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Low-frequency Oscillations and Resonance Analysis of VSG-controlled PMSG-based Wind Generation Systems

Journal of Modern power Systems and Clean Energy 2025年第1期13卷 115-127页

作者： Yizhuo Ma Jin Xu Chenxiang Gao Guojie Li keyou Wang Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai Jiao Tong UniversityShanghaiChina

With good adaptability to weak power grids,the grid-forming inverter becomes the foundation of future power grids with high-proportion renewable ***,the virtual synchronous generator(VSG)control is recognized as the mainstream control strategy for grid-forming *** permanent magnet synchronous generator(PMSG)based wind generation systems connected to power grid via VSG-controlled grid-forming inverters,some novel impacts on the low-frequency oscillations(LFOs)emerge in power *** first impact involves the negative/positive damping effect on *** this paper,the small-signal torque model of VSG-controlled PMSGbased wind generation systems is established based on the damping torque analysis method,revealing the influence mechanism of machine-side dynamics on LFOs and proving the necessity of the double-mass model for accurate stability *** second impact is the resonance effect between torsional oscillation and ***,this paper uses the open-loop resonance analysis method to study the resonance mechanism and to predict the root ***,a damping enhancement strategy is proposed to weaken and eliminate the negative damping effect of machine-side dynamics on LFOs and the resonance effect between torsional oscillation and ***,the analysis result is validated through a case study involving the connection of the VSG-controlled PMSG-based wind generation system to the IEEE 39-bus AC grid,supporting the industrial application and stable operation of VSG-controlled PMSGbased wind generation systems.

关键词： Grid-forming inverter low-frequency oscillation(LFO) modal resonance permanent magnet synchronous generator(PMSG) torsional oscillation virtual synchronous generator(VSG).

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Resonance Characterization and Frequency-divided Compensation Strategy for Heterogeneous Inverters-paralleled System

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Journal of Modern power Systems and Clean Energy 2025年第1期13卷 42-54页

作者： Hongbin Lin Pingjuan Ge Hailiang Xu Yuhan Duan the College of New Energy China University of Petroleum(East China)Qingdao 266580China the Key Laboratory of Control of Power Transmission and Conversion Ministry of EducationShanghai Jiao Tong UniversityShanghai 200240China

Currently,the dominant trend in new energy power supply systems is the heterogeneous inverters-paralleled system(HIPS),which is a combination of grid-following(GFL)and grid-forming(GFM)*** dynamic characteristics of different inverters in HIPS and the differences between GFL and GFM inverters undoubtedly increase the difficulty of the stability analysis and coordinated *** paper establishes an interactive admittance matrix model of HIPS,fully considers the interactive effects among different inverters,and explores the multi-dimensional resonance characteristics of HIPS by utilizing the modal analysis *** achieve the coordinated control and oscillation suppression among different inverters,a frequency-divided compensation strategy is proposed,which divides the operation modes of HIPS into three categories,i.e.,GFM,GFL,and hybrid ***,the frequency division boundary is determined based on the resonance characteristics of GFL and GFM inverters,with the operation modes of HIPS being dynamically adjusted according to the harmonic power ***,the simulation and experimental results demonstrate that the HIPS can flexibly adjust the operation modes to adapt to the complex conditions after adopting the frequency-divided compensation strategy and suppressing the oscillation frequency ratio to less than 2%,ensuring the safe and reliable operation of HIPS.

