Journal of Modern Power Systems and Clean Energy最新文献_第6页

Intrusion Detection and Mitigation System for Smart Inverters Based on Machine Learning and Environmental Sensors 基于机器学习和环境传感器的智能逆变器入侵检测与缓解系统

IF 6.2 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2026-07-01 Epub Date: 2026-01-16 DOI: 10.35833/MPCE.2025.000713

Zheyu Zhang;Saifur Rahman

{"title":"Intrusion Detection and Mitigation System for Smart Inverters Based on Machine Learning and Environmental Sensors","authors":"Zheyu Zhang;Saifur Rahman","doi":"10.35833/MPCE.2025.000713","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000713","url":null,"abstract":"The rapid expansion of renewable energy deployment has accelerated the adoption of smart inverters in solar farms. However, their reliance on communication networks introduces cybersecurity vulnerabilities that make inverter measurements susceptible to manipulation. This paper presents an intrusion detection and mitigation system (IDMS) for smart inverters, which leverages machine learning algorithms and environmental sensor data to enhance data integrity and operational resilience. The proposed IDMS integrates the machine learning algorithms to combine a detection system with a mitigation system. The detection system integrates environmental sensor inputs with inverter measurements to accurately identify normal operating behavior and anomalous conditions in real time. To address the cumulative error challenges that arise during attacks, a prediction model based on long short-term memory (LSTM) and trained solely on environmental features is introduced in the mitigation system to reconstruct compromised voltage and current data, thereby preventing recursive cumulative error propagation and ensuring stable system operation. Case studies demonstrate that the proposed IDMS can promptly detect cyberattacks, replace compromised measurements with reliable estimates, and restore normal operation once attacks cease. Additional evaluations across varying data availability conditions in an open dataset confirm the robustness and scalability of the proposed IDMS, making it practical for diverse solar farm deployment environments.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 4","pages":"1527-1537"},"PeriodicalIF":6.2,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11357489","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626844","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}

引用次数: 0

Distributed Model Predictive Control Strategy Based on Battery State and Degradation Awareness for V2G Frequency Response in Charging Stations 基于电池状态和退化感知的充电站V2G频率响应分布式模型预测控制策略

IF 6.2 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2026-07-01 Epub Date: 2026-04-01 DOI: 10.35833/MPCE.2025.000759

Song Ke;Weijie Mai;Jinpeng Tian;Ruohan Guo;Shangyang He;Chi Yung Chung

{"title":"Distributed Model Predictive Control Strategy Based on Battery State and Degradation Awareness for V2G Frequency Response in Charging Stations","authors":"Song Ke;Weijie Mai;Jinpeng Tian;Ruohan Guo;Shangyang He;Chi Yung Chung","doi":"10.35833/MPCE.2025.000759","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000759","url":null,"abstract":"The lack of battery state and degradation awareness in electric vehicles (EVs) participating in vehicle-to-grid (V2G) frequency response (FR) can accelerate battery degradation and impair frequency support. To address this issue, we propose a distributed model predictive control (DMPC) strategy based on battery state and degradation awareness for V2G FR in charging stations (CSs), explicitly integrating battery state and degradation into the proposed strategy. First, a resistor-capacitor (RC) equivalent circuit model of batteries is integrated into the V2G FR. This allows the controller to capture internal battery states including state-of-charge and battery degradation rate. The model also monitors signals such as voltage and current, thereby enhancing both model fidelity and practical implementability. Second, an equivalent degradation model of batteries is embedded within the V2G FR, enabling the controller to jointly account for battery state and degradation while supporting V2G FR. Finally, a cross-scale hierarchical framework for V2G control strategy is developed to decouple and coordinate battery-level states and grid-level power dispatch, achieving hierarchical coordination across individual batteries and the CS. Simulation results demonstrate that the proposed DMPC strategy improves frequency regulation effectiveness, limits V2G FR tracking deviation, enhances battery operation safety and degradation preservation, and achieves more balanced V2G FR power allocation among EVs.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 4","pages":"1439-1450"},"PeriodicalIF":6.2,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11471004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148627615","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}

