S. Salimon, Quadri Oyewale Lawal, O. W. Adebiyi, M. Okelola
{"title":"Cost-Benefit of Optimal Allocation of DSTATCOM in Distribution Networks Using Ant-Lion Optimization Algorithm","authors":"S. Salimon, Quadri Oyewale Lawal, O. W. Adebiyi, M. Okelola","doi":"10.3311/ppee.20549","DOIUrl":null,"url":null,"abstract":"Distribution Static Compensators (DSTATCOMs) are considered to be one of the most cost-effective modern devices for reactive compensation in distribution networks. However, the DSTATCOMs sizing and their deployment position are important factors to consider in order to get the most out of their installation. This study proposes the use of the Ant-Lion Optimization Algorithm (ALOA) for the appropriate allocation of the DSTATCOM with the goal of maximization of the cost-benefit derived from the reduction in the cost of power purchased from the transmission grid less the DSTATCOM cost for the distribution networks in order to find its appropriate allocation. The suggested technique is tested on a Nigerian Dada 46-bus system as well as an IEEE 33 bus. The simulation results for the IEEE 33-bus system reveal that the cost benefits of $ 100,601, $ 108,212, and $ 89,422 were actualized for one, two, and three DSTATCOMs allocations, respectively, while the figures for the Dada 46-bus system were $ 482,166, $ 574,546, and $ 531,415, respectively. In terms of real power loss in the IEEE 33-bus, the suggested method was determined to be quite effective for DSTATCOM allocation when compared to similar studies in the literature.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"32 1","pages":"350-360"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Periodica polytechnica Electrical engineering and computer science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3311/ppee.20549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 2
Abstract
Distribution Static Compensators (DSTATCOMs) are considered to be one of the most cost-effective modern devices for reactive compensation in distribution networks. However, the DSTATCOMs sizing and their deployment position are important factors to consider in order to get the most out of their installation. This study proposes the use of the Ant-Lion Optimization Algorithm (ALOA) for the appropriate allocation of the DSTATCOM with the goal of maximization of the cost-benefit derived from the reduction in the cost of power purchased from the transmission grid less the DSTATCOM cost for the distribution networks in order to find its appropriate allocation. The suggested technique is tested on a Nigerian Dada 46-bus system as well as an IEEE 33 bus. The simulation results for the IEEE 33-bus system reveal that the cost benefits of $ 100,601, $ 108,212, and $ 89,422 were actualized for one, two, and three DSTATCOMs allocations, respectively, while the figures for the Dada 46-bus system were $ 482,166, $ 574,546, and $ 531,415, respectively. In terms of real power loss in the IEEE 33-bus, the suggested method was determined to be quite effective for DSTATCOM allocation when compared to similar studies in the literature.
期刊介绍:
The main scope of the journal is to publish original research articles in the wide field of electrical engineering and informatics fitting into one of the following five Sections of the Journal: (i) Communication systems, networks and technology, (ii) Computer science and information theory, (iii) Control, signal processing and signal analysis, medical applications, (iv) Components, Microelectronics and Material Sciences, (v) Power engineering and mechatronics, (vi) Mobile Software, Internet of Things and Wearable Devices, (vii) Solid-state lighting and (viii) Vehicular Technology (land, airborne, and maritime mobile services; automotive, radar systems; antennas and radio wave propagation).