IEEE Transactions on Sustainable Energy最新文献_第4页

An Optimization Framework for Component Sizing and Energy Management in Electric-Hydrogen Hybrid Energy Storage Systems 电-氢混合储能系统组件尺寸和能量管理的优化框架

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-03-06 DOI: 10.1109/TSTE.2025.3547919

Yuzhen Tang;Qian Xun;Zhuoqun Zheng;Fanqi Min;Chengwei Deng;Jingying Xie;Hengzhao Yang

{"title":"An Optimization Framework for Component Sizing and Energy Management in Electric-Hydrogen Hybrid Energy Storage Systems","authors":"Yuzhen Tang;Qian Xun;Zhuoqun Zheng;Fanqi Min;Chengwei Deng;Jingying Xie;Hengzhao Yang","doi":"10.1109/TSTE.2025.3547919","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3547919","url":null,"abstract":"This paper proposes an optimization framework to address the component sizing and energy management problems in an electric-hydrogen hybrid energy storage system connected to a wind turbine. The total cost of the hybrid system is minimized using a particle swarm optimization (PSO) algorithm. In particular, four decision variables are optimized: the electrolyzer (EL) size, the supercapacitor (SC) size, and two parameters in the energy management strategy (EMS). To determine the power split factor for the wind power, the EMS introduces an artificial potential field (APF) and defines a virtual force based on the SC state of charge (SOC). Two APF parameters are optimized to tune the power allocation between the EL and the SC: the shaping parameter of the virtual force and the basis parameter of the power split factor. Since the cutoff frequency of the low pass filter (LPF) in the EMS is adaptively updated based on the optimized APF parameters, the proposed framework is referred to as the “OP-APF” framework. The effectiveness of the OP-APF framework is validated by performing MATLAB and real-time simulations. Compared to three baseline frameworks, OP-APF is more effective in reducing the system total cost, controlling the SC SOC, and alleviating the EL degradation.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2182-2196"},"PeriodicalIF":8.6,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Promote Data Sharing in Integrated Power-Traffic Networks: A Coalition Game Approach 促进综合电力交通网络的数据共享：一个联盟博弈方法

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-03-05 DOI: 10.1109/TSTE.2025.3548435

Si Lv;Sheng Chen;Tengfei Zhang;Chen Chen;Junjun Xu;Zhinong Wei

{"title":"Promote Data Sharing in Integrated Power-Traffic Networks: A Coalition Game Approach","authors":"Si Lv;Sheng Chen;Tengfei Zhang;Chen Chen;Junjun Xu;Zhinong Wei","doi":"10.1109/TSTE.2025.3548435","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3548435","url":null,"abstract":"Accurately estimating spatial-temporal electric vehicles' (EVs) charging demands is crucial for the secure and economic operation of power systems. At present, the distribution system operator (DSO) relies on historical data collected at each charging station to estimate future EV charging demand. However, the station-level forecast disregards EVs' spatial correlations within traffic networks (TNs) and might suffer significant forecast error, forcing the DSO to make conservative scheduling at the expense of operation economics. To this end, this paper proposes to leverage cross-sector information (i.e., traffic demand data and network parameters in TNs) to enhance forecast accuracy and avoid over-conservative operations. To facilitate the data sharing among the DSO and TN data holders (i.e., traffic authority and navigation App. companies), we adopt the Coalition Game theory to uncover how these entities could cooperate to benefit each other, and to fairly allocate the extra profits (i.e., the operational cost reduction induced by the improved forecasts) among themselves. The conditional value-at-risk theory is adopted to model the risk-averse behavior of the DSO. In case studies, we reveal the non-negligible impact of TN condition variations on EV charging distributions. Moreover, numerical results show that sharing high-quality traffic data contributes to the reduction in DSO's operating cost by utmost 20.8% as compared to the current practice without data sharing.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2171-2181"},"PeriodicalIF":8.6,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Dynamic Model-Based Minute-Level Optimal Operation Strategy for Alkaline Electrolyzers in Wind-Hydrogen Systems 基于动态模型的风氢系统碱性电解槽分级优化运行策略