引用次数: 0

Asynchronous Hierarchical Volt/Var Control for Offshore Wind Farms 海上风电场的异步分层电压/无功控制

IF 6.2 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2026-07-01 Epub Date: 2025-08-22 DOI: 10.35833/MPCE.2025.000141

Yongjun Zhang;Kanghua Zhong;Yingqi Yi;Yang Liu

{"title":"Asynchronous Hierarchical Volt/Var Control for Offshore Wind Farms","authors":"Yongjun Zhang;Kanghua Zhong;Yingqi Yi;Yang Liu","doi":"10.35833/MPCE.2025.000141","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000141","url":null,"abstract":"Utilizing the reactive power (var) capability of wind turbines (WTs) has become the primary method for increasing var reserves in offshore wind farms. However, current methods place an unbearable burden on outdated equipment, which requires frequent communication. Catering to this problem, an asynchronous hierarchical voltage/var (volt/var) control (AHVC) method is proposed, which is constrained by the original communication capability and topology of collector grid, and embedded in a master-slave multi-agent system with an asynchronous hierarchical control scheme. The proposed AHVC method is built on the bilinear optimal power flow (Bilinear-OPF) model with a parallel alternating direction method of multipliers (ADMM) algorithm. It resolves voltage distortion issues in high-capacitance grids by ensuring more precise var targeting across the grid, then the var burden on the static synchro-nous compensator (STATCOM) is reduced. Additionally, the volt/var sensitivity-based Mahalanobis norm hyperparameter setting method ensures local compensation of var sources. The proposed AHVC method achieves rapid convergence and reliable performance amid typical load volatilities of WTs. Simulation results verify the significant improvement of accuracy and voltage stability, even under challenging communication conditions.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 4","pages":"1321-1334"},"PeriodicalIF":6.2,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11134714","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148627795","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}

引用次数: 0

Spatio-Temporal Hybrid Graph-Transformer Model for High-Fidelity Renewable Energy Forecasting 高保真可再生能源预测的时空混合图-变压器模型

IF 6.2 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2026-07-01 Epub Date: 2026-03-13 DOI: 10.35833/MPCE.2025.000504

Muhammad Ali Iqbal;Junho Ahn;Soo Kyun Kim

{"title":"Spatio-Temporal Hybrid Graph-Transformer Model for High-Fidelity Renewable Energy Forecasting","authors":"Muhammad Ali Iqbal;Junho Ahn;Soo Kyun Kim","doi":"10.35833/MPCE.2025.000504","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000504","url":null,"abstract":"Accurate wind and solar power forecasting is crucial for grid stability and renewable energy integration, especially in island like Jeju Island, Republic of Korea. Thi<sup>s</sup> paper tackles challenges such as nonlinear patterns, spatial interdependencies, and resource variability. Current models are limited because they are resource specific, treat spatial and temporal dependencies separately, and lack dynamic inter-site relationship modeling, which are essential in dispersed systems. To over-come these limitations, we propose a spatiotemporal hybrid graph-Transformer (ST-HGT) model for high-fidelity renewable energy forecasting, which combines graph attention networks (GATs), temporal convolutional networks (TCNs), neural basis expansion analysis for interpretable time-series forecasting (N-BEATS), Transformer, and Informer, within a modular architecture. The proposed ST-HGT model captures spatiotemporal dynamics by learning inter-site correlations from weather and power data via a dynamic graph and employing complementary temporal modules to model local features, long-range dependencies, and complex patterns. The proposed ST-HGT model is trained and evaluated independently for wind and solar power forecasting, using real-world datasets from multiple stations across Jeju Island. The results show that the proposed ST-HGT model markedly surpasses state-of-the-art baselines, including Informer, temporal fusion Transformer (TFT), N-BEATS, and recurrent networks. For solar power forecasting, the proposed ST-HGT model achieves a root mean square error (RMSE) of 21.71 kWh and a coefficient of determination R2 of 0.999, with an improvement of more than 96.6% in RMSE relative to the best baseline model. For wind power forecasting, the proposed ST-HGT model achieves an RMSE of 853 kWh and an R2 of 0.99, outperforming all baselines, which have RMSEs exceeding 65000 kWh.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 4","pages":"1348-1360"},"PeriodicalIF":6.2,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11434871","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626053","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}