关键词： Grid-following(GFL)inverter grid-forming(GFM)inverter heterogeneous inverters-paralleled system(HIPS) frequency-divided compensation strategy

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Main Circuit's Parametric Optimal Design Counting Inconsistent Battery Parameters and control of 35 kV Large-Capacity Transformer-Less BESS

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IEEE Transactions on Energy conversion 2025年第1期40卷 16-29页

作者： Liu, Chang Shi, Xianqiang Li, Rui Cai, Xu Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Department of Electrical Engineering School of Electronic Information and Electrical Engineering Shanghai200240 China

A large quantity of battery cells are required by each phase of the 35 kV large-capacity transformer-less battery energy storage system (LCTL-BESS) based on cascaded H-bridge converter (CHBC) and the parameters of battery cells are inconsistent. The inconsistencies of battery parameters should be fully considered in main circuit parameter design to improve the system's adaptability to them, thus delaying the aging rate of battery and ensuring the safety and high efficiency utilization during the whole life cycle of battery. The cascaded number of power modules in per phase is the most important main circuit parameter of system and has a significant influence on system performance, which should be optimized by considering system efficiency and safety comprehensively. Since the system efficiency and safety evaluation model are closely related to inconsistent battery parameters, it is impossible to establish them under different number of power modules based on the detailed parameters of each battery cell. Therefore, a method to establish system efficiency and safety evaluation model based on the capacity distribution of the battery cells is proposed. The massive battery cell parameter identifications and data processing are avoided. Our proposed method provides theoretical guidance for the optimization design of main circuit for LCTL-BESS. Additionally, the power and energy balancing control of 35 kV LCTL-BESS are investigated, and a novel energy balancing control strategy among modules considering the DC link voltage and state of charge (SOC) are proposed under the nearest level modulation (NLM), which can promise both the balancing effect and AC side output performance. Finally, the validity of the proposed parameter design method and the control strategy are proved through off-line simulation model. © 1986-2012 IEEE.

关键词： Battery management systems

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An Adaptive MARL Large Model for Dispatch Strategy Generation in Logistics-Energy Spatiotemporal Coordination of Container Seaports

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IEEE Transactions on Smart Grid 2025年第3期16卷 2261-2277页

作者： Huang, Yiwen Huang, Wentao Li, Ran Huang, Tao Li, Canbing Tai, Nengling Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai200240 China Politecnico di Torino Department of Energy Turin10129 Italy

Logistics-energy coordination significantly enhances energy efficiency in electrified seaports. However, daily changes in environment data necessitate the re-implementation of optimization procedures, causing huge computational burdens. This paper proposes an adaptive multi-agent reinforcement learning (MARL) large model for logistics-energy spatiotemporal coordination of container seaports. The well-trained large model can directly generate optimal policy for each operating day from environment data without re-solving. To achieve this, a comprehensive logistics-energy coordination model is first established considering the spatial and temporal constraints of all-electric ships (AESs), quay cranes (QCs), auto guided vehicles (AGVs), and the seaport power distribution network (SPDN). The model is formulated as a Markov Decision Process (MDP). Then a MARL large model is developed, involving a hypernetwork mapping environment data to optimal policy, and special structures for both hypernetwork and agent policy networks to adapt to any number of daily arrival AESs. Additionally, a cascading action modification layer is designed to ensure correct action outputs within complex spatiotemporal constraints. A tailored training method with two acceleration strategies are developed for the large model. Case studies illustrate that the large model after training can automatically generate optimal policies with little to no fine-tuning, outperforming existing methods that require extensive solution time. © 2010-2012 IEEE.

关键词： Markov processes

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Adaptive Mitigation control for Wideband Oscillations of Offshore Wind Farms With MMC-HVDC System

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CSEE Journal of power and Energy Systems 2025年第1期11卷 208-216页

作者： Yiming Rao Jing Lyu Yifan Wang Xu Cai The Key Laboratory of Control of Power Transmission and Conversion Ministry of EducationShanghai Jiao Tong UniversityShanghai200240China Science and Technology Research Institute China Three Gorges CorporationBeijing101199China