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-03-05 DOI: 10.1109/TSTE.2025.3548052

Aobo Guan;Suyang Zhou;Wei Gu;Zhi Wu;Xiaomeng Ai;Jiakun Fang;Xiao-ping Zhang

{"title":"A Dynamic Model-Based Minute-Level Optimal Operation Strategy for Alkaline Electrolyzers in Wind-Hydrogen Systems","authors":"Aobo Guan;Suyang Zhou;Wei Gu;Zhi Wu;Xiaomeng Ai;Jiakun Fang;Xiao-ping Zhang","doi":"10.1109/TSTE.2025.3548052","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3548052","url":null,"abstract":"Maintaining the export power of wind-hydrogen systems within a stable range is critical for power system security. However, this is challenged by the mismatch between large time-scale of alkaline electrolyzer (AWE) scheduling strategies and the short-term fluctuations of wind power. To address this issue, this paper proposes a novel minute-level optimization strategy for AWE operation. Developing effective small time-scale strategies requires a detailed consideration of AWE dynamics. To this end, we first introduce its steady-state electrochemical characteristics and third-order dynamic models for both temperature and Hydrogen-to-Oxygen (HTO) ratio. Based on these refined models, we develop an AWE optimization framework that enables electrolysis power to track minute-level wind power fluctuations by dynamically adjusting fine-grained variables, such as the lye flow rate, cooling flow rate, and pressure, at 1-minute intervals. To overcome the computational challenges posed by the detailed modeling, we propose an improved model predictive control (MPC) framework. This framework incorporates model simplifications to improve computational efficiency, along with an optimization-simulation iterative procedure to ensure operational feasibility. Case studies demonstrate that the proposed strategy extends the AWE load range by 13.8% and reduces wind power curtailment by 15.06%. Additionally, synergies among control variables enable the system to achieve a balance between operational efficiency, stability, and security, highlighting the potential of this approach to enhance the performance of wind-hydrogen integrated systems.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2157-2170"},"PeriodicalIF":8.6,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

State Transfer Induced Transient Synchronization Instability of GFM-VSC: Analysis and Improvement ggm - vsc状态转移诱导的暂态同步失稳：分析与改进

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-03-04 DOI: 10.1109/TSTE.2025.3547539

Yushuang Liu;Hua Geng;Geng Yang;Meng Huang;Changjun He;Xiaoming Zha;Wenze Ding;Feng Liu

{"title":"State Transfer Induced Transient Synchronization Instability of GFM-VSC: Analysis and Improvement","authors":"Yushuang Liu;Hua Geng;Geng Yang;Meng Huang;Changjun He;Xiaoming Zha;Wenze Ding;Feng Liu","doi":"10.1109/TSTE.2025.3547539","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3547539","url":null,"abstract":"The operation mode of grid-forming voltage source converters (GFM-VSCs) may switch between voltage source mode (VSM) and current source mode (CSM) under some situations such as grid faults, owing to the current limitation control. During the mode-switching process, there is state transfer from the final state of the last mode to the initial state of the next mode, which impacts the transient synchronization stability (TSS) of GFM-VSCs. This paper primarily focuses on analyzing and improving the TSS of GFM-VSCs by considering the effect of state transfer. A novel transient instability mechanism is revealed through the existence analysis of equilibrium points. It clarifies that the state transfer may cause the operating trajectory during faults to bypass the stable equilibrium point in CSM before diverging to the next cycle, thereby resulting in transient synchronization instability. Besides, to further analyze the TSS of mode-switched VSCs considering the dynamics during faults, multiple Lyapunov functions are adopted to derive the TSS criteria and boundaries. It has been identified that lowering the minimum critical current and adjusting the saturated current phase in accordance with virtual power angle (VPA) dynamics can enhance the TSS. Therefore, a VPA feedback-based current limiting strategy is proposed to safeguard GFM-VSCs against overcurrent and ensure the TSS. The validity of the new transient instability mechanism and the efficacy of the proposed strategy are confirmed through simulations of a GFM-VSC connected to an IEEE 39-bus power grid and hardware-in-the-loop experiments.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2114-2131"},"PeriodicalIF":8.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing Dynamic Reserves vs. Stochastic Optimization for Effective Integration of Operating Probabilistic Forecasts 动态储量评估与运行概率预测有效整合的随机优化

