{"title":"配电网能源单元集成的快速可行性评估","authors":"Sicheng Gong;J. K. Kok;J. F. G. Cobben","doi":"10.1109/TPWRS.2024.3453043","DOIUrl":null,"url":null,"abstract":"In contemporary heavy-load distribution networks, preceding feasibility assessment is imperative before incorporating additional energy units. However, the feasibility examination for massive combined operational scenarios of relevant units is computationally intensive with repetitive power flow calculations. To this end, this paper proposes a rapid assessment framework, the kernel of which is to learn from formerly examined scenarios, thus forming expansive feasible/infeasible regions to geometrically rule in/out subsequent scenarios. By sidestepping the power flow computation in most scenarios, we accelerate the assessment process. Furthermore, enlightened by heuristic hypersurface search, such prechecking efficiency can be boosted by resorting the scenario sequence. In a risk-averse manner, this framework can be conceptualized using the exact grid model, though it is initially designed for the convex grid model. Evidenced by testing on two different-scale distribution grids, the framework shows a significant assessment efficiency improvement and strict accuracy guarantee, where we observe at least 76.13% assessment time reduction and zero accuracy loss. We anticipate this work to be a starting point for more sophisticated geometry-accelerating feasibility assessment methods.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"40 2","pages":"1868-1879"},"PeriodicalIF":6.5000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rapid Feasibility Assessment of Energy Unit Integration in Distribution Networks\",\"authors\":\"Sicheng Gong;J. K. Kok;J. F. G. Cobben\",\"doi\":\"10.1109/TPWRS.2024.3453043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In contemporary heavy-load distribution networks, preceding feasibility assessment is imperative before incorporating additional energy units. However, the feasibility examination for massive combined operational scenarios of relevant units is computationally intensive with repetitive power flow calculations. To this end, this paper proposes a rapid assessment framework, the kernel of which is to learn from formerly examined scenarios, thus forming expansive feasible/infeasible regions to geometrically rule in/out subsequent scenarios. By sidestepping the power flow computation in most scenarios, we accelerate the assessment process. Furthermore, enlightened by heuristic hypersurface search, such prechecking efficiency can be boosted by resorting the scenario sequence. In a risk-averse manner, this framework can be conceptualized using the exact grid model, though it is initially designed for the convex grid model. Evidenced by testing on two different-scale distribution grids, the framework shows a significant assessment efficiency improvement and strict accuracy guarantee, where we observe at least 76.13% assessment time reduction and zero accuracy loss. We anticipate this work to be a starting point for more sophisticated geometry-accelerating feasibility assessment methods.\",\"PeriodicalId\":13373,\"journal\":{\"name\":\"IEEE Transactions on Power Systems\",\"volume\":\"40 2\",\"pages\":\"1868-1879\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2024-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Power Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10663504/\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Power Systems","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10663504/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Rapid Feasibility Assessment of Energy Unit Integration in Distribution Networks
In contemporary heavy-load distribution networks, preceding feasibility assessment is imperative before incorporating additional energy units. However, the feasibility examination for massive combined operational scenarios of relevant units is computationally intensive with repetitive power flow calculations. To this end, this paper proposes a rapid assessment framework, the kernel of which is to learn from formerly examined scenarios, thus forming expansive feasible/infeasible regions to geometrically rule in/out subsequent scenarios. By sidestepping the power flow computation in most scenarios, we accelerate the assessment process. Furthermore, enlightened by heuristic hypersurface search, such prechecking efficiency can be boosted by resorting the scenario sequence. In a risk-averse manner, this framework can be conceptualized using the exact grid model, though it is initially designed for the convex grid model. Evidenced by testing on two different-scale distribution grids, the framework shows a significant assessment efficiency improvement and strict accuracy guarantee, where we observe at least 76.13% assessment time reduction and zero accuracy loss. We anticipate this work to be a starting point for more sophisticated geometry-accelerating feasibility assessment methods.
期刊介绍:
The scope of IEEE Transactions on Power Systems covers the education, analysis, operation, planning, and economics of electric generation, transmission, and distribution systems for general industrial, commercial, public, and domestic consumption, including the interaction with multi-energy carriers. The focus of this transactions is the power system from a systems viewpoint instead of components of the system. It has five (5) key areas within its scope with several technical topics within each area. These areas are: (1) Power Engineering Education, (2) Power System Analysis, Computing, and Economics, (3) Power System Dynamic Performance, (4) Power System Operations, and (5) Power System Planning and Implementation.