Energy Conversion and Economics最新文献_第8页

User-side cloud energy storage configuration and operation optimization considering time-of-use pricing and state-of-charge management 考虑分时电价和充电状态管理的用户侧云储能配置和运行优化

Energy Conversion and Economics Pub Date : 2025-04-26 Epub Date: 2025-04-15 DOI: 10.1049/enc2.70005

Yongji Ma, Huifang Wang, Weiyi Yu, Fen Cao, Sisi Cheng, Anyuan Yang

{"title":"User-side cloud energy storage configuration and operation optimization considering time-of-use pricing and state-of-charge management","authors":"Yongji Ma, Huifang Wang, Weiyi Yu, Fen Cao, Sisi Cheng, Anyuan Yang","doi":"10.1049/enc2.70005","DOIUrl":"10.1049/enc2.70005","url":null,"abstract":"Multiple energy storage systems (ESSs) often face imbalances in charging–discharging operations, as well as the uncertainties of practical scenarios and influencing factors. To address these challenges, this study proposes a user-side cloud energy storage (CES) model with active participation of the operator. This CES model incorporates adjustable time-of-use (TOU) electricity pricing and state-of-charge (SOC) management. In the configuration process, the net load scenario generation reduction is performed first. Subsequently, demand response is implemented based on the updated TOU pricing. To address the imbalance of ESSs, an improved multiobjective particle swarm optimization is employed, followed by access verification of the multi-ESS aggregation. In the dispatch process, a two-stage interval optimization model is adopted. Specifically, day-ahead scheduling determines the SOC limit interval, and intra-day scheduling achieves rolling optimization to determine the exact charging–discharging duration. This ensures that the charging–discharging cycles are controllable, orderly, and efficient. Ultimately, a fair settlement method based on optimal pricing of various fees within the “cloud” is proposed, ensuring sustainable revenue growth for all types of users. A case study demonstrates that the proposed methods can achieve multifaceted value in energy management and enhance the socioeconomics of user-side ESS projects.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 2","pages":"65-82"},"PeriodicalIF":0.0,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risk analysis of distribution network outages under a typhoon–rainstorm–flood disaster chain 台风-暴雨-洪水灾害链下配电网中断的风险分析

Energy Conversion and Economics Pub Date : 2025-04-26 Epub Date: 2025-04-21 DOI: 10.1049/enc2.70008

Hui Hou, Wenjie Wu, Ruizeng Wei, Huan He, Lei Wang, Zhengtian Li, Xiangning Lin

{"title":"Risk analysis of distribution network outages under a typhoon–rainstorm–flood disaster chain","authors":"Hui Hou, Wenjie Wu, Ruizeng Wei, Huan He, Lei Wang, Zhengtian Li, Xiangning Lin","doi":"10.1049/enc2.70008","DOIUrl":"10.1049/enc2.70008","url":null,"abstract":"The typhoon–rainstorm–flood disaster chain poses a significant flooding risk to urban distribution network (DN) equipment, often leading to power system outages. The increasing frequency and severity of this disaster chain in East Asia, driven by global warming, population growth, and land-use changes, highlight the need for improved disaster preparedness. Traditional studies focusing on individual meteorological disasters, such as typhoons or floods, may be insufficient for developing efective mitigation strategies. To address this gap, this study proposes a novel risk analysis method for enhancing the disaster defence strategy of DNs. First, a hybrid deep learning model is developed to forecast a 48-h rainstorm time series following a typhoon's landfall. Second, a one-dimensional pipe network and a two-dimensional surface-coupled urban flood model are constructed to predict flood depth based on the typhoon–rainstorm time series. Third, an influence factor set is established from environmental and societal perspectives, and spatial correlation analysis is applied to assess DN outage risk. To validate the proposed method, Typhoon Talim (2023), which made landfall in China, is used as a case study. The results demonstrate that the model effectively captures disaster-causing mechanisms and accurately identifies high-risk areas. This research provides a theoretical foundation for outage risk prevention in developing countries, particularly in mitigating the impacts of the typhoon–rainstorm–flood disaster chain.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 2","pages":"126-139"},"PeriodicalIF":0.0,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal economic and low-carbon scheduling in integrated energy system considering multi-level thermal energy coupling and integrated demand response 考虑多级热能耦合和综合需求响应的综合能源系统最优经济低碳调度

Energy Conversion and Economics Pub Date : 2025-04-26 Epub Date: 2025-04-21 DOI: 10.1049/enc2.70009

Yanjun Jing, Mingming Liang, Haixin Wang, Zihao Yang, Gen Li, Fausto Pedro García Márquez, Junyou Yang, Zhe Chen

