International Transactions on Electrical Energy Systems最新文献

{"title":"A Market-Oriented Trading Method for Integrated Community Energy System Based on Hierarchical Stackelberg Game Method","authors":"Guofeng Wang,&nbsp;Bei Jiang,&nbsp;Shuai Dong,&nbsp;Jiaqi Liu,&nbsp;Youbing Zhang","doi":"10.1155/2024/3713139","DOIUrl":"https://doi.org/10.1155/2024/3713139","url":null,"abstract":"<div>\u0000 <p>In response to escalating environmental concerns and the shortage of traditional energy resources, it is essential to enhance energy management within multienergy markets to facilitate the integration of renewable energy sources with end-users. To this end, our research focuses on the optimization of community-level integrated energy systems (CIESs) equipped with combined cooling, heating, and power (CCHP), utilizing a multiagent system (MAS) and a hierarchical Stackelberg game approach. The research begins with the development of an MAS-based optimization framework for game participants, followed by the establishment of a Stackelberg game model where the multienergy seller acts as the leader and the consumer as the follower. The model is thoroughly validated through the formulation and solution of a mixed-integer linear program (MILP)–based multiobjective optimization, which not only demonstrates effective strategies for optimizing power dispatch but also enhances economic returns and ensures fast game convergence. The results significantly validate the approach of maximizing the utilization of clean energy in energy transactions, clarifying the dynamic relationship between price fluctuations and load in the pricing mechanism. These insights are vital for promoting environmental sustainability and conserving resources, proving essential for future energy management practices.</p>\u0000 </div>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2024 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/3713139","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Finding the Best Station in Canada for Using Residential Scale Solar Heating: A Multicriteria Decision-Making Analysis","authors":"Sajedeh Abdollahiarpanahi,&nbsp;Mehdi Jahangiri,&nbsp;Sepehr Shahgholian,&nbsp;Mahdi Taheri","doi":"10.1155/etep/8843981","DOIUrl":"https://doi.org/10.1155/etep/8843981","url":null,"abstract":"<div>\u0000 <p>Solar energy-based heating systems, which are capable of providing space heating as well as domestic hot water heating, are a promising alternative to conventional systems to achieve the status of reducing fossil energy consumption in residential buildings. Determining how suitable such systems are performing in Canada and which station is the most suitable in terms of energy-economic-environmental parameters are issues that have not been investigated so far. Considering that such results are very important for energy decision-makers and investors, therefore, in the present work, the provision of space heating and hot water heating on a residential scale in 10 Canadian provinces was done by Valentin TSOL v2021 R3 software. Then nine software output parameters along with three parameters of land price, the population of each station, and the natural disaster index were weighted using the AHP method. Finally, the results of the stations were ranked using five MCDM methods including AHP, TOPSIS, WASPAS, CRITIC, and GRA. The results of numerical simulations showed that the CO₂ emissions avoided parameter has the most weight, and the parameters solar contribution to DHW and boiler energy to DHW has the least weight. Also, the final ranking of each station showed that the most suitable station is Regina and the most unsuitable station is Victoria. By examining and analyzing the results, it was found that only based on the outputs of the Valentin TSOL v2021 R3 software, it is not possible to comment on finding appropriate and inappropriate stations, and the necessity of using ranking methods was observed more than before.</p>\u0000 </div>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2024 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/etep/8843981","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multitime Scale Reactive Power and Voltage Optimal Regulation for Transmission Network With Wind Power Cluster Based on Model Predictive Control","authors":"Hong Wang,&nbsp;Chao Yuan,&nbsp;Wen Gu,&nbsp;Chun Yang,&nbsp;Minhao Kong,&nbsp;Jian Yu","doi":"10.1155/2024/7687093","DOIUrl":"https://doi.org/10.1155/2024/7687093","url":null,"abstract":"<div>\u0000 <p>In order to solve the problem of voltage fluctuation caused by the grid integration of wind power cluster, a multitime scale reactive power and voltage optimal regulation method based on model predictive control (MPC) is proposed in this paper. In the day-ahead stage, the reduction of network active power loss is mainly achieved through the regulation of discrete reactive power compensation devices and generator units, focusing on the economic operation of the power system. In