{"title":"基于先进模型预测控制的能源市场分布式发电控制","authors":"Valeriya V. Dubaylova, N. Mukhlynin, O. Polyakova","doi":"10.1109/ELMA.2019.8771696","DOIUrl":null,"url":null,"abstract":"This paper is devoted to the elaboration of a modern algorithm for distributed generation control in order to reduce the consumer electricity costs. The use of advanced model predictive control is proposed as a mechanism for the output power management of distributed generation units. The advantage of using the advanced model predictive control is that it takes into account the calculation flow model and the unbalanced energy value of the previous dispatch interval. This model can be implemented in the power supply systems of consumers for distributed generation control by means of energy forecasting for the day ahead at the grid nodes.","PeriodicalId":304248,"journal":{"name":"2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA)","volume":"115 11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Distributed Generation Control in Energy Market Conditions Using Advanced Model Predictive Control\",\"authors\":\"Valeriya V. Dubaylova, N. Mukhlynin, O. Polyakova\",\"doi\":\"10.1109/ELMA.2019.8771696\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is devoted to the elaboration of a modern algorithm for distributed generation control in order to reduce the consumer electricity costs. The use of advanced model predictive control is proposed as a mechanism for the output power management of distributed generation units. The advantage of using the advanced model predictive control is that it takes into account the calculation flow model and the unbalanced energy value of the previous dispatch interval. This model can be implemented in the power supply systems of consumers for distributed generation control by means of energy forecasting for the day ahead at the grid nodes.\",\"PeriodicalId\":304248,\"journal\":{\"name\":\"2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA)\",\"volume\":\"115 11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELMA.2019.8771696\",\"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 16th Conference on Electrical Machines, Drives and Power Systems (ELMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELMA.2019.8771696","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed Generation Control in Energy Market Conditions Using Advanced Model Predictive Control
This paper is devoted to the elaboration of a modern algorithm for distributed generation control in order to reduce the consumer electricity costs. The use of advanced model predictive control is proposed as a mechanism for the output power management of distributed generation units. The advantage of using the advanced model predictive control is that it takes into account the calculation flow model and the unbalanced energy value of the previous dispatch interval. This model can be implemented in the power supply systems of consumers for distributed generation control by means of energy forecasting for the day ahead at the grid nodes.