system. The present paper also compares the results with those obtained by applying several other modern techniques such as fuzzy reasoning, plant growth simulation algorithm, opposition based differential evolution. The outcomes of the experiment show that high quality solutions can be obtained by the proposed method.
机译：介绍了一种基于黑洞理论的混合粒子群优化算法，即改进的黑洞粒子群优化算法（MBHPSO）。将最佳尺寸的电容器放置在最佳位置不仅可以减少功率损耗，还可以改善电力系统的电压稳定性。多年来，科学家和研究人员已使用多种元启发式技术来解决电容器放置的问题。与传统方法相比，它们在解决复杂的非线性约束优化问题方面非常有效且功能强大。但是，这些方法的主要困难之一是过早收敛。本文介绍了一种新的改进的混合技术，可以成功解决当前问题的过早收敛问题。通过在测试系统上测试本文提出的算法，可以验证准确性，性能和有效性。本文还将结果与应用其他几种现代技术（如模糊推理，植物生长模拟算法，基于对立的差分进化）获得的结果进行了比较。实验结果表明，所提出的方法可以得到高质量的解决方案。

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