International Journal of Electrical Power & Energy Systems最新文献

{"title":"Grid structure optimization using slow coherency theory and holomorphic embedding method","authors":"Fei Tang ,&nbsp;Mo Chen ,&nbsp;Yuhan Guo ,&nbsp;Jinzhou Sun ,&nbsp;Xiaoqing Wei ,&nbsp;Jiaquan Yang ,&nbsp;Xuehao He","doi":"10.1016/j.ijepes.2024.110367","DOIUrl":"10.1016/j.ijepes.2024.110367","url":null,"abstract":"<div><div>This paper addresses the issue of complex fault oscillation modes and weak voltage points in large power systems by proposing a network structure optimization method that balances system synchrony and node voltage stability. The method uses slow synchrony clustering theory to establish node classification criteria and a comprehensive synchrony indicator for quantitative description of network synchrony performance. Simultaneously, it employs the holomorphic embedding method to solve the voltage sigma indicator for quantitative assessment of voltage stability. A model that considers both system synchrony and node voltage stability is then developed and optimized using a discrete particle swarm algorithm in simulations with 13-node, 118-node, and 2383-wp systems, compared to other classical algorithms. Simulation results show that the proposed optimization method effectively improves the synchrony clustering performance and voltage stability of the test systems, offering faster optimization speed and better results compared to other classical algorithms.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"164 ","pages":"Article 110367"},"PeriodicalIF":5.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Two-stage multi-objective optimal dispatch of hybrid power generation system for ramp stress mitigation","authors":"Kunpeng Zhang ,&nbsp;Tianhao Liu ,&nbsp;Yutian Liu ,&nbsp;Huan Ma ,&nbsp;Linlin Ma","doi":"10.1016/j.ijepes.2024.110328","DOIUrl":"10.1016/j.ijepes.2024.110328","url":null,"abstract":"<div><div>As the penetration of renewable energy continues to rise, the occurrence of ramp events in renewable generation poses significant challenges to power system security and efficient renewable energy utilization. To optimize the power allocation of hybrid energy storage systems (HESS) and enhance adjustable reserves to mitigate ramp events, a day-ahead and intraday two-stage multi-objective optimal dispatch strategy is proposed for hybrid power generation systems containing wind, photovoltaic, battery and hydrogen energy storage system (ESS). First, a novel optimization objective is presented to regulate the response priorities of different ESS by minimizing the energy loss, and balance the conservatism by a penalty factor. Then, a two-stage optimal dispatch model is proposed including two sub-models. The day-ahead multi-objective dispatch model considers generation plan, available storage capacity and energy loss, which identifies time slots when adjustable reserves is insufficient; the intraday dispatch model dynamically adjusts penalty factor for each time slot based on the day-ahead results to enhance adjustable reserves in advance. This combination of day-ahead and intraday dispatch models improves the farsightedness and computational efficiency. Finally, a non-isometric scaling method is presented to improve the distribution of Pareto optimal solutions for the non-dominated sorting genetic algorithm III (NSGA-III). Simulation results based on the actual data from Belgium and China demonstrate that the proposed method effectively mitigates the ramp stress and improves renewable energy utilization, with high computational efficiency and robustness to parameters.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"163 ","pages":"Article 110328"},"PeriodicalIF":5.0,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Reduced-order model-based reachability analysis of hybrid wind-solar microgrids considering primary energy uncertainty","authors":"Zhuoli Zhao,&nbsp;Jianzhao Lu,&nbsp;Jingmin Fan,&nbsp;Chang Liu,&nbsp;Changsong Peng,&nbsp;Loi Lei Lai","doi":"10.1016/j.ijepes.2024.110331","DOIUrl":"10.1016/j.ijepes.2024.110331","url":null,"abstract":"<div><div>With the increasing penetration of wind and solar energy as primary energy sources, their impact on the power generation system cannot be ignored due to the high uncertainty of their changes. Traditional time-domain simulation methods are insufficient to capture the system’s dynamic behavior under nearly infinite scenarios. This paper proposes the reduced-order model-based reachability analysis to obtain the dynamic trajectories of critical state variables after introducing primary energy disturbances into the proposed hybrid wind-solar microgrids. The small-signal model of the hybrid wind-solar microgrid is established and its order is