Factual power loss reduction by enriched black hole algorithm

K. Lenin
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Abstract

This paper presents Enriched Black Hole Algorithm (EBHA) for solving optimal reactive power problem. In this work black hole algorithm based on membrane computing is projected. In Black Hole Algorithm evolution of the population is through pushing the candidates in the course of the most excellent candidate in iterations and black hole which swap with those in the search space. Membrane computing is also branded as P system and it has multisets of objects with evolution rules in the membrane structure. Membrane structure is alike ingrained tree of section that demarcate the areas, and root is labelled as skin. Chemical substances (Multisets of objects) are there inside the section (membranes) of a cell and the chemical reactions (evolution rules) that take place within the cell.  Proposed Enriched Black Hole Algorithm (EBHA) has been tested in standard IEEE 14,300 bus test system and simulation results show the projected algorithm reduced the real power loss comprehensively.
富黑洞算法降低实际功率损耗
提出了求解最优无功问题的充实黑洞算法(EBHA)。本文提出了基于膜计算的黑洞算法。在黑洞算法中,种群的进化是通过迭代过程中最优候选者的推动和黑洞与搜索空间中的候选者的交换来实现的。膜计算也被称为P系统,它在膜结构中有多组具有演化规律的对象。膜结构类似于划分区域的根深蒂固的树状剖面,根部被标记为皮肤。化学物质(多组物体)存在于细胞的部分(膜)内,化学反应(进化规则)发生在细胞内。本文提出的增强黑洞算法(EBHA)在标准IEEE 14300总线测试系统上进行了测试,仿真结果表明,该算法全面降低了实际功率损耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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