Energy Conversion and Economics最新文献

Performance analysis of DC microgrids with output resistance shaping in presence of constant power loads 恒功率负载下具有输出电阻整形的直流微电网性能分析

Energy Conversion and Economics Pub Date : 2025-06-12 DOI: 10.1049/enc2.70013

Jitendra Prajapati, A. S. Vijay, Amod C. Umarikar

{"title":"Performance analysis of DC microgrids with output resistance shaping in presence of constant power loads","authors":"Jitendra Prajapati, A. S. Vijay, Amod C. Umarikar","doi":"10.1049/enc2.70013","DOIUrl":"https://doi.org/10.1049/enc2.70013","url":null,"abstract":"Constant power loads (CPLs) introduce negative impedance in direct current microgrids (DCMGs), which is a major challenge. This negative impedance can significantly reduce the overall damping of the system, making it less stable and harder to control. To address this issue, output virtual resistance (VR) shaping is commonly employed to enhance system damping and improve power-sharing amongst distributed generators (DGs). The technique proposed in this work involves an adaptive variation of the DG virtual output resistance (<math>\u0000 <semantics>\u0000 <msub>\u0000 <mi>R</mi>\u0000 <mi>V</mi>\u0000 </msub>\u0000 <annotation>$R_{V}$</annotation>\u0000 </semantics></math>) linearly with the output current. This shows improved power sharing between sources. The work compares the small signal stability criteria and the minor loop gain methods for linear, non-linear, and inverse droop controllers to determine the controller parameters with constant power loads. The control scheme is extensively tested through simulations for four different droop control schemes. The work also validates the DCMG performance when the DERs work with different droop controllers (heterogenous of controllers) to assess constant power load penetration, performance in meshed configurations, and DG plug-and-play operations. Additionally, improved power sharing performance was validated through a controller hardware in the loop (CHIL) based implementation.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 3","pages":"196-212"},"PeriodicalIF":0.0,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492576","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

Affinely adjustable robust optimal scheduling of a power system considering the flexibility of supply and demand 考虑供需灵活性的电力系统仿射可调鲁棒最优调度

Energy Conversion and Economics Pub Date : 2025-06-12 DOI: 10.1049/enc2.70011

Yumin Zhang, Yongchen Zhang, Xizhen Xue, Xingquan Ji, Yunqi Wang, Pingfeng Ye

{"title":"Affinely adjustable robust optimal scheduling of a power system considering the flexibility of supply and demand","authors":"Yumin Zhang, Yongchen Zhang, Xizhen Xue, Xingquan Ji, Yunqi Wang, Pingfeng Ye","doi":"10.1049/enc2.70011","DOIUrl":"https://doi.org/10.1049/enc2.70011","url":null,"abstract":"As the integration of renewable energy sources, such as wind power and photovoltaics, continues, the issue of system uncertainty has become more pronounced. This paper proposes a stochastic power system dispatch method based on affinely adjustable robust optimization (AARO) with a generalized linear polyhedron (GLP) uncertainty set that can accurately quantify the flexibility of the power system supply and demand as well as enhance the optimality of dispatch strategies. First, a GLP uncertainty set was established to characterize both the temporal stochasticity and spatial correlation of multiple renewable energy outputs. A correlation envelope was employed to reflect renewable energy outputs from historical data, and a polyhedral set was proposed to accurately describe the uncertainty for model formulation, which can effectively reduce model conservatism by minimizing empty regions. Furthermore, the range of net load variations was analysed to build a demand flexibility quantification model for the power system. Next, based on the expected operational value, a robust optimization dispatch model that considers the flexible supply and demand balance is developed within the affine strategy framework. Finally, simulations of a modified 6-bus system and modified IEEE 57-bus system validate the effectiveness of the proposed GLP-AARO method for power system flexibility quantification and dispatch strategy optimization.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 3","pages":"170-186"},"PeriodicalIF":0.0,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492575","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

Allocation of ancillary service costs to diverse consumers in China: A comprehensive survey and mechanism design 中国不同消费者的辅助服务成本分配：综合调查与机制设计

