{"title":"从当地边际价格中提取复原力采购成本的连锁规则","authors":"Yifei Wang;Tong Zhu;Tiancong Chen;Mohammad Shahidehpour;Qingshan Xu","doi":"10.17775/CSEEJPES.2022.04830","DOIUrl":null,"url":null,"abstract":"Power system resilience procurement costs in \n<tex>$N$</tex>\n - \n<tex>$k$</tex>\n contingencies have gained more prominence as number of extreme events continues to increase. A chain rule is presented in this paper for extracting resilience procurement costs from a fully decomposed locational marginal price (LMP) model. First, power transfer distribution factor (PTDF) matrices with AC power flow (i.e., AC-PTDF) are determined. AC-PTDF and AC-LODF (line outage distribution factor) equations are derived for \n<tex>$N$</tex>\n - \n<tex>$k$</tex>\n contingencies and a fully decomposed LMP model is developed where generation and transmission security components are established for specific contingencies. Furthermore, resilience procurement costs can be measured at different buses for the proposed security components. Impact of \n<tex>$N$</tex>\n - \n<tex>$k$</tex>\n contingencies on resilience procurement costs at specific buses can be determined as proposed security components will gain more insight for resilience procurement in power systems. The modified IEEE 6-bus and 118-bus systems are adopted to verify effectiveness of the proposed resilience procurement method.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":6.9000,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10165669","citationCount":"0","resultStr":"{\"title\":\"Chain Rule for Extracting Resilience Procurement Costs from Locational Marginal Prices\",\"authors\":\"Yifei Wang;Tong Zhu;Tiancong Chen;Mohammad Shahidehpour;Qingshan Xu\",\"doi\":\"10.17775/CSEEJPES.2022.04830\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power system resilience procurement costs in \\n<tex>$N$</tex>\\n - \\n<tex>$k$</tex>\\n contingencies have gained more prominence as number of extreme events continues to increase. A chain rule is presented in this paper for extracting resilience procurement costs from a fully decomposed locational marginal price (LMP) model. First, power transfer distribution factor (PTDF) matrices with AC power flow (i.e., AC-PTDF) are determined. AC-PTDF and AC-LODF (line outage distribution factor) equations are derived for \\n<tex>$N$</tex>\\n - \\n<tex>$k$</tex>\\n contingencies and a fully decomposed LMP model is developed where generation and transmission security components are established for specific contingencies. Furthermore, resilience procurement costs can be measured at different buses for the proposed security components. Impact of \\n<tex>$N$</tex>\\n - \\n<tex>$k$</tex>\\n contingencies on resilience procurement costs at specific buses can be determined as proposed security components will gain more insight for resilience procurement in power systems. The modified IEEE 6-bus and 118-bus systems are adopted to verify effectiveness of the proposed resilience procurement method.\",\"PeriodicalId\":10729,\"journal\":{\"name\":\"CSEE Journal of Power and Energy Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2023-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10165669\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CSEE Journal of Power and Energy Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10165669/\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CSEE Journal of Power and Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10165669/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Chain Rule for Extracting Resilience Procurement Costs from Locational Marginal Prices
Power system resilience procurement costs in
$N$
-
$k$
contingencies have gained more prominence as number of extreme events continues to increase. A chain rule is presented in this paper for extracting resilience procurement costs from a fully decomposed locational marginal price (LMP) model. First, power transfer distribution factor (PTDF) matrices with AC power flow (i.e., AC-PTDF) are determined. AC-PTDF and AC-LODF (line outage distribution factor) equations are derived for
$N$
-
$k$
contingencies and a fully decomposed LMP model is developed where generation and transmission security components are established for specific contingencies. Furthermore, resilience procurement costs can be measured at different buses for the proposed security components. Impact of
$N$
-
$k$
contingencies on resilience procurement costs at specific buses can be determined as proposed security components will gain more insight for resilience procurement in power systems. The modified IEEE 6-bus and 118-bus systems are adopted to verify effectiveness of the proposed resilience procurement method.
期刊介绍:
The CSEE Journal of Power and Energy Systems (JPES) is an international bimonthly journal published by the Chinese Society for Electrical Engineering (CSEE) in collaboration with CEPRI (China Electric Power Research Institute) and IEEE (The Institute of Electrical and Electronics Engineers) Inc. Indexed by SCI, Scopus, INSPEC, CSAD (Chinese Science Abstracts Database), DOAJ, and ProQuest, it serves as a platform for reporting cutting-edge theories, methods, technologies, and applications shaping the development of power systems in energy transition. The journal offers authors an international platform to enhance the reach and impact of their contributions.