reduced based on the singular perturbation theory. Moreover, the zonotope-based primary energy disturbance model is developed, which expresses the primary energy disturbances in the form of a set and enables the primary energy disturbances to participate in reachability analysis, thereby reducing the need for multiple simulations and improving computational efficiency. By comparing the full-order and reduced-order models' dynamic responses, it is evident that the maximum error between them during the dynamic process is only 1.7%, validating the accuracy of the reduced-order model. From the simulation results, it can be observed that the proposed reduced-order model-based reachability analysis can effectively improve the calculation speed while achieving almost the same results as the full-order model. Furthermore, utilizing the proposed method for computing reachable sets with small time steps has reduced the computation time by up to almost 5 times, confirming the efficiency and feasibility of the proposed method.</div><div>© 2017 Elsevier Inc. All rights reserved.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"163 ","pages":"Article 110331"},"PeriodicalIF":5.0,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Non-unit wavelet transform-based protection principle for modular multi-level converter-based HVDC grids using adaptive threshold setting","authors":"Farzad Dehghan Marvasti ,&nbsp;Ahmad Mirzaei ,&nbsp;Reza Bakhshi-Jafarabadi ,&nbsp;Marjan Popov","doi":"10.1016/j.ijepes.2024.110352","DOIUrl":"10.1016/j.ijepes.2024.110352","url":null,"abstract":"<div><div>Wavelet transform has proven to be a capable tool for protection purposes in high voltage direct current (HVDC) transmission lines due to its desired speed and accuracy. However, the need to enhance the WT-based protection methods in terms of sensitivity and selectivity is of interest. This paper proposes a new non-unit WT-based protection method with adaptive threshold setting. According to the improved time-domain analytical approach, line-mode fault-generated voltage traveling wave is adopted to identify the internal faults. The simulation results for a multi-terminal modular multilevel converter-based HVDC grid in PSCAD/EMTDC corroborate accurate and fast internal faults detection of the proposed method, up to 850 Ω, i.e., almost three times larger than conventional schemes. In addition, the reliable performance of the presented method in a noisy environment, using relatively low sampling frequencies, and different sizes of current limiting inductors is demonstrated in the presented analysis. The generality of the presented analytical approach ensures that the proposed protection method can be extended to more complex HVDC grids.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"163 ","pages":"Article 110352"},"PeriodicalIF":5.0,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 fast, simple and local protection scheme for fault detection and classification during power swings based on differential current component","authors":"Houman Moloudi Zargari,&nbsp;Vahid Talavat,&nbsp;Tohid Ghanizadeh Bolandi","doi":"10.1016/j.ijepes.2024.110369","DOIUrl":"10.1016/j.ijepes.2024.110369","url":null,"abstract":"<div><div>Among the various challenges of transmission line distance protection, it has become increasingly difficult to deal with the symmetrical phenomenon of power swing (PS) and it can lead to maloperation of distance relays and power system blackout. Distance relays have challenges in distinguishing the symmetrical fault during power swing and would send a wrong trip command to the circuit breakers, leading to major blackouts. To solve this issue, the main objective of this study is to provide a fast, simple, and local protection scheme based on differential current component (DCC), which is extracted by the difference in predicted and actual samples of local current component. Autoregression technique is used to predict the future cycle current samples using available samples. Based on the DCC, a novel index named differential current component ratio (DCCR) is introduced to effectively detect the internal symmetrical faults from fast/slow power swing conditions. Several tests are run for different fault types, different power swing frequencies, different fault locations, different fault resistances and different fault inception instants. Finally, the results are compared with the available methods. Results demonstrate the high accuracy of the proposed method in fast and accurate detection of internal symmetrical faults during power swing in different frequency rates in less than one cycle.