引用次数: 0

Vulnerability Identification for Urban Power Networks Under Malicious Attacks Considering Topology Completion Uncertainties 考虑拓扑完成不确定性的恶意攻击下城市电网漏洞识别

IF 6.2 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2026-07-01 Epub Date: 2025-07-07 DOI: 10.35833/MPCE.2024.000803

Chengze Li;Wenxia Liu;Rui Cheng;Yuze Yang

{"title":"Vulnerability Identification for Urban Power Networks Under Malicious Attacks Considering Topology Completion Uncertainties","authors":"Chengze Li;Wenxia Liu;Rui Cheng;Yuze Yang","doi":"10.35833/MPCE.2024.000803","DOIUrl":"https://doi.org/10.35833/MPCE.2024.000803","url":null,"abstract":"Urban power network (UPN) topologies are partially observable due to invisible underground cables, leading to incomplete information under malicious attacks. To perform vulnerability identification for UPN under such attacks, it is of great importance to consider topology completion uncertainties in attack and defense strategies. To this end, this paper first proposes a UPN topology completion method, where a series of possible complete topologies associated with their corresponding probabilities are determined by means of Monte Carlo simulation and a knowledge-assisted hierarchical network partitioning algorithm, i. e., the improved SHRINK (I-SHRINK) algorithm. Subsequently, a bi-level stochastic optimization model is established to determine attack strategies by considering topology completion uncertainties, further identifying UPN vulnerability. The upper-level problem aims to maximize the expected load shedding risk, while the goal of lower-level problem is to minimize the total load shedding. Case studies are performed in a real UPN to verify the effectiveness and superiority of the UPN topology completion and vulnerability identification methods.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 4","pages":"1515-1526"},"PeriodicalIF":6.2,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11072539","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626842","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}

引用次数: 0

Distributed Power Management of Off-Grid DC Fast Charging Station Integrated with Multi-Microgrid System Under Uncertainty and Outage Conditions 不确定和停电条件下多微网集成离网直流快速充电站的分布式电源管理

IF 6.2 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2026-07-01 Epub Date: 2026-04-17 DOI: 10.35833/MPCE.2025.000660

Hossien Faraji;Amir Khorsandi;Seyed Hossein Hosseinian

{"title":"Distributed Power Management of Off-Grid DC Fast Charging Station Integrated with Multi-Microgrid System Under Uncertainty and Outage Conditions","authors":"Hossien Faraji;Amir Khorsandi;Seyed Hossein Hosseinian","doi":"10.35833/MPCE.2025.000660","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000660","url":null,"abstract":"Numerous studies nowadays have examined direct current fast charging (DCFC) stations equipped with distributed generations and storage devices or integrated with microgrid (MG) systems. However, none have proposed effective power management for off-grid DCFC stations integrated with multimicro grid (MMG) system. In this paper, innovative distributed power management schemes (DPMSs) for off-grid DCFC station integrated with MMG system (DCFC-MMG) under uncertainty and outage conditions are proposed using distributed control systems (DCSs). The DCFC station is equipped with a central battery unit (CBU) and four charging locations (CLs). The MMG comprises three renewable MGs, which can meet their own energy demands of the power grid independently and provide fast charging for electric vehicles (EVs). Communication among MGs, CLs, and the CBU occurs through distributed interactions. Moreover, the MGs not only provide proper support from DCFC stations during CBU outage considering generation uncertainty and demand fluctuations, but also mutually support each other through microgrid-to-microgrid (MG2MG) interactions under critical conditions such as the outage of any MG batteries. Vehicle-to-vehicle (V2V) and vehicle-to-microgrid (V2MG) capabilities have also been designed to address situations where the MG batteries are simultaneously disconnected. Nonlinear time-domain simulation performed in the MATLAB/ Simulink environment demonstrates that the proposed DPMSs for off-grid DCFC-MMG perform effectively under various uncertainty and outage conditions.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 4","pages":"1427-1438"},"PeriodicalIF":6.2,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11484049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148627005","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}

