N. Belonogova, V. Tikka, Jouni Haapaniemi, J. Haakana, S. Honkapuro, J. Partanen, P. Heine, Atte Pihkala, H. Hellman, Markku Hvvarinen
{"title":"Methodology to Define a BESS Operating Strategy for the End-Customer in the Changing Business Environment","authors":"N. Belonogova, V. Tikka, Jouni Haapaniemi, J. Haakana, S. Honkapuro, J. Partanen, P. Heine, Atte Pihkala, H. Hellman, Markku Hvvarinen","doi":"10.1109/EEM.2018.8470019","DOIUrl":null,"url":null,"abstract":"The objective of the study is to develop a methodology to define the optimal operating strategy of a battery energy storage system (BESS) on the end-customer's premises that delivers him/her the maximum annual profit. The applications considered are peak shaving and frequency regulation in the FCR-N hourly market. The methodology is applied to a large group of actual end-customers with hourly measured electricity consumption. The results indicate that the operating strategy depends strongly on the shape of the end-customer's load and the reward level in both applications. Finally, the sensitivity parameters and further research needs are listed.","PeriodicalId":334674,"journal":{"name":"2018 15th International Conference on the European Energy Market (EEM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 15th International Conference on the European Energy Market (EEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEM.2018.8470019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The objective of the study is to develop a methodology to define the optimal operating strategy of a battery energy storage system (BESS) on the end-customer's premises that delivers him/her the maximum annual profit. The applications considered are peak shaving and frequency regulation in the FCR-N hourly market. The methodology is applied to a large group of actual end-customers with hourly measured electricity consumption. The results indicate that the operating strategy depends strongly on the shape of the end-customer's load and the reward level in both applications. Finally, the sensitivity parameters and further research needs are listed.