IEEE Transactions on Power Systems最新文献_第6页

Transient Stability Analysis and Improvement of Grid-Forming Converters With Switched System Characteristics Under Asymmetric Faults 非对称故障下开关系统特性并网变流器暂态稳定性分析及改进

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-22 DOI: 10.1109/TPWRS.2026.3656683

Tong Wang;Zichang Han;Xiaotong Wang;Zengping Wang;Chongru Liu;Yaqi Shen

{"title":"Transient Stability Analysis and Improvement of Grid-Forming Converters With Switched System Characteristics Under Asymmetric Faults","authors":"Tong Wang;Zichang Han;Xiaotong Wang;Zengping Wang;Chongru Liu;Yaqi Shen","doi":"10.1109/TPWRS.2026.3656683","DOIUrl":"10.1109/TPWRS.2026.3656683","url":null,"abstract":"This paper reveals the switched system properties of the Grid-Forming Converter (GFM) due to its time-varying nature under symmetric and asymmetric fault scenarios. Firstly, a transient model for the GFM incorporating asymmetric components is established. Subsequently, the existence of Multi-Stable Domains (MSDs) under large disturbances is identified. The phase trajectory leading the system to a new stable point is analyzed, revealing that the transition states of these trajectories are critical for maintaining asymptotic stability. Building on this foundation, a novel mechanism is uncovered: negative-sequence components generated by asymmetric faults can attenuate the MSD. Since the GFM has both stable and unstable subintervals in the transient process, the Multiple Discontinuous Lyapunov Function (MDLF) is proposed to realize the quantitative assessment of the transient stability margin. This method effectively provides early signals indicating the stable and unstable states of the switched system. Therefore, a GFM transient stability improvement (TSI) control based on MDLF is proposed to ensure stability under different faults. Finally, a 39-bus system and a real system are established in PSCAD to verify the effectiveness of the theoretical analysis.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"3091-3107"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042709","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

Frequency Control and Optimal Power Sharing in Combined Power and Heating Networks With Heat Pumps 带热泵的电热网频率控制与最优功率分配

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-26 DOI: 10.1109/TPWRS.2026.3658269

Xin Qin;Ioannis Lestas

{"title":"Frequency Control and Optimal Power Sharing in Combined Power and Heating Networks With Heat Pumps","authors":"Xin Qin;Ioannis Lestas","doi":"10.1109/TPWRS.2026.3658269","DOIUrl":"10.1109/TPWRS.2026.3658269","url":null,"abstract":"Heat pumps have the capability for fast adjustments in power consumption with potential connections to large heating-inertia district heating networks, and are thus a very important resource for providing frequency support in low-inertia power systems. Nevertheless, the coupling of power networks with district heating systems renders the underlying dynamics much more involved. It is therefore important to ensure that system stability and appropriate power sharing are maintained. In this paper, we consider the problem of leveraging district heating systems as ancillary services for primary frequency control in power networks via heat pumps. We propose a novel power sharing scheme for heating systems based on the average temperature. This enables an optimal power allocation among diverse energy sources without requiring load disturbance information. We then discuss two approaches for heating systems to contribute to frequency regulation in power networks. We show that both approaches ensure stability in the combined heat and power network and facilitate optimal power allocation among the different energy sources. We also discuss how various generation dynamics can be incorporated into our framework with guaranteed stability and optimality. Finally, we conduct simulations that demonstrate various tradeoffs in the transient response and the practical potential of the proposed approaches.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2730-2742"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146056613","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

Robust Resilience Enhancement Strategy Against Uncertain Cyber-Physical Coordinated Attacks Considering Power-Communication Network Interdependence 考虑电力通信网络相互依赖的不确定网络物理协同攻击鲁棒恢复增强策略

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-28 DOI: 10.1109/TPWRS.2026.3657804

