{"title":"配电系统电压调节中的机会约束潮流","authors":"Seyed Naser Hashemipour, J. Aghaei","doi":"10.1109/SGC.2017.8308848","DOIUrl":null,"url":null,"abstract":"The enormous benefits of distributed generation make them used increasingly. But the shortage of proper control of these resources causes problems in the network. The interference in the performance of various network equipment is one of these problems. So, a scheduled planning for the operation of these resources is very important. In current paper, an optimized model with probable constraints is indicated that provides a suitable time scheduling for coordinating the performance of the tap-changer, distributed generation sources and batteries, by taking into account the impact of the forecast error of consuming loads and generating power of photovoltaic units. The main characteristic of the indicated method is to consider uncertainty without the need for past system information. Finally, for testing the provided method, the standard network of the IEEE 33-bus has been studied.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"432 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Chance constrained power-flow for voltage regulation in distribution systems\",\"authors\":\"Seyed Naser Hashemipour, J. Aghaei\",\"doi\":\"10.1109/SGC.2017.8308848\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The enormous benefits of distributed generation make them used increasingly. But the shortage of proper control of these resources causes problems in the network. The interference in the performance of various network equipment is one of these problems. So, a scheduled planning for the operation of these resources is very important. In current paper, an optimized model with probable constraints is indicated that provides a suitable time scheduling for coordinating the performance of the tap-changer, distributed generation sources and batteries, by taking into account the impact of the forecast error of consuming loads and generating power of photovoltaic units. The main characteristic of the indicated method is to consider uncertainty without the need for past system information. Finally, for testing the provided method, the standard network of the IEEE 33-bus has been studied.\",\"PeriodicalId\":346749,\"journal\":{\"name\":\"2017 Smart Grid Conference (SGC)\",\"volume\":\"432 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Smart Grid Conference (SGC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SGC.2017.8308848\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Smart Grid Conference (SGC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SGC.2017.8308848","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Chance constrained power-flow for voltage regulation in distribution systems
The enormous benefits of distributed generation make them used increasingly. But the shortage of proper control of these resources causes problems in the network. The interference in the performance of various network equipment is one of these problems. So, a scheduled planning for the operation of these resources is very important. In current paper, an optimized model with probable constraints is indicated that provides a suitable time scheduling for coordinating the performance of the tap-changer, distributed generation sources and batteries, by taking into account the impact of the forecast error of consuming loads and generating power of photovoltaic units. The main characteristic of the indicated method is to consider uncertainty without the need for past system information. Finally, for testing the provided method, the standard network of the IEEE 33-bus has been studied.