Energy Conversion and Economics Pub Date : 2025-06-11 DOI: 10.1049/enc2.70014

Nan Shang, Chao Guo, Zheng Chen, Zhilin Lu

{"title":"Allocation of ancillary service costs to diverse consumers in China: A comprehensive survey and mechanism design","authors":"Nan Shang, Chao Guo, Zheng Chen, Zhilin Lu","doi":"10.1049/enc2.70014","DOIUrl":"https://doi.org/10.1049/enc2.70014","url":null,"abstract":"Ancillary services are crucial for supporting the reliable operation of power systems and constitute an integral part of the power market. The increasing integration of volatile renewable energy sources has introduced new challenges into China's traditional ancillary service markets, such as escalating ancillary service costs. Historically, the ancillary service cost-sharing approach in China has been a redistribution of revenue among generators, resulting in increasing cost-sharing pressure on the supply side. Therefore, based on the basic market logic of ‘who causes the demand, who pays,’ sharing the ancillary service costs with power consumers becomes urgent. This paper presents an overview of the latest research and practical experiences in China and other countries, and proposes an ancillary service cost allocation mechanism considering the participation of consumers. First, the ancillary service cost allocation mechanisms in China and other countries are summarized, including common rules and individual characteristics. Subsequently, a framework for the rights and responsibilities associated with ancillary services is systematically outlined from a market design perspective. Moreover, an ancillary service cost allocation mechanism was introduced based on the principle of ‘common but differentiated responsibilities (CBDR).’ Finally, the construction path of the ancillary service cost allocation mechanism under the new round of power industry reforms was proposed. The findings summarized in this study can promote the reasonable allocation of ancillary service costs and improve the flexibility of power systems and the consumption of renewable energy.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 3","pages":"141-154"},"PeriodicalIF":0.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70014","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492772","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

Federated duelling deep Q-network based collaborative energy scheduling for a power distribution network 基于联合决斗深度q网络的配电网协同能源调度

Energy Conversion and Economics Pub Date : 2025-06-08 DOI: 10.1049/enc2.70012

Yanhong Yang, Wei Pei, Tianyi Xu, Dawei Wang, Abdelbari Redouane

引用次数: 0

Adjustable robust optimization with decision-dependent uncertainty for power system problems: A review 具有决策依赖不确定性的电力系统问题可调鲁棒优化：综述

Energy Conversion and Economics Pub Date : 2025-05-20 DOI: 10.1049/enc2.70010

Tao Tan, Meng Yang, Rui Xie, Yuji Cao, Yue Chen

{"title":"Adjustable robust optimization with decision-dependent uncertainty for power system problems: A review","authors":"Tao Tan, Meng Yang, Rui Xie, Yuji Cao, Yue Chen","doi":"10.1049/enc2.70010","DOIUrl":"https://doi.org/10.1049/enc2.70010","url":null,"abstract":"The increasing uncertainty caused by volatile renewable generation and random electricity demand has always been a critical challenge in power system operations. Robust optimization (RO) is a powerful tool for effectively addressing this uncertainty. As the interplay between uncertain factors and decision-making becomes more prevalent, RO with decision-dependent uncertainty (DDU) has attracted increasing attention. DDU significantly changes how the uncertainty set in RO is modelled and how the problems are solved. This study provides a comprehensive overview of the recent developments in RO with DDU for power system problems. We begin by introducing various models of DDU, classified according to their underlying causes. Next, we summarize the state-of-the-art solution algorithms for RO with DDU, such as variants of the column-and-constraint generation (C&CG) algorithm, variants of Benders decomposition, and multiparametric programming. Furthermore, we explore the application of RO with DDU in power systems. Based on our findings, we propose several research directions that may be valuable for future studies.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 3","pages":"155-169"},"PeriodicalIF":0.0,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144493013","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 : 2025-04-21 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":"https://doi.org/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":"2025-04-21","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 : 2025-04-21 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":"https://doi.org/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":"2025-04-21","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

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 : 2025-04-20 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":"https://doi.org/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":"2025-04-20","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}

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 : 2025-04-16 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":"https://doi.org/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":"2025-04-16","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

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 : 2025-04-15 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":"https://doi.org/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":"2025-04-15","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