the intraday stage, considering the rapid response characteristics of continuous reactive power compensation devices, the optimal regulation aiming to minimize voltage control deviation is carried out under 15- and 5-min time scale based on the MPC algorithm with the adjustment of continuous reactive power compensation devices. In the feedback correction stage, a fast calculation method considering reactive power partitioning is adopted instead of solving the 5-min optimization model for 288 periods, avoiding excessive adjustment of reactive compensation devices. While effectively improving voltage fluctuations caused by wind power prediction deviation, it also alleviated the computational and communication burden on the system. Finally, the effectiveness of the proposed regulation method in this paper is verified with the improved IEEE-39 test case.</p>\u0000 </div>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2024 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/7687093","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distribution System Operator (DSO) Functions in South Korea—Part I: Development, Practical Obstacles, and Future Work","authors":"Jung-Sung Park,&nbsp;Jun-Hyeok Kim,&nbsp;Seung-Gil Noh,&nbsp;Woo-Young Cho,&nbsp;Han-Kyul Kim,&nbsp;Balho H. Kim,&nbsp;Yun-Su Kim","doi":"10.1155/2024/3353622","DOIUrl":"https://doi.org/10.1155/2024/3353622","url":null,"abstract":"<div>\u0000 <p>This paper presents our initial research findings on distribution system operator (DSO) functions in South Korea. The project team includes the Korean Electric Power Corporation, which is the only public utility company in South Korea. The planned development is based on a real distribution network and real-world environments. The project encompasses DSO–transmission system operator coordination and management of real-time distribution network congestion; this paper focuses on the latter aspect. For real-time congestion management, algorithms that handle all steps from database analysis to data export, including data preprocessing, topological configuration, power flow calculation, sensitivity analysis, and derivation of solutions to congestion, are developed. The distribution system equipment database of Korean Electric Power Corporation is used to develop a network congestion management system. When examining the database, many gaps between the theoretical and practical environments were found which are introduced in this paper. A practical distribution network database for South Korea is developed to narrow these gaps and to implement practical congestion management techniques. The remaining problems are introduced as future works.</p>\u0000 </div>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2024 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/3353622","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current-Limiting Strategy for Unbalanced Low-Voltage Ride Through of the SMSI-MG Based on Coordinated Control of the Generator Subunits","authors":"Jinjing Zhang,&nbsp;Xinggui Wang,&nbsp;Sheng Xue","doi":"10.1155/2024/4613473","DOIUrl":"https://doi.org/10.1155/2024/4613473","url":null,"abstract":"<div>\u0000 <p>Unlike the inverters in the traditional alternating-current (AC) microgrid, those in a microgrid with series microsource inverters (SMSI-MG) are connected to the power grid after being cascaded. The authors of this study first divide the control sections according to the degree of grid voltage dips and formulate a coordinated scheme to suppress fluctuations in the output powers of the SMSI-MG. For the section in which the degree of unbalanced grid voltage dips is relatively low, a current-limiting strategy that reduces the output power of the SMSI-MG through the coordinated control of the generator subunits (CCGU) is proposed. More active power can be provided by the SMSI-MG when the proposed strategy is used, than in the strategy that is based on changing the reference power, and the output reactive power of the SMSI-MG can be automatically changed with the degrees of dip and unbalance of the grid voltage. The Light Gradient-Boosting Machine (LightGBM) is used to establish a mapping relationship between the parameters characterizing overcurrent and the reduction quantity in output active power of the SMSI-MG to implement the CCGU-based current-limiting strategy. The complex collaborative control is simplified to improve the low-voltage ride through (LVRT) capability of the SMSI-MG.