Muhammad Hasan Basri Paleba, Lesnanto Multa Putranto, S. P. Hadi
{"title":"基于粒子群算法的配电系统分布式风力发电布局优化","authors":"Muhammad Hasan Basri Paleba, Lesnanto Multa Putranto, S. P. Hadi","doi":"10.1109/ICITEE49829.2020.9271671","DOIUrl":null,"url":null,"abstract":"Distributed Generation (DG) is a system of generating electricity from energy sources with small capacity, in this paper DG is generated from wind renewable energy source to reduce fossil fuel usage. DG has several functions such as power loss minimization and voltage profile improvement. In this study, location and size of wind-DG in the modified IEEE 33 bus test system were determined. Optimization procedure to minimize power loss and Voltage Deviation (VD) was formulated. There are two scenarios were simulated, there are one wind-DG and two wind-DG locations. The optimization was simulated using Particle Swarm Optimization (PSO) technique under MATLAB environment. The results were proven that the objective function satisfied. Furthermore, the total losses becomes 2.459 MWh in the first scenario and 2.209 MWh in the second scenario. Maximum VD value is on bus 18 with sample results in low load at 03:00 am and peak load at 07:00 pm, with a value 0.040 pu in the first scenario and 0.032 pu in the second scenario at 03:00 am. Then at 07:00 pm with a VD value 0.042 pu in the first scenario and 0.035 pu in second scenario.","PeriodicalId":245013,"journal":{"name":"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Optimal Placement and Sizing Distributed Wind Generation Using Particle Swarm Optimization in Distribution System\",\"authors\":\"Muhammad Hasan Basri Paleba, Lesnanto Multa Putranto, S. P. Hadi\",\"doi\":\"10.1109/ICITEE49829.2020.9271671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distributed Generation (DG) is a system of generating electricity from energy sources with small capacity, in this paper DG is generated from wind renewable energy source to reduce fossil fuel usage. DG has several functions such as power loss minimization and voltage profile improvement. In this study, location and size of wind-DG in the modified IEEE 33 bus test system were determined. Optimization procedure to minimize power loss and Voltage Deviation (VD) was formulated. There are two scenarios were simulated, there are one wind-DG and two wind-DG locations. The optimization was simulated using Particle Swarm Optimization (PSO) technique under MATLAB environment. The results were proven that the objective function satisfied. Furthermore, the total losses becomes 2.459 MWh in the first scenario and 2.209 MWh in the second scenario. Maximum VD value is on bus 18 with sample results in low load at 03:00 am and peak load at 07:00 pm, with a value 0.040 pu in the first scenario and 0.032 pu in the second scenario at 03:00 am. Then at 07:00 pm with a VD value 0.042 pu in the first scenario and 0.035 pu in second scenario.\",\"PeriodicalId\":245013,\"journal\":{\"name\":\"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITEE49829.2020.9271671\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEE49829.2020.9271671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Placement and Sizing Distributed Wind Generation Using Particle Swarm Optimization in Distribution System
Distributed Generation (DG) is a system of generating electricity from energy sources with small capacity, in this paper DG is generated from wind renewable energy source to reduce fossil fuel usage. DG has several functions such as power loss minimization and voltage profile improvement. In this study, location and size of wind-DG in the modified IEEE 33 bus test system were determined. Optimization procedure to minimize power loss and Voltage Deviation (VD) was formulated. There are two scenarios were simulated, there are one wind-DG and two wind-DG locations. The optimization was simulated using Particle Swarm Optimization (PSO) technique under MATLAB environment. The results were proven that the objective function satisfied. Furthermore, the total losses becomes 2.459 MWh in the first scenario and 2.209 MWh in the second scenario. Maximum VD value is on bus 18 with sample results in low load at 03:00 am and peak load at 07:00 pm, with a value 0.040 pu in the first scenario and 0.032 pu in the second scenario at 03:00 am. Then at 07:00 pm with a VD value 0.042 pu in the first scenario and 0.035 pu in second scenario.