Energy Conversion and Economics最新文献

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 5","pages":"324-340"},"PeriodicalIF":0.0,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148083665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal control of single-phase microgrid with photovoltaic and energy storage for improving operation performance and seamless state transition","authors":"Shiv Shambhu Choudhary,&nbsp;Tripurari Nath Gupta","doi":"10.1049/enc2.70024","DOIUrl":"https://doi.org/10.1049/enc2.70024","url":null,"abstract":"<p>Under voltage sags, swells, stochastic load profiles and harmonic voltage distortion, conventional synchronisation mechanisms often fail to track the grid voltage immediately and accurately, leading to degraded control performance and potential power quality violations. Maintaining high power factor operation becomes critically important in polluted grid scenarios. To ensure stability under these challenging conditions, this paper focuses on maintaining balanced and accurate unit templates with a minimal phase delay and stable DC link voltage in the presence of unpredictable grid scenarios. The synchronising transfer switch provides smooth transitions between the grid-connected and islanded modes of operation, enhancing both power quality and system reliability. The optimisation of distributed energy resources to improve grid resilience, stability and overall efficiency of renewable energy integration is presented in this work. The key element of this integration is a multi-functional voltage source converter with a unique control strategy, enabling precise control over the charging and discharging processes of the battery. The system exhibits versatile capabilities, including harmonic mitigation, reactive power compensation, and seamless supply of active power to the grid. Performance assessments highlight the controller's ability to improve microgrid stability and smooth operational transition capabilities.</p>","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 5","pages":"324-340"},"PeriodicalIF":0.0,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145398941","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}

{"title":"Deposit and withdraw: Reinforcement learning-based incentive design for shared energy storage","authors":"Xin Lu,&nbsp;Junhua Zhao,&nbsp;Jing Qiu,&nbsp;Cuo Zhang,&nbsp;Gang Lei,&nbsp;Jianguo Zhu","doi":"10.1049/enc2.70023","DOIUrl":"https://doi.org/10.1049/enc2.70023","url":null,"abstract":"<p>Many residential prosumers exhibit a high price tolerance for household electricity bills and a low response to price incentives. This is because household electricity bills are not inherently high, and the potential for saving electricity bills through participation in conventional shared energy storage (SES) is limited, which diminishes their motivation to actively engage in SES. Additionally, existing SES models often require prosumers to take additional actions, such as optimising rental capacity and bidding prices, which happen to be capabilities that typical household prosumers do not possess. To incentivise these high-price-tolerance residential prosumers to participate in SES, a novel SES aggregation framework is proposed, which does not require prosumers to take additional actions and allows them to maintain existing energy storage patterns. Compared to the conventional long-term operation of SES, the proposed framework introduces an additional short-term construction step during which the energy service provider (ESP) acquires control of the energy storage systems (ESS) and offers electricity deposit and withdrawal services (DWS) with dynamic coefficients, enabling prosumers to withdraw more electricity than they deposit without additional actions. Additionally, a matching mechanism is proposed to align prosumers’ electricity consumption behaviours with ESP optimisation strategies. Finally, the dynamic coefficients in the DWS and SES trading strategies are jointly optimised using a modified deep reinforcement learning algorithm. Combining neighbouring experience pool replay modifies the twin delay deep deterministic policy gradient (CNEPR-TD3), which introduces a multilabel neighbouring experience replay mechanism to improve learning efficiency and convergence stability. Simulation studies based on one-year real-world data validated the proposed approach. Ablation experiments showed that the inclusion of dynamic DWS and the matching mechanism increased the overall SES profit by 42.87%, confirming the effectiveness and economic value of the proposed framework.</p>","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 5","pages":"308-323"},"PeriodicalIF":0.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145399035","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}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 5","pages":"308-323"},"PeriodicalIF":0.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148072611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cost-optimal coordinated generation and transmission expansion planning in the context of overcapacity in power systems","authors":"Vedaste Ndayishimiye,&nbsp;Geofrey Bakkabulindi,&nbsp;Emmanuel Wokulira Miyingo","doi":"10.1049/enc2.70022","DOIUrl":"https://doi.org/10.1049/enc2.70022","url":null,"abstract":"<p>Some sub-Saharan African countries face the paradox of overcapacity in the power sector, where investments in electricity generation far exceed both demand and grid capacity, despite millions still lacking access to electricity. This imbalance stems from inadequate planning and external pressures from donors and private investors, who often prioritize generation over expanding transmission infrastructure. As a result, some power plants remain underutilized, placing financial burdens on governments and raising electricity costs for consumers. This study assessed overcapacity in Rwanda's power system using two key indicators: the plant utilization factor and reserve margin. We propose a coordinated generation and transmission expansion planning model to better align generation capacity with demand and grid development. The problem was analysed using PLEXOS software. Overcapacity in Rwanda rose from 29% in 2017 to 35% in 2023, as generation additions outpaced demand. However, with electricity consumption projected to grow by 10% annually, overcapacity could decline to 21% by 2028, based on committed and ongoing generation projects. Model results show that delaying selected generation projects and strengthening the transmission network could reduce overcapacity by 79% within 5 years and lower operating costs by 11.7% compared to the current master plan. These findings underscore the importance of integrated planning to improve system utilization and efficiency, offering a practical framework for other African countries facing similar challenges.</p>","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 5","pages":"269-280"},"PeriodicalIF":0.0,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145399038","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}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 5","pages":"269-280"},"PeriodicalIF":0.0,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148072216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 5","pages":"295-307"},"PeriodicalIF":0.0,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148097213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of capacity market mechanism on high renewable penetration systems with long-term energy storage","authors":"Ying Yang,&nbsp;Yuting Mou,&nbsp;Jun Li,&nbsp;Beibei Wang,&nbsp;Changling Li,&nbsp;Xiaolei Yang","doi":"10.1049/enc2.70020","DOIUrl":"https://doi.org/10.1049/enc2.70020","url":null,"abstract":"<p>Capacity markets (CMs) have been widely analysed and implemented in various regions to enhance the capacity adequacy and supply security in power systems with high renewable penetration. This study compares the performance of two market designs, an energy market combined with a CM and an energy-only market, using a capacity expansion model that incorporates long-term energy storage (ES). This study contributes significantly to the debate on CM by quantifying the improvement in the system reliability. Through simulations conducted on provincial power systems in China, we demonstrate that introducing a CM significantly enhances the system reliability by providing a stable revenue stream that incentivises capacity investments. Additionally, the effectiveness of implementing a CM is analysed through simulations under various market conditions, thereby presenting various advantages. Furthermore, the results of this study indicate that the reliable availability of conventional technologies is essential for future power systems with high renewable energy penetration. The supply security cannot be ensured with an excessive penetration level of renewable energy sources, despite long-term ES. These findings present critical insights into the design of hybrid electricity markets for transitioning power systems.</p>","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 5","pages":"295-307"},"PeriodicalIF":0.0,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145399064","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}

