Journal of Modern Power Systems and Clean Energy最新文献

{"title":"Electromagnetic Transient Modeling and Simulation Method for Internal Faults in Permanent Magnet Synchronous Generators","authors":"Jianzhong Xu;Yiyang Zhu;Yifan Liu;Zhaoxuan Tian;Chengyong Zhao;Gen Li","doi":"10.35833/MPCE.2025.000301","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000301","url":null,"abstract":"The timely detection of internal faults in permanent magnet synchronous generators (PMSGs), which are the key components of direct-drive or semi-direct-drive systems, is crucial for ensuring the long-term stable operation of wind turbines. Large-scale experiments are impractical for acquiring sufficient fault data, whereas simulation can effectively provide such data. Furthermore, the power electronic devices in wind turbines exhibit microsecond-level dynamic characteristics, necessitating electromagnetic transient (EMT) simulation. More-over, the black-box models provided by commercial EMT simulation software do not support internal fault simulation. Additionally, existing modeling methods for internal faults in PMSGs can only simulate the generator itself, making it difficult to generate nodal equivalent circuits and preventing direct interfacing with external components such as converters in wind turbine systems. This paper proposes the EMT modeling and simulation method capable of representing various types of internal faults in PMSGs. By integrating two state variables, a nodal quivalent circuit is developed, effectively avoiding the calculation of time-varying partial derivatives. The proposed method can directly interface with converters and grid connections, enabling the fault characteristics to be reflected in the wind turbine system. A unified EMT model encompassing multiple fault types is developed through a standardized modeling procedure. The proposed method is implemented in PSCAD/EMTDC and compared with results obtained from MATLAB. The results demonstrate that the proposed method can accurately reflect the characteristics of internal faults, validating its effectiveness.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 3","pages":"907-919"},"PeriodicalIF":6.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11152641","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148511711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"An Extreme Weather Risk-Averse Planning Method for Soft Open Points Considering Distribution Network Reconfiguration","authors":"Zhuoxu Chen;Zechun Hu;Yujian Wan;Junsong Li","doi":"10.35833/MPCE.2025.000131","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000131","url":null,"abstract":"Extreme weather conditions, characterized as high-impact low-probability (HILP) events, pose significant threats to distribution network (DN). Soft open points (SOPs) have emerged for precise power flow regulation and voltage establishment, and hence can be used for post-fault load restoration to improve the DN resilience, incorporating scenarios generated from weather profiles. In this paper, an extreme weather risk-averse planning method for SOPs is proposed. A two-stage scenario-based stochastic programming (SBSP) model is established to minimize expectation and conditional value-at-risk (CVaR) of load shedding and network loss. Due to the integer variables introduced by DN reconfiguration constraints in the operational stage, the classic Benders decomposition algorithm is inapplicable. To address this challenge, we develop a novel generalized Benders decomposition (GBD)-based solution algorithm, designed to improve the computational efficiency on large-scale cases. Lift-and-project (L&P) cutting plane is employed to derive Benders cuts through the convex hull of mixedinteger second-order cone programming (MISOCP) subproblems. Finally, the effectiveness of the proposed method is demonstrated by numerical experiences on 33- and 123-node test DNs.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 3","pages":"1014-1026"},"PeriodicalIF":6.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11207206","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148511858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Renewable Energy Integration Enhancement by Exploiting Reserve Supply Capabilities of Data Centers and Cross-Region Systems in Multi-Region System Dispatch","authors":"Tianyu Jin;Yuke Lu;Linquan Bai;Xinyu Chen;Jinyu Wen;Yuxin Zhang","doi":"10.35833/MPCE.2025.000306","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000306","url":null,"abstract":"As the rapid growth of renewable energy sources (RESs) with fluctuating and uncertain power generation, reserve shortages become increasingly severe, limiting the further integration of RESs and making it essential to exploit additional reserve sources. The fast-growing data centers offer significant potential to provide reserves due to their spatial and temporal dispatch flexibility. However, large quantities of jobs in the data centers have different computing requirements, making it challenging to estimate the availability of data centers for providing reserves. Meanwhile, the regional resource mix leads to