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2024 CPSS and IEEE International Symposium on Energy Storage and Conversion, CPSS and ISESC 2024

作者： Wu, Mingkang Feng, Xingyu Zhu, Yihua Wang, Chenchen Luo, Chao Li, Kai Electric Power Research Institute China Southern Power Grid Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangdong Province Guangzhou City China School of Electrical Engineering Beijing Jiaotong University Beijing China

ISBN: (纸本)9798350380514

As the grid strength gradually weakens, there is an urgent need to enhance the weak grid adaptability and precise control capability of photovoltaic-energy storage (PV-ES) systems. This paper analyzes the basic principles of the PV-ES virtual synchronous generator (PV-ES VSG) control scheme under the common DC bus. A flexible control scheme for grid-connected PV-ES systems is proposed based on DC-link voltage synchronization control (DVSC). Compared to existing PV-ES VSG control schemes, the proposed scheme can significantly improve the control flexibility of the energy storage and increase the diversity of its control algorithms, while maintaining similar power support capabilities and grid-connected performance. This improvement not only optimizes the performance of the energy storage unit in the power grid, but also reduces its burden and pressure on DC bus voltage control. Simulation results based on MATLAB/Simulink and the experiment results based on the Hardware-In-Loop (HIL) platform validate the effectiveness and rationality of the proposed scheme. The comparison with the PV-ES VSG also shows the advantages of the proposed scheme. © 2024 IEEE.

关键词： Synchronous generators

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Distributionally Robust Transmission Expansion Planning Considering Uncertainty of Contingency Probability

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Journal of Modern power systems and Clean Energy 2022年第4期10卷 894-901页

作者： Weilun Wang Mingqiang Wang Xueshan Han Ming Yang Qiuwei Wu Ran Li Key Laboratory of Power System Intelligent Dispatch and Control Ministry of EducationShandong UniversityJinan 250002China Department of Electrical Engineering Technical University of DenmarkRegion HovedstadenDenmark

The outage of power system equipment is one of the most important factors that affect the reliability and economy of power *** is crucial to consider the influence of contingencies elaborately in planning *** this paper,a distributionally robust transmission expansion planning model is proposed in which the uncertainty of contingency probability is *** uncertainty of contingency probability is described by uncertainty interval based on the outage rate of single *** epigraph reformulation and Benders decomposition are applied to solve the proposed ***,the feasibility and effectiveness of the proposed model are illustrated on the IEEE RTS system and the IEEE 118-bus system.

关键词： Benders decomposition distributionally robust equipment outage rate transmission expansion planning

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Effect of Positive Temperature Coefficient Materials on the AC Breakdown Strength and Dielectric Properties of Epoxy Composites 4th

Effect of Positive Temperature Coefficient Materials on the ...

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4th International Symposium on Insulation and Discharge Computation for power Equipment, IDCOMPU 2023

作者： Teng, Chenyuan Li, Shuo Zhou, Yuanxiang Zhang, Ling Zhang, Yunxiao Huang, Meng College of Information Engineering Zhejiang University of Technology Hangzhou310023 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing102206 China

ISBN: (纸本)9789819974122

In operation, the negative temperature coefficient (NTC) electrical resistivity characteristics of polymeric insulating materials causes DC electric field distortion within power equipment insulation and lead to the failure. The doping of positive temperature coefficient (PTC) ceramic particles can suppress the NTC characteristics of the composites, but the electrical properties under AC voltages are unrevealed. In this paper, epoxy composites (0–20 wt%) doped with polydopamine-coated PTC particles were prepared, whose AC breakdown strength and dielectric properties were tested. The results shows that the decrease of AC dielectric strength is smaller than that under DC voltages after the doping PTC particles, and the coating of polydopamine can enhance the AC dielectric strength. As the doping content increases, the dielectric constant and tanδ of the epoxy composites increases, and the maximum increase of dielectric loss power is about 2% of the loss power caused by the current-carrying conductor. The research provides a theoretical basis for the optimization of the insulating performance of the equipment under the AC-DC composite voltages. © Beijing Paike Culture Commu. Co., Ltd 2024.

关键词： Epoxy resins

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Multi-Type Electric Vehicle Schedulability Modeling Method based on User Charging Behavior Characteristics 11

Multi-Type Electric Vehicle Schedulability Modeling Method b...

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11th China International Conference on Electricity Distribution, CICED 2024

作者： Xue, Yinjuan Chen, Qifang Cai, Haiqing Xia, Mingchao Gu, Haohan School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798350368345

With the rapid proliferation of Electric Vehicles (EV s), effectively leveraging the regulation potential of EV charging loads has become a prominent issue. This paper proposes a multi-type EV schedulability modeling method based on the analysis of charging behavior characteristics of different user types. The model comprehensively considers the charging characteristics of various types of EV s, including private cars, ride-hailing vehicles, and taxis, utilizing a charging start-stop probability distribution model. Case studies demonstrate that this model can not only accurately reflect the charging demands of EV s but also provide valuable references for strategies involving EV fleet participation in grid regulation. © 2024 IEEE.