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"163 ","pages":"Article 110369"},"PeriodicalIF":5.0,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Topology switching-based moving target defense against false data injection attacks on a power system","authors":"Qi Wang,&nbsp;Shutan Wu,&nbsp;Zhong Wu,&nbsp;Jianxiong Hu,&nbsp;Quanpeng He,&nbsp;Yujian Ye,&nbsp;Yi Tang","doi":"10.1016/j.ijepes.2024.110350","DOIUrl":"10.1016/j.ijepes.2024.110350","url":null,"abstract":"<div><div>False data injection attacks (FDIAs), as strategically designed cyberattacks, can bypass bad data detection mechanisms and thus pose potential economic and stability risks to power systems. In addition to increasing the detection capability of the system, the proactive property transformation of the system can effectively utilize the information gap between the attacker and the system operator, increasing the detection rate against FDIAs. In this paper, a moving target defense (MTD) method based on topology switching (TS) actions is proposed to overcome FDIAs. Specifically, we investigated the feasibility of proactive defense via TS actions, which reconfigured the topology via busbar switching. To make sequential defense decisions on the basis of the perceived current state of the system, the game between the attacker and the defender was modeled as a Markov decision process (MDP). Finally, the deep reinforcement learning-based MTD optimal algorithm was designed to achieve a fast and efficient decision-making strategy. The simulation results demonstrated the effects of the proposed method against FDIAs.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"163 ","pages":"Article 110350"},"PeriodicalIF":5.0,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 forward/backward robust state estimation algorithm for radial and simple loop distribution systems","authors":"Wei Yan ,&nbsp;Guanneng Xu ,&nbsp;Xu Zhang ,&nbsp;Ruifeng Zhao","doi":"10.1016/j.ijepes.2024.110366","DOIUrl":"10.1016/j.ijepes.2024.110366","url":null,"abstract":"<div><div>The data integration of high voltage (HV) and medium voltage (MV) distribution power grids is a development trend in future energy management systems. This integration brings about challenges such as handling large-scale networks and bad data, which can impact the speed and accuracy of state estimation. To address these issues, a forward/backward sweep (FBS) robust state estimation algorithm (FB-SE) is proposed, particularly suitable for simple loop and radial distribution systems. The algorithm consists of two stages: 1) Bad Data Pre-processing (BDP); and 2) Branch Power Flow State Estimation; Both stages follow the FBS strategy. The preprocessing of bad data only involves one FBS calculation, aiming to identify and rectify obvious bad data; The branch power flow state estimation introduces the weights of state estimation and uses a classification normalized residual index function to achieve weight allocation. The state estimation algorithm proposed in this paper avoids solving Jacobian matrices and linear equations. It can also handle simple ring networks by opening the loop and performing power compensation. The simulation results based on IEEE examples show that this algorithm has advantages in computation speed, robustness, and convergence.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"163 ","pages":"Article 110366"},"PeriodicalIF":5.0,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Intelligent protective relaying for the series compensated line with high penetration of wind energy sources","authors":"Subodh Kumar Mohanty ,&nbsp;Paresh Kumar Nayak ,&nbsp;Pierluigi Siano ,&nbsp;Aleena Swetapadma","doi":"10.1016/j.ijepes.2024.110362","DOIUrl":"10.1016/j.ijepes.2024.110362","url":null,"abstract":"<div><div>The bulk amount of power generated from the present-day large-scale DFIG-installed wind farms are preferably transmitted to utility grid through series compensated transmission lines. Currently, TCSC compensation is more attractive compared to fixed series compensation due to its numerous technical advantages. However, the nonlinear relationship of the output power verses wind speed and the different operating modes of the DFIG and TCSC cause rapid variation in the line impedance during both normal as well as fault conditions. Consequently, the widely used fixed impedance-based distance relays when used for protection of such lines find limitation. In this paper, a fast discrete S-transform feature-assisted back propagation neural network technique is proposed using the relay end current measurements for effective detection and classification of faults in such crucial transmission lines. The efficacy of the scheme is evaluated on numerous fault and non-fault cases simulated through MATLAB/Simulink on different standard test systems under varying system operating conditions. The results clearly show the superiority of the proposed method in comparision to the existing approaches in terms of its low computational burden, fast fault detection time (&lt; 10 ms) and accuracies (= 100 %) and fast fault classification time (&lt; 10 ms) and accuracies (99.99 %).