引用次数: 0

Grid-Friendly Coordinated Robust Control of Multiple Wind Farms for System Frequency Support and Damping Enhancement 基于系统频率支持和阻尼增强的多风电场电网友好协调鲁棒控制

IF 6.2 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2026-07-01 Epub Date: 2026-04-27 DOI: 10.35833/MPCE.2025.000108

Lixue Gao;Shouyuan Wu;Weichao Li;Weichen Zhao;Fan Zhang

{"title":"Grid-Friendly Coordinated Robust Control of Multiple Wind Farms for System Frequency Support and Damping Enhancement","authors":"Lixue Gao;Shouyuan Wu;Weichao Li;Weichen Zhao;Fan Zhang","doi":"10.35833/MPCE.2025.000108","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000108","url":null,"abstract":"Additional control strategies are often incorporated into inverter-based renewable energy sources to enhance the stability of power systems, which introduce frequency response and damping controls that affect the small-signal stability of the system. To address the issues of diminished frequency support capability and damping levels in power systems following the integration of multiple wind farms (WFs), this study investigates the interaction between integrated inertia control and power oscillation damping control. We then propose a grid-friendly coordinated robust control of multiple WFs to simultaneously provide system frequency support and damping enhancement. First, the coupling characteristics of the additional control loops in the WFs are analyzed using a multi-machine damping torque analysis. Then, based on the principles of optimal frequency response ability and optimal damping support ability of WFs, a coordinated robust control model of multiple WFs is established to maximize frequency offset improvements and maximize the minimum damping ratio of dominant oscillation modes. Finally, a multi-objective model-solving algorithm based on eigenvalue sensitivity analysis is proposed to determine the optimal control coefficients. Simulation results demonstrate the effectiveness of the proposed control for WFs in system frequency support and damping enhancement.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 4","pages":"1308-1320"},"PeriodicalIF":6.2,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11495400","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626508","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}

引用次数: 0

Poincaré-type Virtual Oscillator Control and Passivity-Based Transient Stability Enhancement Method for Grid-forming Inverters 成网逆变器poincar<s:1>型虚振控制及无源性暂态稳定增强方法

IF 6.2 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2026-07-01 Epub Date: 2026-03-30 DOI: 10.35833/MPCE.2025.000392

Xiangyu Wu;Shunyu Yao;Yin Xu;Yafan Shi;Josep M. Guerrero

{"title":"Poincaré-type Virtual Oscillator Control and Passivity-Based Transient Stability Enhancement Method for Grid-forming Inverters","authors":"Xiangyu Wu;Shunyu Yao;Yin Xu;Yafan Shi;Josep M. Guerrero","doi":"10.35833/MPCE.2025.000392","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000392","url":null,"abstract":"To solve the limitations of existing virtual oscillator control (VOC), this paper presents the Poincaré -type VOC (PVOC) for grid-forming inverters and further provides a passivity-based transient stability enhancement method for PVOC. First, the core equation of PVOC is formulated based on the Poincaré bifurcation equation, and its advantages of steady droop characteristics and dynamic performances are analyzed. Second, a passivity-based control for PVOC (PBC-PVOC) is designed based on the energy damping and pumping method to enhance the system transient stability. The method of passivating the closed-loop system is illustrated, and the passivity conditions and parameter selections are analyzed in detail. Subsequently, a virtual impedance based current limiting method is presented for PBC-PVOC to effectively prevent the overcurrent under large disturbances. Finally, the time-domain simulation and experiments are carried out for the effectiveness validation under multiple operating conditions.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 4","pages":"1538-1548"},"PeriodicalIF":6.2,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11458070","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626576","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}

