G. S. Sivasankari, S. Prasanthini, N. Vijithra, K. Narayanan, Gulshan Sharma, T. Senjyu
{"title":"LMP市场中基于价格预测和能源调度的效用收益最大化","authors":"G. S. Sivasankari, S. Prasanthini, N. Vijithra, K. Narayanan, Gulshan Sharma, T. Senjyu","doi":"10.1109/PARC52418.2022.9726664","DOIUrl":null,"url":null,"abstract":"The Locational Marginal Pricing (LMP) approach to electricity pricing generally supports the efficient operation of existing resources. Forecasting of the load and the price of electricity can be achieved vibrantly apace with the help of LMP. Load and price forecasting of the system is much indispensable to have a smooth running of the system operation in the aspect of utility and consumer. Price forecast may result in significantly different economic impacts on the utility. The inaccuracy in the forecast can be quantified by implementing the penalizing concept for the error raised in the forecasting of the load. By means of indulging the approach of penalizing the usage of load beyond the forecast, the revenue of the utility can be increased alongside boosting the customer to stick with the concept to conserve and manage the consumption of energy utilized.","PeriodicalId":158896,"journal":{"name":"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Revenue Maximization of Utility based on Price Forecasting and Energy Scheduling in LMP Market\",\"authors\":\"G. S. Sivasankari, S. Prasanthini, N. Vijithra, K. Narayanan, Gulshan Sharma, T. Senjyu\",\"doi\":\"10.1109/PARC52418.2022.9726664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Locational Marginal Pricing (LMP) approach to electricity pricing generally supports the efficient operation of existing resources. Forecasting of the load and the price of electricity can be achieved vibrantly apace with the help of LMP. Load and price forecasting of the system is much indispensable to have a smooth running of the system operation in the aspect of utility and consumer. Price forecast may result in significantly different economic impacts on the utility. The inaccuracy in the forecast can be quantified by implementing the penalizing concept for the error raised in the forecasting of the load. By means of indulging the approach of penalizing the usage of load beyond the forecast, the revenue of the utility can be increased alongside boosting the customer to stick with the concept to conserve and manage the consumption of energy utilized.\",\"PeriodicalId\":158896,\"journal\":{\"name\":\"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PARC52418.2022.9726664\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PARC52418.2022.9726664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Revenue Maximization of Utility based on Price Forecasting and Energy Scheduling in LMP Market
The Locational Marginal Pricing (LMP) approach to electricity pricing generally supports the efficient operation of existing resources. Forecasting of the load and the price of electricity can be achieved vibrantly apace with the help of LMP. Load and price forecasting of the system is much indispensable to have a smooth running of the system operation in the aspect of utility and consumer. Price forecast may result in significantly different economic impacts on the utility. The inaccuracy in the forecast can be quantified by implementing the penalizing concept for the error raised in the forecasting of the load. By means of indulging the approach of penalizing the usage of load beyond the forecast, the revenue of the utility can be increased alongside boosting the customer to stick with the concept to conserve and manage the consumption of energy utilized.