Min Du;Xin Zhang;Jinning Zhang;Rui Zhang;Junbo Zhao

{"title":"Robust Resilience Enhancement Strategy Against Uncertain Cyber-Physical Coordinated Attacks Considering Power-Communication Network Interdependence","authors":"Min Du;Xin Zhang;Jinning Zhang;Rui Zhang;Junbo Zhao","doi":"10.1109/TPWRS.2026.3657804","DOIUrl":"10.1109/TPWRS.2026.3657804","url":null,"abstract":"Due to the interdependence between power and communication networks, cyber-physical power systems (CPPSs) are more vulnerable to cyber-physical coordinated attacks involving uncertainties in attack resources. Such attacks can simultaneously disrupt power and communication networks, causing severe consequences for CPPSs. To address this issue, a distributionally robust resilience enhancement (DRRE) model is proposed to enhance the resilience of CPPSs against uncertain cyber-physical coordinated attacks. An uncertainty set is constructed to describe variations in attack resources, and an ambiguity set based on the Wasserstein metric is developed to characterise the unknown probability distributions of attack resources. Moreover, the DRRE model integrates the functional and topological interdependencies of power and communication networks with the optimal allocation of control centres to enhance system resilience. Then, a combined solution (CS) algorithm integrating the column-and-constraint generation (C&CG) and Benders decomposition (BD) methods is developed to efficiently solve the DRRE model. Finally, simulation results on a modified IEEE RTS-79 system and a practical 62-bus system demonstrate the effectiveness of the proposed approach.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2879-2894"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146070206","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

Short-Term Photovoltaic Power Prediction Based on Continuous Conditional Random Field 基于连续条件随机场的光伏短期功率预测

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-03-02 DOI: 10.1109/TPWRS.2026.3668968

Miao Yu;Jinyang Han;Huiran Zhang;Ahmed Abu-Siadad;Bin Song

{"title":"Short-Term Photovoltaic Power Prediction Based on Continuous Conditional Random Field","authors":"Miao Yu;Jinyang Han;Huiran Zhang;Ahmed Abu-Siadad;Bin Song","doi":"10.1109/TPWRS.2026.3668968","DOIUrl":"10.1109/TPWRS.2026.3668968","url":null,"abstract":"Accurate photovoltaic (PV) power prediction is essential to facilitate the integration of renewable energy sources. Among other things, the results of PV power prediction depend heavily on weather conditions. However, current methods either construct Numerical Weather Prediction (NWP) for prediction through physical models only or use machine learning methods to create time series for prediction. The aim of this paper is to combine accurate NWP information with machine learning methods to fulfil the task of PV power generation prediction using high-precision NWP data. To this end, we propose a Continuous Conditional Random Field (CCRF) model integrating Kolmogorov-Arnold Network (KAN) and contrast learning, which first generates NWP data with high spatial and temporal resolution as input features by constructing a weather research and prediction model. Then, we use KAN to train a unitary potential function in a stochastic conditional field, and then learn the time-dependent information from the pairwise potential function through contrast learning modelling. Finally, prediction results are produced from a real photovoltaic power plant in Australia. Compared to existing methods, our proposed approach not only improves the accuracy of PV power prediction, but also reduces the complexity of the model and improves the overall efficiency.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2494-2507"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147350326","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

Nonlinear Control to Improve Grid Integration of Grid-Forming Converters 提高成网变流器网格整合的非线性控制

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-19 DOI: 10.1109/TPWRS.2026.3655595

Andres E. Leon;Jorge A. Solsona;Roberto A. Fantino;Claudio A. Busada

{"title":"Nonlinear Control to Improve Grid Integration of Grid-Forming Converters","authors":"Andres E. Leon;Jorge A. Solsona;Roberto A. Fantino;Claudio A. Busada","doi":"10.1109/TPWRS.2026.3655595","DOIUrl":"10.1109/TPWRS.2026.3655595","url":null,"abstract":"This paper presents a nonlinear control strategy for grid-forming converters (GFCs) that facilitates the integration of converter-interfaced systems into the grid. For large-scale implementation, GFC control must ensure that the converter remains connected during disturbances and support grid stability. GFCs have inner loops that control the output voltage and outer loops that calculate references to provide grid services, such as frequency regulation, inertia emulation, and power oscillation damping. Designing the outer control loops is challenging due to nonlinearities in the power transfer equations. To solve this problem, this paper introduces a nonlinear transformation based on exact feedback linearization, which cancels nonlinearities and results in a decoupled linear system. This approach avoids small-signal linearization around an operating point, achieving high-performance control over a wide operating range. To ensure a reliable grid connection, GFCs must meet requirements such as fault ride-through, damping provision, and current limitation during faults. The control strategy presented here addresses these issues and improves GFC characteristics such as electromechanical oscillation damping and critical clearing time. The effectiveness of the strategy is validated using the IEEE 39-bus and 118-bus test systems. Performance is compared with existing control schemes through eigenvalue and transient-response analyses, phase portraits, and the integral of absolute error (IAE) metric.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"3149-3160"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146001015","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

Power Reserve Capacity From Virtual Power Plants With Reliability and Cost Guarantees 具有可靠性和成本保证的虚拟电厂备用容量

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-14 DOI: 10.1109/TPWRS.2026.3654192