uneven reserve distribution and mismatches between reserve supply and demand. The cross-region reserve supply has the capability to mitigate such mismatches as it allows different regions to provide reserve to each other. This paper enriches the reserve sources in multi-region system dispatch to enhance renewable energy integration by exploiting the reserve supply capabilities of data centers and cross-region systems. The model for available reserves of data centers is proposed via analyzing the envelope of computing constraints of aggregated jobs. In addition, a comprehensive cross-region reserve supply model is presented by considering reserve supply and demand limitations and reserve transmission capability. Case studiesare performed and the results show that the data centers can provide a substantial amount of reserves. Both the migration of jobs among data centers and the cross-region reserve supply transfer reserve resources among multiple regions. Simulations on a real-world power grid system further demonstrate that unlocking the reserve supply potential of data centers can reduce operating costs by 0.4% and the curtailment of RESs by 1.7%.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 3","pages":"833-844"},"PeriodicalIF":6.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11393678","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148512250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 Plant-Control Co-Design Approach for 100% Inverter-Based Microgrids","authors":"Shweta Meena;Ayman AlZawaideh;Hao Tu;Srdjan Lukic","doi":"10.35833/MPCE.2024.001359","DOIUrl":"https://doi.org/10.35833/MPCE.2024.001359","url":null,"abstract":"The growing integration of renewable energy sources is driving microgrids (MGs) toward 100% inverter-based architectures, whose system stability and dynamic performance are tightly coupled with both the MG plant (i.e., resource type, number, and placement) and inverter control strategies. However, the existing MG design approaches typically overlook this coupling and fail to assess the dynamic performance during the design phase explicitly. Therefore, they often produce suboptimal configurations that do not satisfy the dynamic performance requirements once the design process is complete. To address this challenge, this paper introduces a plant-control co-design approach for 100% inverter-based MGs, which simultaneously optimizes the MG plant design and its control to minimize the system costs while ensuring the stable operation and enhanced dynamic performance. The proposed co-design approach systematically explores the feasible plant designs, evaluating their transient responses under disturbances using the optimal controllers. The MG plant design is formulated as a mixed-integer linear program, while MG dynamics are captured through nonlinear differential-algebraic equations. Electromagnetic transient simulation is used to validate the stability, compliance with IEEE 1547 standard, and dynamic performance, including power tracking in the grid-connected mode and disturbance rejection in the islanded mode. Case studies demonstrate the impacts of the number and placement of battery energy storage systems (BESSs) on the dynamic performance of 100% inverter-based MGs.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 3","pages":"1039-1051"},"PeriodicalIF":6.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11313732","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148512652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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-Iterative Market Participation of Virtual Power Plants via Bidding Function Representation","authors":"Yiyang Song;Jianxiao Wang;Yi Wang","doi":"10.35833/MPCE.2025.000570","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000570","url":null,"abstract":"Virtual power plants (VPPs) promote the high-level integration of distributed energy resources (DERs) through complementation and aggregation. To avoid the privacy leakage and enhance the market efficiency, this study aims to achieve the non-iterative market participation of VPPs by accurately characterizing their external bidding functions. To this end, an improved multi-parametric linear programming (MPLP) method is developed to derive the bidding function representation of VPPs. The proposed method projects the detailed internal model of VPPs onto the point of common coupling (PCC). An algorithm for determining a precise initial parameter space (IPS) is proposed, thereby avoiding the redundant solutions that typically occur in traditional MPLP method. The IPS is then partitioned into several critical regions (CRs), within each of which the marginal cost remains constant, facilitating a piecewise linear mapping between the trading power and bidding price. Case studies on modified IEEE 33-bus and IEEE 123-bus systems demonstrate that the proposed method accurately characterizes the bidding functions of VPPs and substantially improves the efficiency of their non-iterative market participation while ensuring data privacy.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 3","pages":"1126-1137"},"PeriodicalIF":6.