{"title":"Assessment of storage system benefits on the reliability and the cost of composite electric power systems","authors":"Aysun Koksal, A. Ozdemir","doi":"10.1109/energycon53164.2022.9830161","DOIUrl":null,"url":null,"abstract":"Increasing penetration of intermittent renewable generation and demand uncertainty in electric power systems has accelerated the efforts to improve system reliability. This study presents a method to identify the benefits of the two representative storage systems in composite electric power systems in terms of system reliability and cost-effectivity. At first, the reliability indices of the system are determined using the results of contingency analysis integrated with Monte Carlo simulations. Then the total costs, including the generation, storage, and low-reliability costs, are calculated. The proposed method is applied to the IEEE-RTS-96 test system to quantify the benefits. The two alternatives, namely, Compressed Air Energy Storage Systems (CAES) and Battery Energy Storage Systems (BESS), are compared to their overall cost benefits.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 7th International Energy Conference (ENERGYCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/energycon53164.2022.9830161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Increasing penetration of intermittent renewable generation and demand uncertainty in electric power systems has accelerated the efforts to improve system reliability. This study presents a method to identify the benefits of the two representative storage systems in composite electric power systems in terms of system reliability and cost-effectivity. At first, the reliability indices of the system are determined using the results of contingency analysis integrated with Monte Carlo simulations. Then the total costs, including the generation, storage, and low-reliability costs, are calculated. The proposed method is applied to the IEEE-RTS-96 test system to quantify the benefits. The two alternatives, namely, Compressed Air Energy Storage Systems (CAES) and Battery Energy Storage Systems (BESS), are compared to their overall cost benefits.
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