Vincent F. Yu, Quyen Vo Nguyen Truc, Nguyen Ngoc Minh
{"title":"考虑可再生能源和储能的发电机和输电线路的综合维护调度","authors":"Vincent F. Yu, Quyen Vo Nguyen Truc, Nguyen Ngoc Minh","doi":"10.1016/j.epsr.2025.111696","DOIUrl":null,"url":null,"abstract":"<div><div>An efficient and reliable energy system is imperative to meet the escalating energy demand, address environmental issues, and accommodate technological advancements. This study aims to develop optimal strategies for integrated maintenance scheduling (IMS) in energy systems, considering factors such as generating units, transmission networks, and power flow constraints. The proposed maintenance strategy incorporates a scenario-based model to account for the uncertainty in power generation from renewable sources, validated using a realistic dataset from Taiwan. This dataset includes wind speed records from offshore wind farms and solar radiation records with photovoltaic module specifications. Additionally, energy storage (ES) is integrated to mitigate potential energy deficits during peak load periods or maintenance outages. The primary objective is to minimize total operational and maintenance costs, and energy not supplied (ENS), while adhering to safety and reliability regulations. A mixed nonlinear integer programming model is formulated for the IMS problem. The BARON solver is used to solve small-scale problems, while a genetic algorithm-based matheuristic is developed to solve large-scale problems. The results demonstrate that the proposed algorithm improves solving efficiency while reducing computational time. Additionally, integrating the ES system reduces ENS and positively impacts system costs.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"246 ","pages":"Article 111696"},"PeriodicalIF":3.3000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrated maintenance scheduling for generators and transmission lines considering renewable energy sources and energy storages\",\"authors\":\"Vincent F. Yu, Quyen Vo Nguyen Truc, Nguyen Ngoc Minh\",\"doi\":\"10.1016/j.epsr.2025.111696\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>An efficient and reliable energy system is imperative to meet the escalating energy demand, address environmental issues, and accommodate technological advancements. This study aims to develop optimal strategies for integrated maintenance scheduling (IMS) in energy systems, considering factors such as generating units, transmission networks, and power flow constraints. The proposed maintenance strategy incorporates a scenario-based model to account for the uncertainty in power generation from renewable sources, validated using a realistic dataset from Taiwan. This dataset includes wind speed records from offshore wind farms and solar radiation records with photovoltaic module specifications. Additionally, energy storage (ES) is integrated to mitigate potential energy deficits during peak load periods or maintenance outages. The primary objective is to minimize total operational and maintenance costs, and energy not supplied (ENS), while adhering to safety and reliability regulations. A mixed nonlinear integer programming model is formulated for the IMS problem. The BARON solver is used to solve small-scale problems, while a genetic algorithm-based matheuristic is developed to solve large-scale problems. The results demonstrate that the proposed algorithm improves solving efficiency while reducing computational time. Additionally, integrating the ES system reduces ENS and positively impacts system costs.</div></div>\",\"PeriodicalId\":50547,\"journal\":{\"name\":\"Electric Power Systems Research\",\"volume\":\"246 \",\"pages\":\"Article 111696\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electric Power Systems Research\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378779625002883\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electric Power Systems Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378779625002883","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Integrated maintenance scheduling for generators and transmission lines considering renewable energy sources and energy storages
An efficient and reliable energy system is imperative to meet the escalating energy demand, address environmental issues, and accommodate technological advancements. This study aims to develop optimal strategies for integrated maintenance scheduling (IMS) in energy systems, considering factors such as generating units, transmission networks, and power flow constraints. The proposed maintenance strategy incorporates a scenario-based model to account for the uncertainty in power generation from renewable sources, validated using a realistic dataset from Taiwan. This dataset includes wind speed records from offshore wind farms and solar radiation records with photovoltaic module specifications. Additionally, energy storage (ES) is integrated to mitigate potential energy deficits during peak load periods or maintenance outages. The primary objective is to minimize total operational and maintenance costs, and energy not supplied (ENS), while adhering to safety and reliability regulations. A mixed nonlinear integer programming model is formulated for the IMS problem. The BARON solver is used to solve small-scale problems, while a genetic algorithm-based matheuristic is developed to solve large-scale problems. The results demonstrate that the proposed algorithm improves solving efficiency while reducing computational time. Additionally, integrating the ES system reduces ENS and positively impacts system costs.
期刊介绍:
Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview.
• Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation.
• Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design.
• Substation work: equipment design, protection and control systems.
• Distribution techniques, equipment development, and smart grids.
• The utilization area from energy efficiency to distributed load levelling techniques.
• Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.