{"title":"基于Petri网和模糊逻辑方法的微电网潮流优化管理策略","authors":"Marouane Lagouir, A. Badri, Y. Sayouti","doi":"10.1109/ICOA.2018.8370517","DOIUrl":null,"url":null,"abstract":"This paper aimed to optimal power management strategies for real time operation of an hybrid ac/dc microgrid. The main objective of this work is to design, and implement supervision systems to schedule the power delivery of proposed microgrid. Two approaches are performed, the first based on petri nets (PN) formalism, and the second using fuzzy logic system. A comparative study of the performance of each management system is performed taking into account operating cost optimization, meeting energy needs and grid supply limitation. The results show that the fuzzy logic approach ensures optimal operating system with considerably minimization in unsatisfied power and operating cost.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Optimal power flow management strategies of MicroGrid, using Petri Nets and fuzzy logic approaches\",\"authors\":\"Marouane Lagouir, A. Badri, Y. Sayouti\",\"doi\":\"10.1109/ICOA.2018.8370517\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aimed to optimal power management strategies for real time operation of an hybrid ac/dc microgrid. The main objective of this work is to design, and implement supervision systems to schedule the power delivery of proposed microgrid. Two approaches are performed, the first based on petri nets (PN) formalism, and the second using fuzzy logic system. A comparative study of the performance of each management system is performed taking into account operating cost optimization, meeting energy needs and grid supply limitation. The results show that the fuzzy logic approach ensures optimal operating system with considerably minimization in unsatisfied power and operating cost.\",\"PeriodicalId\":433166,\"journal\":{\"name\":\"2018 4th International Conference on Optimization and Applications (ICOA)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 4th International Conference on Optimization and Applications (ICOA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOA.2018.8370517\",\"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 4th International Conference on Optimization and Applications (ICOA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOA.2018.8370517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal power flow management strategies of MicroGrid, using Petri Nets and fuzzy logic approaches
This paper aimed to optimal power management strategies for real time operation of an hybrid ac/dc microgrid. The main objective of this work is to design, and implement supervision systems to schedule the power delivery of proposed microgrid. Two approaches are performed, the first based on petri nets (PN) formalism, and the second using fuzzy logic system. A comparative study of the performance of each management system is performed taking into account operating cost optimization, meeting energy needs and grid supply limitation. The results show that the fuzzy logic approach ensures optimal operating system with considerably minimization in unsatisfied power and operating cost.