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11318104","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148003670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Robust Planning of Power System Decarbonization Pathways Considering Demand Response","authors":"Haiyue Yu;Yusheng Xue;Minglei Bao;Hengyu Hui;Dongliang Xie;Yi Ding","doi":"10.35833/MPCE.2025.000134","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000134","url":null,"abstract":"Power systems are undergoing a policy-driven transition to decarbonization, which increases uncertainty and fluctuation due to the high penetration of renewable energy. Concurrently, advancements in communication and control technologies are unlocking greater demand-side flexibility. However, existing conventional long-term resource planning models for power systems do not adequately integrate demand response (DR) resources, operation simulations that account for uncertainty, and social factors such as government policy. To address these shortcomings, this paper introduces a robust planning frame-work for power system decarbonization pathways, specifically considering DR load as a critical flexible resource along with other techniques and impacting factors. Firstly, the long-term impacts of government policies and other social factors on system resource investment costs and development constraints are quantitatively considered, and the adjustable and transferable DR loads as key flexible resources are incorporated to smooth the fluctuations caused by renewable energy generation. Then, a three-stage robust planning model is developed by integrating long-term development planning, day-ahead unit commitment simulation, and intra-day power dispatch simulation to obtain the optimal solution with the lowest total cost over the planning period. Moreover, the column and constraint generation algorithm is modified to solve the planning model, specifically designed to address the decision-dependent uncertainty arising from new asset investments. Case study based on a provincial power system shows that the proposed framework enhances the integration of renewable energy by applying DR resources in line with real social development trends. The combination of long-term system planning, refined short-term operation simulation, and strategic DR integration ensures that the resulting decarbonization pathway is not only economically feasible but also highly robust and reliable.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 3","pages":"1113-1125"},"PeriodicalIF":6.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11247821","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148003592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Hierarchical Energy Management and Control Strategy for Hydrogen–Electricity Coupled DC Microgrids","authors":"Yang Yang;Yanjun Liu;Yuanhang Yang;Yang Li;Wenchao Zhu;Changjun Xie","doi":"10.35833/MPCE.2025.000381","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000381","url":null,"abstract":"Hydrogen - electricity coupled DC microgrids (HE-DCMGs) represent a promising and sustainable solution for off-grid power supply. However, achieving high economic performance while ensuring DC bus voltage stability is a critically challenging task. This study proposes a hierarchical energy management and control strategy for HE-DCMGs that integrates an adaptive mutation Harris hawks optimization (AMH-HO) algorithm at the system level with a fractional-order sliding mode controller (FOSMC) at the device level. A multi-objective optimization problem is formulated to minimize hydrogen consumption and reduce degradation of proton exchange membrane fuel cells and lithium-ion batteries. The AMHHO algorithm, augmented with differential evolution and Lévy flight mechanism, determines the optimal power allocation among distributed sources, while the FOSMC provides robust DC bus voltage regulation. The proposed strategy is validated on a 750 V HE-DCMG experimental platform capable of 168 hours of off-grid operation. Experimental results show that the proposed strategy reduces long-term operating costs and improves energy-utilization efficiency, achieving an overall system efficiency of 80.49%–97.37%. The DC bus voltage is maintained with a response time of 0.02 s, a low overshoot of 3.7%, and a voltage fluctuation rate of 3.08%, all of which comply with the requirements of IEEE Std 1547–2018.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 3","pages":"1087-1099"},"PeriodicalIF":6.