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-03-04 DOI: 10.1109/TSTE.2025.3547561

Qin Wang;Miguel Ortega-Vazquez;Aidan Tuohy;Erik Ela;Mobolaji Bello;Daniel Kirk-Davidoff;William B. Hobbs;Vijay Kumar

{"title":"Assessing Dynamic Reserves vs. Stochastic Optimization for Effective Integration of Operating Probabilistic Forecasts","authors":"Qin Wang;Miguel Ortega-Vazquez;Aidan Tuohy;Erik Ela;Mobolaji Bello;Daniel Kirk-Davidoff;William B. Hobbs;Vijay Kumar","doi":"10.1109/TSTE.2025.3547561","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3547561","url":null,"abstract":"Probabilistic forecasting is becoming pivotal in utilities' decision-making processes, offering an accurate portrayal of plausible forecast deviations as opposed to deterministic forecasting which only focuses on the expected forecasted variables. Two methods, dynamic reserve and stochastic optimization, have been used to integrate probabilistic forecasts into power system operational planning. Dynamic reserve predicts system reserve requirements based on observed (from historical observations) or expected (from probabilistic forecasts) uncertainty spreads. This approach has a low computational burden, but it is commitment and dispatch agnostic. Stochastic optimization, on the other hand, considers multiple scenarios simultaneously (from probabilistic forecasts), allocating recourse across the commitment and dispatch variables, but demanding high computational resources and time. The selection between these methods depends on utility requirements and specific situations. This paper conducts a comprehensive evaluation of both methods using a calibrated real-size system representing the Southern Company for medium and high solar penetration levels. Additionally, it proposes a hybrid dynamic reserve and stochastic optimization approach with a risk evaluation pre-scheduling procedure to enhance decision-making.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2132-2143"},"PeriodicalIF":8.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Minimax Regret Robust Co-Planning of Transmission and Energy Storage Systems With Mixed Integer Recourse 混合整数追索权下输电与储能系统的最小最大遗憾鲁棒协同规划

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-03-04 DOI: 10.1109/TSTE.2025.3547836

Ehsan Barkom;Hossein Saber;Moein Moeini-Aghtaie;Mehdi Ehsan;Mohammad Shahidehpour

{"title":"Minimax Regret Robust Co-Planning of Transmission and Energy Storage Systems With Mixed Integer Recourse","authors":"Ehsan Barkom;Hossein Saber;Moein Moeini-Aghtaie;Mehdi Ehsan;Mohammad Shahidehpour","doi":"10.1109/TSTE.2025.3547836","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3547836","url":null,"abstract":"The growing penetration of renewable energy sources, with intermittent and uncertain nature, brings new challenges to the secure and efficient operation of power systems. Expanding transmission networks and utilizing energy storage (ES) have been introduced as effective solutions to address these challenges. This paper presents a minimax regret robust co-planning model with mixed integer recourse for transmission and ES systems, designed from the perspective of a central planner. The model considers a polyhedral uncertainty set for future peak load growth, while uncertainties in wind farm expansion are addressed through internal scenario analysis. This approach will guarantee the robustness of investment decisions and provide the central planner with a clear picture of the maximum regret among all possible scenarios. Furthermore, the proposed minimax regret framework facilitates strategic planning for ES installation after the resolution of long-term uncertainties. In this paper, we reformulate the model into a standard min-max-min problem, in which the maximization level is only over uncertainties. Subsequently, a five-level solution strategy based on a modified nested column and constraint generation decomposition technique is represented to deal with the intractability and complexity of the problem caused by binary variables of transmission lines and ES blocks. The model is finally evaluated through comprehensive simulation studies to verify its tractability, practicality, and effectiveness.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2144-2156"},"PeriodicalIF":8.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Online Monitoring of Battery Degradation for Enhanced Power Smoothing of PV Power Plants 增强光伏电站功率平滑的电池退化在线监测

