无功规划中FACTS控制器的优化配置

Priyanka Priyadarshini Sahoo, Lalit Kumar, Sanjay Kumar
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引用次数: 0

摘要

本文提出了一种受自然启发的优化技术——飞蛾火焰优化,用于求解最优潮流,使有功损耗最小。FACTS控制器与上述方法一起用于在不同负载条件下实现实际功率损耗最小化和电压改善。该方法在标准的ieee30总线系统和ieee57总线系统上执行。并与磷虾群算法(KHA)和基于生物地理的优化(BBO)进行了比较。这些算法是一套创新的解决问题的试验和方法,源自自然过程。对三种方法的仿真结果进行了比较,确定了最佳的方法。通过比较,揭示了所提方法在三种方法中的优越性,并证实了其解决目标OPF问题的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal allocation of FACTS controller for Reactive Power Planning
The nature-inspired optimization technique named moth flame optimization is projected in this paper for solving optimal power flow to minimize active power loss. The FACTS controllers are used with the aforesaid approach for real power loss minimization and voltage improvement under different loading conditions. This methodology is executed on standard IEEE 30 bus systems and IEEE 57 bus systems. Also, the outcome is compared with the other two techniques names Krill herd algorithm (KHA) and Biogeography based optimization (BBO). These algorithms are a set of innovative problem-solving trials and approaches derived from natural processes. Simulation results of these three methods are compared, and the best one is identified. The comparison reveals the superiority of the proposed approach among these three methods and confirms its potential to solve the objective of OPF problems.
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