With offshore becoming the main battlefield of wind power generation,modular multilevel converter-based high-voltage DC(MMC-HVDC)transmission technology has become an ideal solution for offshore wind power integration and received rapid ***,wideband oscillation events have seriously threatened stable operation of power *** far,existing oscillation mitigation methods are usually designed for specific oscillation cases and are not capable of mitigating wideband *** order to mitigate various oscillations adaptively,this article proposes an adaptive wideband oscillation mitigation control for MMC-HVDC system connected to offshore wind *** wideband impedance models of the wind farm side MMC(WFMMC)and offshore wind farm composed of permanent-magnetic synchronous generator-based wind turbine generators(PMSG-WTGs)are derived,respectively,which are verified by measured impedances from time-domain ***,a wideband oscillation mechanism is revealed by impedance-frequency *** this basis,an adaptive wide band oscillation mitigation control is proposed,and its working principle as well as implementation process are *** studies of a sub-/super-synchronous oscillation(SSO)event and a high-frequency oscillation(HFO)event of an offshore wind farm with MMC-HVDC system are carried out to verify effectiveness of the proposed adaptive wideband oscillation mitigation control.

关键词： Adaptive mitigation control MMC-HVDC offshore wind farm wideband oscillation

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A Cost-Oriented Score Evaluation Index to Align Probabilistic Forecasting and Uncertain Decision-Making in power Systems

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IEEE Transactions on power Systems 2025年第2期40卷 1981-1984页

作者： Yan, Xinyue Zhang, Haipeng Li, Ran Wan, Can Nengling, Tai Sun, Yongchao Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai200240 China Shanghai Jiao Tong University College of Smart Energy Shanghai200240 China Ministry of Education Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Shanghai200240 China Shanghai Non-Carbon Energy Conversion and Utilization Institute Shanghai200240 China Zhejiang University College of Electrical Engineering Hangzhou310027 China Southwest Branch of State Grid Corporation of China Chengdu610095 China

Existing research has shown the inconsistency between point forecasting and deterministic optimization, yet the consistency between probabilistic forecast indices and uncertain optimization has not been investigated. This letter fills this gap by undertaking scenario-based tests to reveal the mismatch and proposing a new cost-oriented score (COS) to indicate whether a probabilistic forecast can lead to a "better"decision-making performance in unit commitment and economic dispatch. © 1969-2012 IEEE.

关键词： Costs Probabilistic logic Forecasting Uncertainty Decision making Standards Indexes Optimization Predictive models Real-time systems

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Optimal Scheduling Approach for Virtual Capacity Augmentation of Muti-Distribution Transformer Area Based on Epsilon-Constraint Method 11th

Optimal Scheduling Approach for Virtual Capacity Augmentatio...

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11th Frontier Academic Forum of Electrical Engineering, FAFEE 2024

作者： Cai, Siye Chen, Guoyu Gu, Xiaoxu Liu, Zhanpeng Meng, Yuhang Fan, Shuai State Grid Shanghai Jiading Electric Power Company Shanghai201800 China Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9789819788156

In response to the evolving dynamics of electric energy substitution and the integration of distributed new energy sources, the distribution network’s supply form and load structure are undergoing significant transformations. This shift has precipitated a notable shortfall in distribution transformer area capacity resources, necessitating upgrades to accommodate the remaining capacity. Traditional solutions, such as expanding transformer capacity, not only escalate distribution network investment but also diminish transformer operating efficiency, inadequately addressing short-term heavy overload issues. As the electricity market liberalizes, an array of flexible resources is becoming available for grid interaction, prompting the development of demand response strategies and methods for flexible load management within distribution networks. This paper introduces a multi-objective optimal scheduling algorithm that incorporates various flexible resources and considers the potential of energy storage devices in transformer virtual capacity augmentation. Through epsilon-constraint method, a Pareto solution set is derived, from which a compromise solution is selected based on minimal deviation from the origin principle. The methodology demonstrates the feasibility of achieving dynamic transformer capacity augmentation across different areas, while balancing system regulation costs and customer satisfaction loss. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Distribution transformers

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Distributed Resource Transferable Regulation Capability Evaluation and Optimization Dispatch Strategy in Distribution Networks 11th

Distributed Resource Transferable Regulation Capability Eval...