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-03-03 DOI: 10.1109/TSTE.2025.3546996

Ammar Atif Abdalla;Mohamed Shawky El Moursi;Tarek H. M. El-Fouly;Khalifa Hassan Al Hosani

{"title":"Online Monitoring of Battery Degradation for Enhanced Power Smoothing of PV Power Plants","authors":"Ammar Atif Abdalla;Mohamed Shawky El Moursi;Tarek H. M. El-Fouly;Khalifa Hassan Al Hosani","doi":"10.1109/TSTE.2025.3546996","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3546996","url":null,"abstract":"In pursuit of a carbon-neutral future, the integration of photovoltaic (PV) power plants into the electrical power grid is expanding. Although beneficial, this expansion presents challenges due to weather-induced variability, which destabilizes the grid and causes voltage and frequency deviations. A viable solution is the use of Battery Energy Storage Systems (BESS) alongside PV power plants. However, conventional controllers, which lead to uniform and frequent charging cycles, accelerate degradation and reduce efficiency in BESS. To address this, this paper proposes segmenting the BESS units into distinct charging and discharging groups, effectively minimizing battery cycling and enhancing their lifespan. The controller dynamically assigns batteries to each group based on power fluctuation forecasts using a power-sharing model. This model manages battery activation, enables inter-group support, and balances degradation by monitoring BESS charge levels and assessing battery health through an online system. This controller, coupled with a degradation balancing layer, strategically prioritizes units based on their cycling age. The proposed technique was rigorously tested and experimentally validated, demonstrating that it significantly reduces battery degradation to a maximum of 0.099%, in stark contrast to the up to 4.41% observed with conventional controllers.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2096-2113"},"PeriodicalIF":8.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10908680","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331568","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

A Unified Strategy for Frequency Regulating and MPPT for Photovoltaic Sources Based on a Novel Three-Parameter Characteristic Curve 基于新型三参数特性曲线的光伏电源调频与最大功率同步策略

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-27 DOI: 10.1109/TSTE.2025.3546706

Yihao Zhu;Hongda Cai;Pengcheng Yang;Yongzhi Zhou;Yanghong Xia;Wei Wei

{"title":"A Unified Strategy for Frequency Regulating and MPPT for Photovoltaic Sources Based on a Novel Three-Parameter Characteristic Curve","authors":"Yihao Zhu;Hongda Cai;Pengcheng Yang;Yongzhi Zhou;Yanghong Xia;Wei Wei","doi":"10.1109/TSTE.2025.3546706","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3546706","url":null,"abstract":"The large-scale integration of Photovoltaic (PV) sources may reduce system inertia and power quality, resulting in increased frequency fluctuations and diminished system stability due to lack of the primary frequency regulation (FR) capability. To address these challenges, this paper proposes a unified strategy for frequency regulating and Maximum Power Point Tracking (MPPT) for PV sources to provide ancillary services to the power grid. The strategy employs a specifically designed active power control (APC) method to enable rapid and flexible power adjustments of PV sources, with which further FR function may be achieved. The presented APC algorithm adopts an iterative technique with a novel three-parameter PV characteristic curve, making it possible to reconstruct the real-time PV generation model, clarify the relationship between the system frequency, output power, and operating voltage. Its high control accuracy, fast convergence rate, and strong explainability offer significant practical value. Additionally, this adaptive control strategy features autonomous switch between the FR and MPPT modes adapting to real-time irradiation changes, without the need for additional irradiation or temperature sensors. The integration enhances both solar utilization efficiency and the FR capability, while eliminating the controller transitions during operating mode switches. Hardware-in-the-loop tests validate the feasibility and effectiveness of the proposed strategy.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2084-2095"},"PeriodicalIF":8.6,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Decentralized Synthetic Inertia Control for Two-Area Power Systems With Wind Integration 风电一体化两区电力系统的分散综合惯性控制

