富黑洞算法降低实际功率损耗

K. Lenin
{"title":"富黑洞算法降低实际功率损耗","authors":"K. Lenin","doi":"10.11591/IJAPE.V10.I2.PP97-101","DOIUrl":null,"url":null,"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.","PeriodicalId":280098,"journal":{"name":"International Journal of Applied Power Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factual power loss reduction by enriched black hole algorithm\",\"authors\":\"K. Lenin\",\"doi\":\"10.11591/IJAPE.V10.I2.PP97-101\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":280098,\"journal\":{\"name\":\"International Journal of Applied Power Engineering\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Applied Power Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11591/IJAPE.V10.I2.PP97-101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied Power Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11591/IJAPE.V10.I2.PP97-101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Factual power loss reduction by enriched black hole algorithm
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Squirrel Cage Induction Motor Predictive Direct Torque Control based on multi-step delay compensation Power quality improvement using a shunt active power filter based on an cascaded H-bridge eleven level inverter with predictive current control Calculation and measurement of ampacity for class 5 flexible aluminum cable at 110 °C Problems and analysis directions in smart grid technology and their potential solutions Performance enhancement of shunt active power filter using soft computing techniques
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1