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11th Frontier Academic Forum of Electrical Engineering, FAFEE 2024

作者： Jin, Yunjie He, Kangning Sun, Ying Meng, Yuhang Liu, Zhanpeng Fan, Shuai State Grid Shanghai Jiading Electric Power Company Shanghai201800 China Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9789819788156

The flexible regulation capability of distributed resources in the distribution network is limited by constraints such as network line capacity and node voltage. It is crucial to reasonably evaluate their transferable regulation capability and formulate optimization dispatch strategies to improve the flexibility of the distribution network. Firstly, based on the Distflow model, this paper establishes a distribution network model considering line flow constraints and node voltage constraints. Then, the distributed resource operation model is combined with the distribution network model, and optimization methods for evaluating the transferable up/down regulation capability of distributed resources are proposed for both single and multiple time periods. Furthermore, when the distribution network is given a target power regulation curve, an optimization dispatch strategy for coordinating distributed resources in the network is proposed. The effectiveness of the proposed methods is verified through case studies, providing a reference for the evaluation of regulation capability and the formulation of operation strategies for distributed resources in the distribution networks. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： power distribution networks

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Multi-objective Optimal Scheduling of Photovoltaic Storage and Charging Integrated System Based on NS-DBO Algorithm 11th

Multi-objective Optimal Scheduling of Photovoltaic Storage a...

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11th Frontier Academic Forum of Electrical Engineering, FAFEE 2024

作者： Zhao, Xin Li, Hengjie Zhou, Yun Feng, Donghan School of Electrical Engineering and Information Engineering Lanzhou University of Technology Lanzhou730050 China Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9789819788279

As an important part of smart grid optimization, the optimal scheduling of the integrated system of photovoltaic (PV) storage and charging is of great significance to reduce energy consumption and environmental pollution. The development goal of the system is not only to meet the basic needs of electricity supply, but also to improve economic benefits and environmental protection. This article proposes a multi-objective optimization scheduling model for PV storage and charging integration that comprehensively considers system operating costs and environmental protection. At the same time, the Non-Dominated Sorting-Dung Beetle Optimizer (NS-DBO) algorithm was used to solve the optimization model. Firstly, this paper establishes a mathematical model for the multi-objective optimal scheduling problem of the system. Then, according to the principles and steps of the NS-DBO, the solution set is continuously updated and a better solution is evolved through cyclic iteration. Finally, the effectiveness and superiority of NS-DBO in solving the multi-objective optimal scheduling problem of the system were verified through case analysis. The results indicate that the model can effectively reduce electricity costs and environmental pollution, and promote the optimized operation of photovoltaic storage and charging integrated systems. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： NS-DBO optimal scheduling Photovoltaic storage and charging

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A Trustworthy Cloud-Edge Collaboration Framework for Scheduling Distributed Energy Resources in Distribution Networks

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IEEE Transactions on Smart Grid 2025年第3期16卷 2691-2694页

作者： Jia, Qiangang Jiao, Wenshu Chen, Sijie Yan, Zheng Sun, Haitao Zhengzhou University School of Electrical and Information Engineering Zhengzhou450001 China Shandong University School of Electrical Engineering Jinan250100 China Ministry of Education Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Shanghai200240 China Taiyuan University of Technology College of Electrical and Power Engineering Shanxi Taiyuan030024 China Ministry of Education Key Laboratory of Cleaner Intelligent Control on Coal & Electricity Shanxi 030024 China

Integration of distributed energy resources, such as photovoltaics, has expanded rapidly within power distribution networks in recent years. Existing management architectures face great challenges in balancing data security and communication efficiency. To address this issue, the paper proposes a cloud-edge collaborative framework that caters to managing multiple distributed energy resources. Firstly, a two-stage structural design method is introduced to determine the optimal configuration of edge nodes for variable reduction. Secondly, a credit-based data interaction scheme considering inherent uncertainty of distributed energy resources is proposed to ensure trustworthy cloud-edge collaborative optimizations. The above work is expected to facilitate the in-depth application of cloud-edge collaboration in the energy scheduling field. © 2010-2012 IEEE.

关键词： Distributed energy

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