</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"163 ","pages":"Article 110362"},"PeriodicalIF":5.0,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Technical assessment of solar energy storage investments with recommender system-enhanced quantum picture fuzzy rough sets","authors":"Gang Kou ,&nbsp;Hasan Dinçer ,&nbsp;Serhat Yüksel ,&nbsp;Serkan Eti ,&nbsp;Merve Acar","doi":"10.1016/j.ijepes.2024.110361","DOIUrl":"10.1016/j.ijepes.2024.110361","url":null,"abstract":"<div><div>The performance of solar energy storage projects should be improved by taking appropriate actions. However, there are very different criteria that affect the performance of these investments. Therefore, businesses need to focus on more important criteria to use the budget effectively and efficiently. This situation increases the need for a priority analysis for performance indicators of solar energy storage investments. Accordingly, the purpose of this study is to make evaluation for the technical assessment of solar energy storage investments. In this scope, a new four-stage model is introduced by considering different decision-making techniques and fuzzy sets. The first stage is related to the prioritizing the experts with artificial intelligence (AI)-based decision-making method. Secondly, the missing evaluations of solar energy storage investments are estimated with expert recommender system. In the following part, the criteria for the technical assessment of solar energy storage investments are weighted by quantum picture fuzzy rough sets (QPFRS) adopted M−SWARA. The final stage consists of ranking the solar energy storage alternatives with QPFR-VIKOR. The main contribution of this study is the generation of the decision matrix by the help of AI. This situation gives an opportunity to calculate the significance weights of the experts. Therefore, the analysis results can be more reliable and coherent. It is concluded that battery capacity is the most critical factor for the technical assessment of solar energy storage investments. On the other hand, pumped hydro for mechanic energy is found as the most significant solar energy storage alternative. Governments should provide the necessary incentives for the development of high-capacity battery technologies. In this context, tax reductions can be provided to companies that invest in production technologies. This contributes to the cost efficiency of businesses.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"163 ","pages":"Article 110361"},"PeriodicalIF":5.0,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Interruption characteristic of self-triggering low voltage hybrid DC circuit breaker with non-polarized bidirectional breaking","authors":"Jianning Yin,&nbsp;Xiaojian Lang,&nbsp;Yongyong Zhao,&nbsp;Jiandong Duan","doi":"10.1016/j.ijepes.2024.110348","DOIUrl":"10.1016/j.ijepes.2024.110348","url":null,"abstract":"<div><div>The global new photovoltaic installed capacity reached 345.5GW in 2023. As the installed capacity of photovoltaic power generation systems increases worldwide, there is a growing demand for circuit breakers to withstand higher voltages on the DC side of these systems. A self-triggering hybrid circuit breaker with non-polarized bidirectional breaking is proposed. The distinguishing feature of this structure is conduction of the IGBT is determined by arc voltage. In addition, the non-polarized bidirectional arc-breaking is realized by the new transfer branch structure. To closely replicate the actual interruption process, a semi-physical simulation is used to validate the breaking performance. The breaking of 15kA fault current under DC1500V can be realized. Compared with the mechanical circuit breaker for PV system, the peak current of the breaking fault decreased, and shorten the interruption time by the self-triggering hybrid DC circuit breaker, which effectively improves the service life. And the factors affecting interruption characteristics are also analyzed. According to the MOPSO algorithm, the stray inductance of transfer branch getting little and the reference voltage of MOV is set to 3.7 kV is the best. The self-triggering hybrid DC circuit has applications in higher voltage level systems, which leads to new concepts for circuit breaker schemes using hybrid structures in future PV systems.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"163 ","pages":"Article 110348"},"PeriodicalIF":5.0,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}