{"title":"使用分布式解决方案的分布式稳健机会约束输电扩展规划","authors":"Sanaz Mahmoudi;Behnam Alizadeh;Shahab Dehghan","doi":"10.1109/TNSE.2024.3432754","DOIUrl":null,"url":null,"abstract":"Determining cost-effective transmission expansion plans in interconnected multi-region power systems requires a computationally tractable methodology that successfully characterizes major uncertainty sources and preserves the information privacy of regions (agents) reasonably. However, previous approaches usually fail to offer computational tractability and preserve privacy reasonably across different regions for multi-regional investment planning under uncertainty. To address these essential points, this paper first proposes a distributionally robust chance-constrained framework for transmission expansion planning (DR-TEP), which characterizes uncertainties of load demands and renewable power productions by a moment-based ambiguity set. The ambiguity set is constructed based on the first- and second-moment information and guarantees the robustness of the expansion plan against different probability distributions. Then, the alternating direction method of multipliers with a novel data exchange scheme is utilized to reformulate the proposed DR-TEP for each region with a central coordinator concerning local characteristics and interactions. The proposed information exchange is limited to power flows through existing and candidate inter-regional lines, Lagrangian multipliers, as well as output powers of thermal units to protect each region's privacy reasonably. Finally, three case studies on IEEE 24-bus and 118-bus test systems as well as the real-world Brazilian system validate the performance of the presented mathematical formulations.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"11 6","pages":"6431-6447"},"PeriodicalIF":6.7000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distributionally Robust Chance-Constrained Transmission Expansion Planning Using a Distributed Solution Method\",\"authors\":\"Sanaz Mahmoudi;Behnam Alizadeh;Shahab Dehghan\",\"doi\":\"10.1109/TNSE.2024.3432754\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Determining cost-effective transmission expansion plans in interconnected multi-region power systems requires a computationally tractable methodology that successfully characterizes major uncertainty sources and preserves the information privacy of regions (agents) reasonably. However, previous approaches usually fail to offer computational tractability and preserve privacy reasonably across different regions for multi-regional investment planning under uncertainty. To address these essential points, this paper first proposes a distributionally robust chance-constrained framework for transmission expansion planning (DR-TEP), which characterizes uncertainties of load demands and renewable power productions by a moment-based ambiguity set. The ambiguity set is constructed based on the first- and second-moment information and guarantees the robustness of the expansion plan against different probability distributions. Then, the alternating direction method of multipliers with a novel data exchange scheme is utilized to reformulate the proposed DR-TEP for each region with a central coordinator concerning local characteristics and interactions. The proposed information exchange is limited to power flows through existing and candidate inter-regional lines, Lagrangian multipliers, as well as output powers of thermal units to protect each region's privacy reasonably. Finally, three case studies on IEEE 24-bus and 118-bus test systems as well as the real-world Brazilian system validate the performance of the presented mathematical formulations.\",\"PeriodicalId\":54229,\"journal\":{\"name\":\"IEEE Transactions on Network Science and Engineering\",\"volume\":\"11 6\",\"pages\":\"6431-6447\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2024-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Network Science and Engineering\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10607938/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Network Science and Engineering","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10607938/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Distributionally Robust Chance-Constrained Transmission Expansion Planning Using a Distributed Solution Method
Determining cost-effective transmission expansion plans in interconnected multi-region power systems requires a computationally tractable methodology that successfully characterizes major uncertainty sources and preserves the information privacy of regions (agents) reasonably. However, previous approaches usually fail to offer computational tractability and preserve privacy reasonably across different regions for multi-regional investment planning under uncertainty. To address these essential points, this paper first proposes a distributionally robust chance-constrained framework for transmission expansion planning (DR-TEP), which characterizes uncertainties of load demands and renewable power productions by a moment-based ambiguity set. The ambiguity set is constructed based on the first- and second-moment information and guarantees the robustness of the expansion plan against different probability distributions. Then, the alternating direction method of multipliers with a novel data exchange scheme is utilized to reformulate the proposed DR-TEP for each region with a central coordinator concerning local characteristics and interactions. The proposed information exchange is limited to power flows through existing and candidate inter-regional lines, Lagrangian multipliers, as well as output powers of thermal units to protect each region's privacy reasonably. Finally, three case studies on IEEE 24-bus and 118-bus test systems as well as the real-world Brazilian system validate the performance of the presented mathematical formulations.
期刊介绍:
The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.