引用次数: 0

Polytope-Based Aggregation Method for User-Side Flexible Energy Resources to Improve Flexibility of Active Distribution Networks 基于多面体的用户侧柔性能源聚合方法提高有功配电网的灵活性

IF 6.2 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2026-07-01 Epub Date: 2026-04-02 DOI: 10.35833/MPCE.2025.000776

Jing Wang;Muyang Liu;Junru Chen;Haochen Hua;Lijiao Gong;Weiqing Wang

{"title":"Polytope-Based Aggregation Method for User-Side Flexible Energy Resources to Improve Flexibility of Active Distribution Networks","authors":"Jing Wang;Muyang Liu;Junru Chen;Haochen Hua;Lijiao Gong;Weiqing Wang","doi":"10.35833/MPCE.2025.000776","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000776","url":null,"abstract":"Improving the flexibility of active distribution networks (ADNs) enhances the reliability and economic performance of regional power systems. Common user-side flexible energy resources (FERs), which are numerous but individually limited in capacity, can be aggregated to participate in ADN operations. To accurately and efficiently aggregate heterogeneous user-side FERs, this paper proposes a novel polytope-based aggregation method to construct the aggregated feasible region, which is integrated into a coordinated operation model for ADNs. The proposed method employs an inner approximation using affine transformation to better capture the feasible regions of individual FERs. In addition, a distributionally robust chance-constrained (DRCC) model is integrated to address parameter uncertainties in FERs, and a rolling mechanism is applied to intraday operations for the rolling update of the aggregated feasible region. Finally, a case study of a specific ADN in Northwest China validates the effectiveness of the proposed method and the corresponding improvement in flexibility. The results indicate that the proposed coordinated operation model effectively improves the flexibility of ADNs, and the proposed method reduces the computational burden without compromising economic benefits.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 4","pages":"1387-1398"},"PeriodicalIF":6.2,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11473946","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626598","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}

引用次数: 0

Emergency Power Supply Strategy for Multi-Microgrids Based on Improved Finite-Time Consensus Algorithm 基于改进有限时间共识算法的多微电网应急供电策略

IF 6.2 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2026-07-01 Epub Date: 2025-11-25 DOI: 10.35833/MPCE.2025.000458

Yiling Cheng;Tengfei Zhang;Juai Wu;Zongqiang Zheng;Yusheng Xue;Feng Xue

{"title":"Emergency Power Supply Strategy for Multi-Microgrids Based on Improved Finite-Time Consensus Algorithm","authors":"Yiling Cheng;Tengfei Zhang;Juai Wu;Zongqiang Zheng;Yusheng Xue;Feng Xue","doi":"10.35833/MPCE.2025.000458","DOIUrl":"https://doi.org/10.35833/MPCE.2025.000458","url":null,"abstract":"Islanded multi-microgrids (MMGs) can provide reliable emergency power supply during extreme events. However, under complex operating conditions and disturbances, the effectiveness of this capability depends critically on the design of power supply strategies and the dynamic response performance of power system. To address this challenge, this paper proposes an emergency power supply strategy for MMGs based on improved finite-time consensus algorithm. The proposed strategy achieves frequency and voltage regulation, day-ahead preventive dispatch, and intra-day emergency control through consensus cooperation among agents. The day-ahead preventive dispatch comprises the optimization of distributed generator (DG) outputs at the microgrid (MG) level and power coordination at the MMG level, achieving inter-MG coordination while respecting the autonomy of individual MGs. In the presence of any disturbances, the intra-day emergency control adjusts DG outputs in real time according to their respective participation factors to maintain the scheduled power exchanges among MGs, thus enhancing the robustness of the proposed strategy. Further-more, the improved finite-time consensus algorithm significantly accelerates the convergence speed of the solution. Case studies based on an MMG simulation model are conducted to verify the effectiveness and superiority of the proposed strategy.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"14 4","pages":"1413-1426"},"PeriodicalIF":6.2,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11268939","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148627772","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}

引用次数: 0