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-27 DOI: 10.1109/TSTE.2025.3546203

Aldo Barrueto;Hector Chavez;Karina Barbosa

{"title":"Decentralized Synthetic Inertia Control for Two-Area Power Systems With Wind Integration","authors":"Aldo Barrueto;Hector Chavez;Karina Barbosa","doi":"10.1109/TSTE.2025.3546203","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3546203","url":null,"abstract":"Modern power systems may experience decrease in stability due to the increased integration of variable generation sources that depend on power electronics converters. A common control strategy is to incorporate synthetic inertia from wind turbines, typically using state-feedback control in a single-area power system model that assumes uniform frequency. As power systems become more interconnected, different frequency behaviors can emerge in multiple areas, casting doubt on current methods that do not consider multi-area stability. Furthermore, most single-area synthetic inertia methods ignore the limitations of communication systems in real power systems. This paper proposes a decentralized synthetic inertia control strategy for a two-area power system with wind power. This approach accounts for the actual behavior of power systems in different areas and the limitations of communication systems in real scenarios. Numerical results, derived from dynamic models using actual operating data from the Chilean Power System, demonstrate that the decentralized control performs comparably to centralized control in maintaining power system stability and optimizing frequency nadir. However, the decentralized control has the advantage of relying solely on local variables, eliminating the need for communication links between areas during operation.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2073-2083"},"PeriodicalIF":8.6,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Matrix Adaptive Correction-Based Dynamic Dimensionality Reduction Method for Voltage-Related TSCOPF in Bulk Power Systems With High Wind Power Penetration 基于矩阵自适应校正的大容量风电系统电压相关TSCOPF动态降维方法

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2025-02-25 DOI: 10.1109/TSTE.2025.3545467

Lin Xue;Tao Niu;Nan Feng;Sidun Fang;Yuyao Feng;Hung Dinh Nguyen;Guanhong Chen

{"title":"Matrix Adaptive Correction-Based Dynamic Dimensionality Reduction Method for Voltage-Related TSCOPF in Bulk Power Systems With High Wind Power Penetration","authors":"Lin Xue;Tao Niu;Nan Feng;Sidun Fang;Yuyao Feng;Hung Dinh Nguyen;Guanhong Chen","doi":"10.1109/TSTE.2025.3545467","DOIUrl":"https://doi.org/10.1109/TSTE.2025.3545467","url":null,"abstract":"Transient security-constrained optimal power flow (TSCOPF) is an important class of problems for system operation. Several challenges arise when dealing with bulk power grids, including the large size and complex transient voltage behaviors. This paper aims to address such hurdles by proposing a dynamic dimensionality reduction matrix adaptive correction (DDR-MAC) algorithm, which can effectively evaluate proper Volt/Var levels to guarantee secure system operation. First, this paper performs dimensionality reduction processing at the bus and device levels to obtain a low-dimensional model with dominant modes, which solves the problems of high-order and large computational volumes of differential equations. Moreover, a dimensionality reduction error assessment model is established to ensure reduced-order accuracy. Then, the reduced-order TSCOPF model is equivalently decomposed into a mixed-integer linear optimization model and a combined coefficient correction model for system dynamic constraints and steady-state nonlinear constraints. Furthermore, a secant/tangent sensitivity adaptive correction method is presented to achieve fast computation. The DDR-MAC approach is verified across differently scaled IEEE test systems and the Nordic test system and can improve computational efficiency by 49.07% while offering higher accuracy than traditional computation methods.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"2058-2072"},"PeriodicalIF":8.6,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0