实际配电系统中DG和DSTATCOM优化分配乌鸦搜索算法的实现

2018 International Conference on Power, Instrumentation, Control and Computing (PICC) Pub Date : 1900-01-01 DOI:10.1109/PICC.2018.8384745

Surajit Sannigrahi, P. Acharjee

{"title":"实际配电系统中DG和DSTATCOM优化分配乌鸦搜索算法的实现","authors":"Surajit Sannigrahi, P. Acharjee","doi":"10.1109/PICC.2018.8384745","DOIUrl":null,"url":null,"abstract":"In this paper, a modified crow search algorithm (MCSA) is proposed for obtaining the optimal size and site of different types of distributed generations (DG) and distributed static compensator (DSTATCOM) in a 51-bus practical distribution system (PDS) with an aim to improve system voltage, reduce line losses, maximize economic benefit, and decrease the pollution level. Logical and innovative formulas are developed to measure the technical, economic, and environmental impact of these devices. In the modified version of CSA (MCSA), the control parameters are logically tuned to make them adaptive with the iteration. The optimal allocation for each type of device is conducted at different load levels and their techno-economic and environmental performances are accomplished to identify the most suitable device for PDS. The proposed algorithm is compared with the other algorithms to show its effectiveness.","PeriodicalId":103331,"journal":{"name":"2018 International Conference on Power, Instrumentation, Control and Computing (PICC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Implementation of crow search algorithm for optimal allocation of DG and DSTATCOM in practical distribution system\",\"authors\":\"Surajit Sannigrahi, P. Acharjee\",\"doi\":\"10.1109/PICC.2018.8384745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a modified crow search algorithm (MCSA) is proposed for obtaining the optimal size and site of different types of distributed generations (DG) and distributed static compensator (DSTATCOM) in a 51-bus practical distribution system (PDS) with an aim to improve system voltage, reduce line losses, maximize economic benefit, and decrease the pollution level. Logical and innovative formulas are developed to measure the technical, economic, and environmental impact of these devices. In the modified version of CSA (MCSA), the control parameters are logically tuned to make them adaptive with the iteration. The optimal allocation for each type of device is conducted at different load levels and their techno-economic and environmental performances are accomplished to identify the most suitable device for PDS. The proposed algorithm is compared with the other algorithms to show its effectiveness.\",\"PeriodicalId\":103331,\"journal\":{\"name\":\"2018 International Conference on Power, Instrumentation, Control and Computing (PICC)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Power, Instrumentation, Control and Computing (PICC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PICC.2018.8384745\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Power, Instrumentation, Control and Computing (PICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICC.2018.8384745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 8

摘要

本文提出了一种改进的乌鸦搜索算法(MCSA)，用于51总线实用配电系统(PDS)中不同类型分布式发电机组(DG)和分布式静态补偿器(DSTATCOM)的最优尺寸和位置，以提高系统电压，降低线路损耗，实现经济效益最大化，降低污染水平。开发了逻辑和创新的公式来衡量这些设备的技术，经济和环境影响。在改进版本的CSA (MCSA)中，控制参数经过逻辑调整，使其与迭代自适应。在不同的负荷水平下，对各类设备进行优化配置，完成其技术经济性能和环境性能，以确定最适合PDS的设备。通过与其他算法的比较，验证了该算法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Implementation of crow search algorithm for optimal allocation of DG and DSTATCOM in practical distribution system

In this paper, a modified crow search algorithm (MCSA) is proposed for obtaining the optimal size and site of different types of distributed generations (DG) and distributed static compensator (DSTATCOM) in a 51-bus practical distribution system (PDS) with an aim to improve system voltage, reduce line losses, maximize economic benefit, and decrease the pollution level. Logical and innovative formulas are developed to measure the technical, economic, and environmental impact of these devices. In the modified version of CSA (MCSA), the control parameters are logically tuned to make them adaptive with the iteration. The optimal allocation for each type of device is conducted at different load levels and their techno-economic and environmental performances are accomplished to identify the most suitable device for PDS. The proposed algorithm is compared with the other algorithms to show its effectiveness.

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

2018 International Conference on Power, Instrumentation, Control and Computing (PICC)

自引率

0.00%

发文量