{"title":"Application of deep learning image recognition for lithium battery State of Health assessment","authors":"Yanli Liu,&nbsp;Yu Su,&nbsp;Shaofan Zhang,&nbsp;Vladimir Terzija,&nbsp;Ze Cheng","doi":"10.1049/enc2.70016","DOIUrl":"10.1049/enc2.70016","url":null,"abstract":"<p>Accurately estimating the State of Health (SOH) of lithium-ion batteries is essential for ensuring their reliable operation. The constant-current charging voltage curves of batteries at different aging levels show significant deviations. Traditional methods based on one-dimensional time-series data face limitations in capturing and characterizing these complex patterns. To address this issue, this paper leverages the one-dimensional (1D) time series data of the lithium battery constant-current charging voltage segment, selected using incremental capacity analysis. This data is then transformed into a two-dimensional representation using the Gramian angular summation field algorithm. Utilizing the exceptional image-recognition capabilities of ResNet, this approach achieves high-accuracy SOH estimation. Validation using publicly available datasets from the University of Oxford and the University of Maryland demonstrates a significant improvement in battery SOH estimation accuracy compared to traditional techniques, which directly input voltage segments into the network.</p>","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 4","pages":"246-255"},"PeriodicalIF":0.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905462","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}

{"title":"Structural optimisation design of liquid cooling system for lithium-ion battery based on improved Kriging method","authors":"Jinjun Bai,&nbsp;Lidong Dong,&nbsp;Chengbo Sun,&nbsp;Shaoran Gao","doi":"10.1049/enc2.70017","DOIUrl":"10.1049/enc2.70017","url":null,"abstract":"<p>The battery thermal management system effectively limits the temperature of each lithium-ion battery (LIB) to below 45°C and minimises the temperature difference between different LIBs to extend their service life. Given the volume constraints, the finite element method (FEM) was used to perform the structural optimisation calculation of battery thermal management systems (BTMS). However, owing to their high calculation costs, optimisation methods based on surrogate models are preferred. The k-means clustering strategy of the stochastic reduced-order model (SROM) method, as implemented within the domain of uncertainty analysis, was shown in this study to enhance the initial observation point sampling strategy of the Kriging optimisation method. The use of an active sampling strategy has been demonstrated to enhance the representativeness of observation points with respect to the overall grid points, which in turn accelerates the convergence rate of the Kriging optimisation method. In the multiphysics simulation example of an LIB liquid cooling system modelled in COMSOL software, the relative error of the improved Kriging method is reduced from 0.24% to 0.11% compared with the traditional Kriging method, and the calculation efficiency is increased by 86.7%. This provided a quantitative verification of the effectiveness of the proposed method.</p>","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 4","pages":"237-245"},"PeriodicalIF":0.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905333","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}