{"title":"探讨分布式发电在电网集成中的最佳应用","authors":"K. Moloi, H. Langa","doi":"10.1109/ISCMI56532.2022.10068444","DOIUrl":null,"url":null,"abstract":"The energy supply framework has transformed over the recent time from tradition to a more flexible energy topology. This has resulted in the introduction of using distributed generation technologies to improve the sustainability of energy supply. However, the introduction of distributed generation for grid-integration has technical disadvantages, such as increase in power and voltage losses. In this paper, a technique based on discrete wavelet transform (DWT) and the genetic algorithm (GA) is proposed to determine the optimal location and size of the DGs to be connected into the grid for power loss minimisation and voltage improvement. The technique is tested using the 33 and 69 IEEE test bus system. The results obtained show that the power losses are significantly reduced with an increase in the voltage profile.","PeriodicalId":340397,"journal":{"name":"2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards Determining the Optimal Application of Distributed Generation for Grid Integration\",\"authors\":\"K. Moloi, H. Langa\",\"doi\":\"10.1109/ISCMI56532.2022.10068444\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The energy supply framework has transformed over the recent time from tradition to a more flexible energy topology. This has resulted in the introduction of using distributed generation technologies to improve the sustainability of energy supply. However, the introduction of distributed generation for grid-integration has technical disadvantages, such as increase in power and voltage losses. In this paper, a technique based on discrete wavelet transform (DWT) and the genetic algorithm (GA) is proposed to determine the optimal location and size of the DGs to be connected into the grid for power loss minimisation and voltage improvement. The technique is tested using the 33 and 69 IEEE test bus system. The results obtained show that the power losses are significantly reduced with an increase in the voltage profile.\",\"PeriodicalId\":340397,\"journal\":{\"name\":\"2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCMI56532.2022.10068444\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCMI56532.2022.10068444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Determining the Optimal Application of Distributed Generation for Grid Integration
The energy supply framework has transformed over the recent time from tradition to a more flexible energy topology. This has resulted in the introduction of using distributed generation technologies to improve the sustainability of energy supply. However, the introduction of distributed generation for grid-integration has technical disadvantages, such as increase in power and voltage losses. In this paper, a technique based on discrete wavelet transform (DWT) and the genetic algorithm (GA) is proposed to determine the optimal location and size of the DGs to be connected into the grid for power loss minimisation and voltage improvement. The technique is tested using the 33 and 69 IEEE test bus system. The results obtained show that the power losses are significantly reduced with an increase in the voltage profile.