M. Miyagi, Shuta Morinaga, Yuhei Shiroma, T. Funabashi
{"title":"不间断智能住宅中基于下垂控制和模糊控制的最优负荷分担","authors":"M. Miyagi, Shuta Morinaga, Yuhei Shiroma, T. Funabashi","doi":"10.1109/IFEEC.2013.6687487","DOIUrl":null,"url":null,"abstract":"Currently, use of the electric vehicle (EV) has begun to spread rapidly and there is a possibility that the EV can be connected with the smart house to control charging or discharging operations. In this case, the smart house has to perform optimal load sharing control according to the state of charge of the storage battery and the battery capacity. In this paper, a method of optimal load sharing using droop control and fuzzy control is proposed for a smart house which is equipped with a PV system, EV, storage battery, and HEMS. Optimal load sharing is achieved by changing the droop characteristics of the each inverters which connected to the PV system, storage battery, and EV by using fuzzy control. The effectiveness of the proposed method is verified by simulation results in the Matlab®/SimPowerSystems environment.","PeriodicalId":191469,"journal":{"name":"2013 1st International Future Energy Electronics Conference (IFEEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal load sharing using droop control and fuzzy control in uninterruptible smart house\",\"authors\":\"M. Miyagi, Shuta Morinaga, Yuhei Shiroma, T. Funabashi\",\"doi\":\"10.1109/IFEEC.2013.6687487\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Currently, use of the electric vehicle (EV) has begun to spread rapidly and there is a possibility that the EV can be connected with the smart house to control charging or discharging operations. In this case, the smart house has to perform optimal load sharing control according to the state of charge of the storage battery and the battery capacity. In this paper, a method of optimal load sharing using droop control and fuzzy control is proposed for a smart house which is equipped with a PV system, EV, storage battery, and HEMS. Optimal load sharing is achieved by changing the droop characteristics of the each inverters which connected to the PV system, storage battery, and EV by using fuzzy control. The effectiveness of the proposed method is verified by simulation results in the Matlab®/SimPowerSystems environment.\",\"PeriodicalId\":191469,\"journal\":{\"name\":\"2013 1st International Future Energy Electronics Conference (IFEEC)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 1st International Future Energy Electronics Conference (IFEEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IFEEC.2013.6687487\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 1st International Future Energy Electronics Conference (IFEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IFEEC.2013.6687487","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal load sharing using droop control and fuzzy control in uninterruptible smart house
Currently, use of the electric vehicle (EV) has begun to spread rapidly and there is a possibility that the EV can be connected with the smart house to control charging or discharging operations. In this case, the smart house has to perform optimal load sharing control according to the state of charge of the storage battery and the battery capacity. In this paper, a method of optimal load sharing using droop control and fuzzy control is proposed for a smart house which is equipped with a PV system, EV, storage battery, and HEMS. Optimal load sharing is achieved by changing the droop characteristics of the each inverters which connected to the PV system, storage battery, and EV by using fuzzy control. The effectiveness of the proposed method is verified by simulation results in the Matlab®/SimPowerSystems environment.