Lorenzo Zapparoli;Blazhe Gjorgiev;Giovanni Sansavini

{"title":"Power Reserve Capacity From Virtual Power Plants With Reliability and Cost Guarantees","authors":"Lorenzo Zapparoli;Blazhe Gjorgiev;Giovanni Sansavini","doi":"10.1109/TPWRS.2026.3654192","DOIUrl":"10.1109/TPWRS.2026.3654192","url":null,"abstract":"The growing penetration of renewable energy sources is expected to drive higher demand for power reserve ancillary services (AS). One solution is to increase the supply by integrating distributed energy resources (DERs) into the AS market through virtual power plants (VPPs). Several methods have been developed to assess the potential of VPPs to provide services. However, the existing approaches fail to account for AS products’ requirements (reliability and technical specifications) and to provide accurate cost estimations. Here, we propose a new method to assess VPPs’ potential to deliver power reserve capacity products under forecasting uncertainty. First, the maximum feasible reserve quantity is determined using a novel formulation of subset simulation for efficient uncertainty quantification. Second, the supply curve is characterized by considering explicit and opportunity costs. The method is applied to a VPP based on a representative Swiss low-voltage network with a diversified DER portfolio. We find that VPPs can reliably offer reserve products and that opportunity costs drive product pricing. Additionally, we show that the product’s requirements strongly impact the reserve capacity provision capability. This approach aims to support VPP managers in developing market strategies and policymakers in designing DER-focused AS products.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2643-2654"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11353048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145972037","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 Strength for Power Electronics Penetrated Power System From a Quasi-Equilibrium Perspective 准平衡视角下电力电子侵彻电力系统的电网强度

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-19 DOI: 10.1109/TPWRS.2026.3655702

Yuwen Qin;Chao Duan;Boyan Zhao;Chongtao Li;Zhaohong Bie

{"title":"Grid Strength for Power Electronics Penetrated Power System From a Quasi-Equilibrium Perspective","authors":"Yuwen Qin;Chao Duan;Boyan Zhao;Chongtao Li;Zhaohong Bie","doi":"10.1109/TPWRS.2026.3655702","DOIUrl":"10.1109/TPWRS.2026.3655702","url":null,"abstract":"The increasing integration of power electronic devices in modern power systems necessitates an accurate quantification of grid strength (GS). Conventional measures, such as short-circuit ratio (SCR)-based indices, fall short in capturing the nonlinear characteristics and voltage constraints inherent to power electronics. To overcome these limitations, we propose a novel GS measure to quantify the voltage support capability in multi-infeed systems with heterogeneous power electronic devices. Our approach begins with a quasi-equilibrium model to characterize the current injection behavior of power electronic devices. A grid characteristic function is then derived from the system’s current balance equations. By leveraging Brouwer’s fixed-point theorem, a sufficient condition for the existence of a quasi-equilibrium is established through the self-mapping property of the grid characteristic function. This condition yields a topology-independent critical value, effectively quantifying the voltage support capability of power electronics penetrated power systems. To compute the GS measure, we employ two complementary numerical methods: moment relaxation for rigorous bounds and interior-point optimization for computational efficiency, offering adaptable solutions for diverse scenarios. The effectiveness of the proposed method is validated through electromechanical transient simulations and comparative analysis on the modified IEEE 14-bus and 118-bus test systems, demonstrating improved accuracy and robustness over conventional SCR-based indices.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2757-2773"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146001014","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

Small-Signal Stability and Inertia Constrained Optimal Configuration Method of Grid-Forming Energy Storage Systems 成网储能系统的小信号稳定性和惯性约束优化配置方法

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-03-03 DOI: 10.1109/TPWRS.2026.3670426

Kezan Zhang;Xia Chen;Yin Chen;Hui Yang;Huanhai Xin;Jinyu Wen

{"title":"Small-Signal Stability and Inertia Constrained Optimal Configuration Method of Grid-Forming Energy Storage Systems","authors":"Kezan Zhang;Xia Chen;Yin Chen;Hui Yang;Huanhai Xin;Jinyu Wen","doi":"10.1109/TPWRS.2026.3670426","DOIUrl":"10.1109/TPWRS.2026.3670426","url":null,"abstract":"With the increasing penetration of renewable energy sources and power electronic converters, the grid strength and inertia of modern power systems have significantly declined, potentially leading to various stability challenges, such as small-signal stability and frequency stability. It is widely recognized that the integration of grid-forming (GFM) energy storage systems (ESS) can mitigate these issues and enhance the stable operation of power systems from multiple perspectives. However, determining the optimal configuration of GFM ESS in hybrid systems to balance stability and economic efficiency remains an open research question. To bridge this gap, this paper proposes an optimization method for GFM ESS configuration considering stability constraints. First, based on the small-signal model of the multi-converter system, the relationship between system stability and the placement and capacity of GFM ESS is established, and stability criteria are derived. On this basis, both small-signal stability constraints and inertia constraints are incorporated, formulating the GFM ESS configuration problem as a mixed-integer programming problem. Finally, a relaxation method for eigenvalue constraints and a two-layer iterative algorithm are proposed to solve the optimization problem efficiently. Case studies conducted on the IEEE 39-bus system and the fully inverter-based system validate the accuracy and general applicability of the proposed configuration method.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2850-2865"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147350309","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 Robust and Fast Operational Risk Assessment Method for Composite Power Systems With High Wind Power Penetration 高风电渗透复合电力系统鲁棒快速运行风险评估方法

