Ignatius Rendroyoko, N. Sinisuka, Deddy P. Koesrindartoto
{"title":"微网系统中可变可再生能源电厂集成的机组承诺优化方案","authors":"Ignatius Rendroyoko, N. Sinisuka, Deddy P. Koesrindartoto","doi":"10.1109/ICHVEPS47643.2019.9011115","DOIUrl":null,"url":null,"abstract":"With the development of technology, renewable energy sources (RES) have been developed on islands and electricity systems in isolated areas, including RES which have intermittent characteristics. Those variable renewable energy power plants are operated by integration into existing power systems. The rapid increase of variable RES power plants integration into electricity network has given effect on the development of unit commitment (UC) schemes which aimed to ensure the operation of electric power systems stability, resilience, and with minimum operating cost can be maintained. To achieve these goals, it is necessary to develop optimization methods to be applied to the UC scheme for the island's electricity system.This paper discusses the most suitable optimization methods for the inclusion of renewable energy power generation using a unit commitment scheme in the microgrid electricity system. The methods here are a hybrid technique which combines enhanced priority list method for accurate generation unit scheduling and genetic algorithm (GA) technique for an optimum search for the lowest operational cost. The capacity of generating units to operate per capability segment is also taken into account in operating scheduling and affects the number of iterations in the operation of genetic algorithm techniques. This method has been simulated on the Timor electricity system, which is a growing power system and has an intermittent RES power plant. Implementation in other locations with other variable RES could provide better results. This method is an enrichment of hybrid techniques developed in previous studies. This enrichment is carried out on the calculation by segmenting the ability of generating units.","PeriodicalId":6677,"journal":{"name":"2019 2nd International Conference on High Voltage Engineering and Power Systems (ICHVEPS)","volume":"12 1","pages":"333-338"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimizing Unit Commitment Schemes for Variable RES Power Plant Integration in Microgrid Systems\",\"authors\":\"Ignatius Rendroyoko, N. Sinisuka, Deddy P. Koesrindartoto\",\"doi\":\"10.1109/ICHVEPS47643.2019.9011115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of technology, renewable energy sources (RES) have been developed on islands and electricity systems in isolated areas, including RES which have intermittent characteristics. Those variable renewable energy power plants are operated by integration into existing power systems. The rapid increase of variable RES power plants integration into electricity network has given effect on the development of unit commitment (UC) schemes which aimed to ensure the operation of electric power systems stability, resilience, and with minimum operating cost can be maintained. To achieve these goals, it is necessary to develop optimization methods to be applied to the UC scheme for the island's electricity system.This paper discusses the most suitable optimization methods for the inclusion of renewable energy power generation using a unit commitment scheme in the microgrid electricity system. The methods here are a hybrid technique which combines enhanced priority list method for accurate generation unit scheduling and genetic algorithm (GA) technique for an optimum search for the lowest operational cost. The capacity of generating units to operate per capability segment is also taken into account in operating scheduling and affects the number of iterations in the operation of genetic algorithm techniques. This method has been simulated on the Timor electricity system, which is a growing power system and has an intermittent RES power plant. Implementation in other locations with other variable RES could provide better results. This method is an enrichment of hybrid techniques developed in previous studies. This enrichment is carried out on the calculation by segmenting the ability of generating units.\",\"PeriodicalId\":6677,\"journal\":{\"name\":\"2019 2nd International Conference on High Voltage Engineering and Power Systems (ICHVEPS)\",\"volume\":\"12 1\",\"pages\":\"333-338\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 2nd International Conference on High Voltage Engineering and Power Systems (ICHVEPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICHVEPS47643.2019.9011115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Conference on High Voltage Engineering and Power Systems (ICHVEPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHVEPS47643.2019.9011115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimizing Unit Commitment Schemes for Variable RES Power Plant Integration in Microgrid Systems
With the development of technology, renewable energy sources (RES) have been developed on islands and electricity systems in isolated areas, including RES which have intermittent characteristics. Those variable renewable energy power plants are operated by integration into existing power systems. The rapid increase of variable RES power plants integration into electricity network has given effect on the development of unit commitment (UC) schemes which aimed to ensure the operation of electric power systems stability, resilience, and with minimum operating cost can be maintained. To achieve these goals, it is necessary to develop optimization methods to be applied to the UC scheme for the island's electricity system.This paper discusses the most suitable optimization methods for the inclusion of renewable energy power generation using a unit commitment scheme in the microgrid electricity system. The methods here are a hybrid technique which combines enhanced priority list method for accurate generation unit scheduling and genetic algorithm (GA) technique for an optimum search for the lowest operational cost. The capacity of generating units to operate per capability segment is also taken into account in operating scheduling and affects the number of iterations in the operation of genetic algorithm techniques. This method has been simulated on the Timor electricity system, which is a growing power system and has an intermittent RES power plant. Implementation in other locations with other variable RES could provide better results. This method is an enrichment of hybrid techniques developed in previous studies. This enrichment is carried out on the calculation by segmenting the ability of generating units.