</p>\u0000 </div>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2024 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/4613473","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Scalable and Coordinated Energy Management for Electric Vehicles Based on Multiagent Reinforcement Learning Method","authors":"Ruien Bian,&nbsp;Xiuchen Jiang,&nbsp;Guoying Zhao,&nbsp;Yadong Liu,&nbsp;Zhou Dai","doi":"10.1155/2024/7765710","DOIUrl":"https://doi.org/10.1155/2024/7765710","url":null,"abstract":"<div>\u0000 <p>The electric vehicle (EV) has been popular in recent years, which also brings huge challenges to the distribution network due to its energy instability. In order to consider the economic factors of dispatching these distributed renewable resources, the voltage variation is also important. A novel model-free method is put forward for collaborative management of EV resources of aggregators in the distribution network. The economic costs and physical network constraints for this energy management issue are considered at the same time. A Multiagent Deep Deterministic Policy Gradient (MADDPG) algorithm is applied to learn the cooperative energy control strategies. A transfer learning technique is used to fine-tune the trained policy when more aggregators join in the network. The proposed method can achieve close results to the traditional optimization methods, while it takes less than one second to take control actions, making it is more suitable for real-time online energy management. Compared to other advanced reinforcement learning (RL) models, numerical simulations conducted on IEEE test cases greatly illustrate the effectiveness and superiority of the proposed method.</p>\u0000 </div>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2024 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/7765710","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technoeconomic Conservation Voltage Reduction–Based Demand Response Approach to Control Distributed Power Networks","authors":"Shahram Pourfarzin,&nbsp;Tahere Daemi,&nbsp;Hamidreza Akbari","doi":"10.1155/2024/9752955","DOIUrl":"https://doi.org/10.1155/2024/9752955","url":null,"abstract":"<div>\u0000 <p>This manuscript investigates the transformative shift in electricity generation and distribution towards distributed power networks, particularly microgrids, amid escalating energy demand and environmental concerns. Emphasizing a pioneering technoeconomic conservation voltage reduction–based demand response approach, the study integrates conservation voltage reduction as a controllable demand response method within distributed power networks, highlighting the developed droop control method for effective regulation. Conservation voltage reduction, a no-cost procedure for minimizing loss, is applied to reduce voltage during peak periods to conserve power, decrease active and reactive power losses through precise load modeling, and enhance consumption efficiency. The most significant challenge of this project is the simultaneous use of conservation voltage reduction with the uncertainties of distributed generation sources, resulting to reduce losses and ultimately lower operating costs, a topic not previously studied in existing literature. The contributions include introducing a novel approach based on droop control to manage resources and presenting a detailed control strategy tailored to distributed power networks for improving voltage stability with minimal costs. Importantly, the proposed method demonstrates superior accuracy, achieving up to an 18% improvement over existing methods. This research contributes to comprehensive solutions for optimizing energy consumption, enhancing grid stability, and adapting to the evolving distributed power systems landscape.</p>\u0000 </div>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2024 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/9752955","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Universal Source DC–DC Boost Converter for PEMFC-Fed EV Systems With Optimization-Based MPPT Controller","authors":"C. H. Hussaian Basha,&nbsp;Shaik Rafikiran,&nbsp;Ezzeddine Touti,&nbsp;Besma Bechir Graba,&nbsp;Mouloud Aoudia","doi":"10.1155/2024/5520331","DOIUrl":"https://doi.org/10.1155/2024/5520331","url":null,"abstract":"<div>\u0000 <p>Conventional energy networks produce energy with less efficiency. Also, these source’s development costs and size are more. So, the world is focusing on renewable energy networks for energy production to the consumer. In this work, a proton exchange membrane fuel stack (PEMFS) technology is selected for energy feeding to the hydrogen vehicle. The merits of this stack are more abundant, faster fuel stack operational response, and more efficient for electrical automotive networks. However, the fuel stack’s energy production is nonlinear and its operational point varies concerning the fuel stack device operating temperature. The particle swarm optimized adaptive network-based fuzzy inference system (PSO-ANFIS) is proposed in this work to find the operational point of the fuel cell network. The features of this hybrid methodology are the low number of iteration values required, low convergence time, low-level dependence on the fuel stack, and high compliance for the quick deviations of the fuel system temperature. The operating efficiency and tracking time of the proposed maximum power point tracking (MPPT) controller are 95.60% and 0.1089 s. Another issue of the fuel cell is high output current generation and less voltage production. This condition is happening in the fuel cell because of its chemical reaction dynamics, internal resistance of the cell, and electrochemical potential. Due to this excess current flow in the fuel cell, the direct fuel stack-fed electrical networks face the issue of high power conduction losses. To reduce the power conduction losses of the system, a single-switch power circuit is used to reduce fuel source current, thereby optimizing the excessive power losses of the system. The whole fuel stack energy production network is analyzed by selecting the MATLAB Window.