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-03-04 DOI: 10.1109/TPWRS.2026.3670459

Jueyou Li;Kairui Gu;Kequan Zhao;Zhengmao Li;Zhaoyang Dong

{"title":"A Robust and Fast Operational Risk Assessment Method for Composite Power Systems With High Wind Power Penetration","authors":"Jueyou Li;Kairui Gu;Kequan Zhao;Zhengmao Li;Zhaoyang Dong","doi":"10.1109/TPWRS.2026.3670459","DOIUrl":"10.1109/TPWRS.2026.3670459","url":null,"abstract":"The strong stochasticity and volatility of wind power generation pose new challenges to the operational reliability of power systems. Traditional reliability assessment often struggles to balance economic efficiency and robustness under high-penetration wind power integration, yielding either optimistic or overly conservative results. We develop a data-driven distributionally robust optimization (DRO) model for operational risk assessment, which computes state-conditioned reliability indices while hedging probability misspecification and distribution shifts. To meet real-time needs, we propose a CNN-DRO method that predicts the worst-case probability distribution (WPD) and thereby collapses the tri-level “min-max-min” DRO model to a single-level OPF-consistent optimization problem solved per operating state. This preserves physical feasibility and enables minute-level updates. A hybrid CNN Classifier-Regressor design first screens secure states (no load shedding needed) and then predicts the WPD for insecure states, so only the latter invokes the single-level optimization solve. The CNN inference is negligible relative to the solver. Numerical simulations are conducted on the RTS-79 and IEEE 118-bus systems under varying wind power penetration levels, with comparisons against stochastic optimization (SO) and robust optimization (RO) methods. The results validate the superior robustness and economic benefits of the proposed DRO model in operational risk assessment for high-penetration wind power systems. Additionally, experiments demonstrate that the proposed method has much higher computational speed and accuracy when compared with the classical column and constraint generation (CCG) algorithm.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2838-2849"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147361041","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

Harnessing Flexibility of Distribution System With Uncertain Loads and DERs 不确定负荷和需求条件下配电系统的柔性控制

IF 8.7 1区工程技术

IEEE Transactions on Power Systems Pub Date : 2026-07-01 Epub Date: 2026-01-27 DOI: 10.1109/TPWRS.2026.3658610

Aditya Shankar Kar;Kiran Kumar Challa;Alok Kumar Bharati;Venkataramana Ajjarapu

{"title":"Harnessing Flexibility of Distribution System With Uncertain Loads and DERs","authors":"Aditya Shankar Kar;Kiran Kumar Challa;Alok Kumar Bharati;Venkataramana Ajjarapu","doi":"10.1109/TPWRS.2026.3658610","DOIUrl":"10.1109/TPWRS.2026.3658610","url":null,"abstract":"The aggregated capability distributed energy resources (DER) and controllable loads present in active distribution systems (D-system) can be an additional source to support need of future grid which can be economical and emission free. To engage these DERs & make use of the D-system’s flexibility in the transmission side, distribution system operators (DSOs)/aggregators need to aggregate individual DERs’ capability and communicate it to the transmission system operators (TSOs). However, the variability in DERs and loads makes the aggregated capability region contentious. The objective of the paper is to construct a probabilistic active and reactive power (P-Q) flexibility region of the distribution system which can be leveraged to support the transmission grid during contingencies. In this work, uncertainty is incorporated into the aggregation process by formulating a chance-constrained OPF. The resulting P-Q flexibility region with the associated probability can be used by the aggregator to determine the level of participation in the energy market and ancillary service commitments. The P-Q flexibility region is expected to be valid in real-world scenarios as it takes different practicalities into account such as device state and the unbalanced nature of the distribution system.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"41 4","pages":"2520-2532"},"PeriodicalIF":8.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146056611","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