关键词： Charging stations

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Multi-Timescale Trading Strategy for Renewable power to Ammonia Virtual power Plant in the Electricity, Hydrogen, and Ammonia Markets

IEEE Transactions on Energy Markets, Policy and Regulation

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IEEE Transactions on Energy Markets, Policy and Regulation 2023年第4期1卷 322-335页

作者： Wu, Sirui Lin, Jin Li, Jiarong Liu, Feng Song, Yonghua Xu, Yanhui Cheng, Xiang Yu, Zhipeng Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Beijing100087 China Tsinghua University Sichuan Energy Internet Research Institute Chengdu610213 China University of Macau Department of Electrical and Computer Engineering Macau999078 China Tsinghua University Department of Electrical Engineering Beijing100087 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China

Renewablepower to ammonia (RePtA) is a prominent zero-carbon pathway for decarbonization. Due to the imbalance between renewables and production energy demand, the RePtA system relies on electricity exchange with the power grid. Participating in the electricity market as a virtual power plant (VPP) may help to reduce energy costs. However, the power profile of local photovoltaics and wind turbines is similar to those in the market, resulting in rising energy costs under the conventional strategy. Hence, we develop a multi-timescale trading strategy for the RePtA VPP in the electricity, hydrogen, and ammonia markets. By utilizing the hydrogen and ammonia buffer systems, the RePtA VPP can optimally coordinate production planning. Moreover, we find it possible to describe the trading of electricity, ammonia, and hydrogen in a unified timeframe. The two-stage robust optimization model of the electricity market is extended to multiple markets and solved by the column and constraint generation (CC&G) algorithm. The case is derived from an actual project in the Inner Mongolia Autonomous Region. Sensitivity analysis demonstrates the economic advantages of the RePtA VPP joining multiple markets over the conventional strategy and reveals the necessity of the hydrogen and ammonia buffer and reactor flexibility. © 2023 IEEE.

关键词： Ammonia

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Mechanism and Methods for Fault Recovery of Grid-Forming Inverter by Graphical Illustration

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IEEE Transactions on power systems 2025年第2期40卷 1973-1976页

作者： Yang, Jialun Ye, Hua Wang, Yantuan Liu, Yutian Li, Yujun Du, Zhengchun Shandong Research Institute of Industrial Technology Jinan250061 China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan250061 China Xi'an Jiaotong University Department of Electrical Engineering Xi'an710049 China

The existing priority-based current limiting control (CLC) for grid-forming (GFM) inverters may lead to failures in fault recovery, including being locked in CLC and mode oscillation between CLC and constant voltage control (CVC). To resolve these problems, this letter first reveals the fault recovery mechanism of droop controlled GFM inverters by illustrating the conditions of three fault recovery states in the phasor diagram. Then, two methods including determination of the optimal range of current angle and upper limit of saturation block are presented to guarantee successful fault recovery of GFM inverters. The correctness of theoretical analyses is verified and validated by multiple experimental tests. © 1969-2012 IEEE.

关键词： Fault current limiters

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Decision Support system for Adaptive Restoration control of Distribution system

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Journal of Modern power systems and Clean Energy 2022年第5期10卷 1256-1273页

作者： Lili Hao Yusheng Xue Ze Li Haohao Wang Qun Xu School of Electrical Engineering and Control Science Nanjing Tech UniversityNanjing 211816China State Grid Electric Power Research Institute(NARI Group Corporation) NanjingChina State Key Laboratory of Smart Grid Protection and Operation Control NanjingChina State Grid Qingdao Power Supply Company QingdaoChina

Aiming at the high-dimensional uncertainties of restoration process, an optimization model for distribution system restoration control is proposed considering expected restoration benefits, expected restoration costs, and security risks of the overall restoration scheme. In the proposed model, the effect of security control on restoration process is actively analyzed considering the security control costs of preventive, emergency, and correction controls. A two-layer decision support framework for distribution system restoration decision support system(DRDSS) is also designed. The upper layer of the proposed framework generates the pre-adjustment schemes of operation mode for energized power grid by load transfer and selects the optimal pre-adjustment scheme and the corresponding partitioning scheme based on the partition adjustment results of each pre-adjustment scheme. In addition, it optimizes the spatial-temporal decision-making of the inter-partition connectivity. For each partition, the lower layer of the proposed framework pre-selects the units and loads to be restored according to the pre-evaluated restoration income, generates the table of alternative restoration scheme for coping with uncertain events through simulation and deduction, and evaluates the risk and benefit of each *** the uncertain events in the actual restoration process, the current restoration scheme can be adaptively switched to a sub-optimal scheme or re-optimized if necessary. Meanwhile, the proposed framework provides an information interaction interface for collaborative restoration with the related transmission system. A 123-node test system is built to evaluate the effectiveness and adaptability of the proposed model and framework.

关键词： Distribution system restoration pre-adjustment of operation mode load transfer dynamic partitioning risk and benefit security control

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The electrical-Thermal Coupling Simulation of Grafted Polypropylene Used in High-Voltage Direct Current Cables 4th

The Electrical-Thermal Coupling Simulation of Grafted Polypr...