</p>\u0000 </div>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2024 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/5520331","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142525292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal Scheduling Strategy of Wind–Solar–Thermal-Storage Power Energy Based on CGAN and Dynamic Line–Rated Power","authors":"Sile Hu,&nbsp;Yuan Gao,&nbsp;Wenbin Cai,&nbsp;Jianan Nan,&nbsp;Ye Li,&nbsp;Muhammad Farhan Khan,&nbsp;Yucan Zhao,&nbsp;Jiaqiang Yang","doi":"10.1155/2024/2803268","DOIUrl":"https://doi.org/10.1155/2024/2803268","url":null,"abstract":"<div>\u0000 <p>This paper introduces a new way to plan and manage the use of wind and solar power, along with traditional thermal power (TP) and batteries, to get the most environmental and economic benefits. It uses a special kind of artificial intelligence, called conditional generative adversarial networks (CGAN), to predict how much power wind and solar sources will produce. Subsequently, it takes into account the dynamic line–rated power (DLRP) in order to determine the dynamic transmission capacity of lines associated with wind and solar power generation. The primary objectives are to reduce the operating costs of TP plants, maximize the utilization of wind and solar energy, minimize power deviations in electricity transmission, and enhance revenue from electricity transmission. To solve this complex problem, the paper uses a smart method to simplify the model, making it possible to find solutions with CPLEX. Tests on a small network with six nodes show that this approach not only saves money but also makes better use of clean energy sources.</p>\u0000 </div>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2024 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/2803268","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficient Task Scheduling in Cloud Computing: A Multiobjective Strategy Using Horse Herd–Squirrel Search Algorithm","authors":"V. Parthasaradi,&nbsp;A. Karunamurthy,&nbsp;C. H. Hussaian Basha,&nbsp;S. Senthilkumar","doi":"10.1155/2024/1444493","DOIUrl":"https://doi.org/10.1155/2024/1444493","url":null,"abstract":"<div>\u0000 <p>Cloud computing (CC) is a technology that enables the delivery of IT services outside of the workplace. CC, on the other hand, has had several drawbacks. The task scheduling issue is taken as one of the important difficulties because a solid mapping between available resources and users’ activities is essential to reduce the execution time of users’ jobs (i.e., minimize makespan) and maximize resource utilization. Because the service provider must offer several customers’ benefits at distinct times and from distinct locations, task scheduling is indeed a serious challenge in CC. As a result, in the CC environment, these operations must be scheduled in a more dynamic and timely manner. The objective is to provide an enhanced task scheduling algorithm for allocating the task of the user to different computing resources. The major aim of the research work is to reduce the cost and the execution time as well as to improve the resource utilization of the task scheduling problem using the improved support vector machine (ISVM) and the optimization concept. The novel algorithm used here merges two familiar algorithms as squirrel search algorithm (SSA) and the horse herd optimization algorithm (HOA) leading to a new hybrid metaheuristic algorithm called the horse herd–squirrel search algorithm (HO–SSA). The developed HO–SSA assists in introducing a multiobjective optimization for efficiently handling task scheduling issues in the cloud sector. The proposed HO–SSA method for the task scheduling in CC model in terms of cost is 22.22%, 15.73%, and 38.74% better than SSA, HOA, and TSA, respectively. Similarly, the proposed HO–SSA method for the task scheduling in CC model with respect to energy is 9.68%, 5.35%, and 22.50% superior to SSA, HOA, and TSA, respectively. The proposed method outperformed the existing methods like SSA, HOA, and TSA in terms of cost, energy, degree of imbalance, makespan, speedup, and efficiency.</p>\u0000 </div>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2024 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/1444493","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142439068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}