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11313731","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148003608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Transfer Learning-Based Model Training for Short-Term Load Forecasting","authors":"Bozhen Jiang;Hongyuan Yang;Yidi Wang;Qin Wang;Hua Geng","doi":"10.35833/MPCE.2024.000940","DOIUrl":"https://doi.org/10.35833/MPCE.2024.000940","url":null,"abstract":"The smart grid infrastructure has recorded extensive real-time electricity consumption data, particularly at the levels of distribution transformers and below for short-term load forecasting (STLF). However, training individual short-term load forecasting model (SLFM) for each STLF scenario at these levels substantially increases the computational costs. To address this challenge, this paper proposes a transfer learning-based model training method for STLF. The proposed method is rooted in transfer learning principles and tailored to the unique characteristics of the aforementioned levels, incorporating several key steps. First, an approach for extracting key peak and valley points based on peak width and peak prominence is proposed for simplifying the evaluation of load sequence similarity. Subsequently, these key points are clustered using a density-based spatial clustering of applications with noise approach to ensure proper alignment along the time axis. Secondly, temporal and distribution similarity metrics are introduced to establish a performance guarantee for the transferred SLFM. Subsequently, a hierarchical clustering method groups load sequences, utilizing temporal similarity to quantify distances among sequences and distribution similarity to optimize cluster number selection. To minimize generalization error and further reduce computational costs, a modified bagging method is proposed and applied during the transferred SLFM fine-tuning. Empirical evidence from a study conducted in Guiyang, China demonstrates that the proposed method maintains the SLFM performance without degradation and significantly reduces computational costs by a minimum of 92.23% across multiple scenarios.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 2","pages":"590-601"},"PeriodicalIF":6.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11145200","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Transient Stability Analysis and Control of VSG-Controlled Multi-Paralleled Photovoltaic Generation Systems Under Asymmetrical Grid Faults","authors":"Hai Xie;Jun Yao;Wenwen He;Dong Yang;Linsheng Zhao","doi":"10.35833/MPCE.2025.000411","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000411","url":null,"abstract":"The virtual synchronous generator (VSG) control is increasingly adopted in multi-paralleled photovoltaic generation systems (MP-PGSs) due to its enhanced grid-support capability. While the transient stability of VSG-controlled photovoltaic generation systems (PGSs) under symmetrical grid faults is well-studied, instability mechanisms under asymmetrical grid faults (AGFs) remain underexplored. This paper establishes a multiple coupling analysis model for transient stability analysis of VSG-controlled MP-PGSs under AGFs. Based on this model, the impacts of coupling dynamics including sequence coupling and mutual coupling on the transient stability of VSG-controlled MP-PGSs are investigated. Furthermore, the influence laws of key parameters on the transient stability are analyzed. To improve the low voltage ride-through capability of MP-PGSs under AGFs, a multi-objective stabilization control method is proposed, which satisfies both the grid codes and current limitation requirements. Finally, simulation results validate the correctness of the theoretical analysis and the effectiveness of the proposed control method.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 3","pages":"920-931"},"PeriodicalIF":6.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11262759","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148509021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Multi-Timescale Energy Storage Planning Based on Wavelet Packet Decomposition","authors":"Renshun Wang;Yuzhong Gong;Guangchao Geng;Quanyuan Jiang","doi":"10.35833/MPCE.2025.000261","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000261","url":null,"abstract":"The increasing penetration of renewable energy sources will impose even more stress on the operational flexibility at multiple timescales. Energy storage (ES) is a promising option to provide multiple services, while various energy storage systems (ESSs) exhibit diverse economic performances at different timescales. However, efficiently and economically combining multi-timescale ESSs to meet flexibility requirements is challenging due to the gap between coarse-grained ESS representations and multi-timescale flexibility requirements. This paper presents a wavelet packet decomposition (WPD) based multitimescale operational flexibility quantification method. Such requirements are clustered and then satisfied by an ES planning model covering multiple timescales from intra-hourly to seasonal using representative scenarios, while considering both short-term (operational) and long-term (technology cost) uncertainties. An empirical analysis of a provincial power grid in East China is performed to obtain the planning results in 2030 and 2060. Numerical results demonstrate the effectiveness of the multi-timescale ES planning model as well as its computational performance and economic advantages.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 3","pages":"932-944"},"PeriodicalIF":6.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11268945","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148511725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}