{"title":"Optimal economic and low-carbon scheduling in integrated energy system considering multi-level thermal energy coupling and integrated demand response","authors":"Yanjun Jing, Mingming Liang, Haixin Wang, Zihao Yang, Gen Li, Fausto Pedro García Márquez, Junyou Yang, Zhe Chen","doi":"10.1049/enc2.70009","DOIUrl":"10.1049/enc2.70009","url":null,"abstract":"In integrated energy systems (IESs), thermal energies with different characteristics and efficiencies are typically regarded as having the same thermal energy level, which leads to unreasonable assumptions regarding the thermal energy structure of the system. Moreover, the traditional optimal operation method does not consider the impact of expanding a single thermal energy flow into a multi-level thermal energy flow on the optimal operation results of the system. These problems pose challenges to the complexity of multi-level thermal energy flow mechanisms and optimal operation results of the IES. To tackle this challenge, first, this study establishes a multi-level thermal energy coupling (MTEC) model, which divides the thermal energy flow into three levels according to temperature, and re-models the production and conversion equipment based on thermal energy levels. Second, the energy hub matrix for MTEC-IDR joint operation is proposed, and the integrated demand response (IDR) is introduced to replace energy storage devices to solve the problem of rising costs caused by insufficient load flexibility. Finally, the system constraints and objective function are improved, and an optimal IES scheduling strategy under the MTEC-IDR mechanism is proposed. The effectiveness of the proposed strategy is proved from the perspectives of low-carbon implementation and economy.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 2","pages":"83-100"},"PeriodicalIF":0.0,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stochastic carbon footprint tracing for power systems with uncertainty 具有不确定性的电力系统随机碳足迹跟踪

Energy Conversion and Economics Pub Date : 2025-04-26 Epub Date: 2025-04-16 DOI: 10.1049/enc2.70007

Jiashuo Hu, Mengge Shi, Xiao-ping Zhang, Youwei Jia

{"title":"Stochastic carbon footprint tracing for power systems with uncertainty","authors":"Jiashuo Hu, Mengge Shi, Xiao-ping Zhang, Youwei Jia","doi":"10.1049/enc2.70007","DOIUrl":"10.1049/enc2.70007","url":null,"abstract":"The increasing penetration of distributed energy resources (DERs) and renewable energy sources (RESs) requires more granular analysis for accurate carbon footprint tracing. Traditional tracing methodologies primarily utilized deterministic steady-state analyses, which inadequately addressed the significant uncertainties inherent in RESs. To address this gap, this study introduces two stochastic carbon footprint-tracing approaches that incorporate RES uncertainties into load-side carbon footprint assessments. The first method embeds a probabilistic analysis within the carbon emissions flow (CEF) framework, providing a comprehensive reference for the spatial distribution of carbon intensity across power system components. Recognizing that the CEF network complexity increases with higher DER penetration, the second method extends the initial approach to enhance computational efficiency while maintaining accuracy, thus ensuring scalability for large-scale power system topologies. The proposed models were validated and benchmarked using a synthetic 1004-bus test system in a case study, demonstrating their enhanced performance and advancements over conventional deterministic methods. The results underscore the effectiveness of the stochastic approaches in delivering more precise and reliable carbon footprint tracing, thereby contributing to the sustainable management of decarbonized power systems.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 2","pages":"101-110"},"PeriodicalIF":0.0,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-phase microgrid resiliency assessment framework against extreme weather events 多阶段微电网应对极端天气的弹性评估框架

Energy Conversion and Economics Pub Date : 2025-04-26 Epub Date: 2025-04-20 DOI: 10.1049/enc2.70006

Avishek Sapkota, Rajesh Karki

{"title":"Multi-phase microgrid resiliency assessment framework against extreme weather events","authors":"Avishek Sapkota, Rajesh Karki","doi":"10.1049/enc2.70006","DOIUrl":"10.1049/enc2.70006","url":null,"abstract":"The impact of climate change is leading to a phenomenal increase in the frequency and intensity of high-impact, low-probability (HILP) weather events, which cause widespread power outages. Consequently, there is a pressing need to develop resilient power distribution systems against such extreme events. Presently, the methods and metrics to assess grid resilience against HILP events are at an early stage of development and need further work to make them widely implementable in grid resilience investment planning. To address this issue, this study proposes a Monte Carlo-based framework to evaluate the resilience of distribution systems in the presence of distributed energy resources under two distinct phases: (1) during the event as the system succumbs to the extreme forces, and (2) in its aftermath as the restoration proceeds. This allows power system utilities to analyse the effectiveness of various resilience enhancement strategies for different phases of extreme weather events. The framework also establishes a mathematical relationship to determine the post-event restoration time based on the hierarchical sequence of component repairs, which depends on the inter-dependence of component failures and repair crew availability. The framework's effectiveness is demonstrated through case studies on the modified IEEE 69-bus system.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 2","pages":"111-125"},"PeriodicalIF":0.0,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Energy Conversion and Economics Pub Date : 2025-04-21

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Energy Conversion and Economics Pub Date : 2025-04-21

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Energy Conversion and Economics Pub Date : 2025-04-20

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Energy Conversion and Economics Pub Date : 2025-04-16

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Energy Conversion and Economics Pub Date : 2025-04-15

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