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4th International Symposium on Insulation and Discharge Computation for power Equipment, IDCOMPU 2023

作者： Fan, Yazhou Zhang, Wenjia Peng, Xiangyang Huang, Shangshi Li, Yinge Hu, Shixun Li, Qi He, Jinliang Guangdong Power Grid Company Limited Electricity Research Institute Guangzhou510062 China Department of Electrical Engineering The State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing100084 China

ISBN: (纸本)9789819974122

Under direct current (DC) operation conditions, local electric field in insulation layer will be distorted, leading to insulation failure. Since the conductivity of insulating materials generally corresponds positively with temperature, a temperature gradient will form inside the insulating material during cable operation, making the conductivity distribution uneven and causing the "electric field reversal" phenomenon in the cable insulation layer. The distribution of the electric field and temperature field of the polypropylene grafted as the cable insulation under the electric heating-coupling field is yet to be studied. Studies have proved that by grafting modification the insulating properties of materials can be improved. This paper studied the and conductivity characteristics of grafted polypropylene materials, and selected one type for more experiments to obtain the material's conductivity-temperature-electric field strength characteristic equation through data fitting. A model of a 100 kV DC cable was established in COMSOL, and simulation of the cable section’s electric heating-coupling field was performed, revealing the temperature and electric field distribution inside the insulation layer when the cable is rated, overloaded, or short-circuited. This paper can provide some reference for operational analysis of polypropylene-insulated HVDC cables. © Beijing Paike Culture Commu. Co., Ltd 2024.

关键词： Polypropylenes

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Analytical Representation of Data-driven Transient Stability Constraint and Its Application in Preventive control

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Journal of Modern power systems and Clean Energy 2022年第5期10卷 1085-1097页

作者： Yiwei Fu Xiaohua Zhang Lei Chen Zengyao Tian Kaiyuan Hou Haikuan Wang State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical EngineeringTsinghua UniversityBeijing 100084China State Grid Jibei Electric Power Company Beijing 100053China Northeast China Branch of State Grid Corporation of China Shenyang 110180China

Accurate transient stability assessment(TSA) and effective preventive control are important for the stable operation of power systems. With the superiorities in precision and efficiency, data-driven methods are widely used in TSA nowadays. Data-driven TSA model can be adopted in the stability constraints of preventive control optimization, but existing methods are mostly iteration-based ones, which may result in low efficiency, sometimes even non-convergence. In this paper,an analytical representation method of data-driven transient stability constraint is proposed based on a non-parametric regression model built for TSA. key feature extraction and dominant sample selection are proposed to reduce the scale of the TSA model, and bi-level linearization is applied to further modify *** preventive control model is then formulated as a mixed-integer linear program(MILP) problem with the linearized analytical data-driven transient stability constraint, which can be solved without iterations. An overall procedure of datadriven TSA and preventive control is finally developed. Case studies show that the proposed method has high accuracy in TSA and can achieve effective preventive control of power system with high efficiency.

关键词： Data-driven critical clearing time transient stability constraint non-parametric regression optimal preventive control

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Optimal power system Scheduling Considering Uncertainty-Induced Generation Unit Output Curtailment 25

Optimal Power System Scheduling Considering Uncertainty-Indu...

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25th IEEE China Conference on system Simulation Technology and its Application, CCSSTA 2024

作者： Hu, Wei Mi, Ning Zhong, Hailiang Chen, Weihan Ma, Kun Geng, Tianxiang Wang, Yun Su, Bo Yang, Long Tsinghua University State Key Laboratory of Power System and Generation Equipment Department of Electrical Engineering Beijing China Dispatching Control Center State Grid Ningxia Electric Power Co. Ltd. Yinchuan China Tsinghua University Department of Electrical Engineering and Applied Electronic Technology Beijing China

ISBN: (纸本)9798350366600

Under the call of the national 'dual carbon' goals, the growth of the proportion of new energy generation has become an inevitable trend in energy structure adjustment. The 'static parameter' model, which traditional thermal power units rely on, can no longer accurately reflect their output uncertainty, urgently requiring a new optimization scheduling strategy to cope with this change. This study proposes an optimized scheduling model for power generation systems that considers the output curtailment and unplanned outages of thermal power units. It employs non-parametric kernel density estimation techniques to model the uncertainty of thermal power unit output and uses chance constraints to define the fluctuation range of generation output and the system's reliability. The model adopts a scenario generation method based on Copula theory to construct output scenarios and further employs reduction techniques to optimize the number of scenarios. Moreover, this paper introduces Conditional Value at Risk as a key indicator to measure the cost of system uncertainty risk, thereby providing a more comprehensive perspective in risk assessment. Simulation experiments on the IEEE 30-node standard system demonstrate that compared to traditional optimization scheduling models relying on static parameters, the proposed model can more effectively balance the output fluctuations of different thermal power units, significantly reducing the risk of curtailment due to supply shortages. This study offers a new theoretical basis and practical guidance for optimizing the scheduling of power systems under the context of large-scale integration of new energy and economic fluctuations. © 2024 IEEE.

关键词： Chance Constraints Conditional Value at Risk Output Curtailment Scenario Generation

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