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An Application of Multi-Verse Optimizer for Optimal Reactive Power Dispatch Problem

机译:多维优化器在最优无功调度中的应用

摘要

This paper proposes a new algorithm namely Multi-Verse Optimizer (MVO) in solving the Optimal Reactive Power Dispatch (ORPD) problem. It is inspired from the threeudmain concepts in cosmology viz. white hole, black hole and wormhole. These concepts are developed mathematically to perform exploration, exploitation and local search respectively. This algorithm is applied to obtain the best combination of control variables such as generator voltages, tap changing transformer’s ratios, reactive compensation devices as well as real power generation.In this paper, to show the effectiveness of MVO into ORPD problem, IEEE-30 bus system with 25 control variables is utilized and compared with recent algorithms available in literature. The result of this study shows that MVO is able to achieve less power loss than those determined by other techniques.
机译:本文提出了一种新的算法,即多版本优化器(MVO),用于解决最优无功功率分配(ORPD)问题。它是从宇宙学的三个主要概念中得到启发的。白洞,黑洞和虫洞。这些概念是通过数学方式开发的,分别用于执行勘探,开发和本地搜索。该算法用于获得发电机电压,抽头变换变压器的比率,无功补偿装置以及有功功率等控制变量的最佳组合。本文展示了将MVO应用于ORPD问题的有效性,IEEE-30总线利用具有25个控制变量的系统,并将其与文献中可用的最新算法进行比较。这项研究的结果表明,与其他技术确定的功率损耗相比,MVO能够实现更少的功率损耗。

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