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An Open-circuit Fault Diagnosis Method for power Switching Devices of DC Charging Piles of Electric Vehicles Based on Model Predictive control Strategy

An Open-circuit Fault Diagnosis Method for Power Switching D...

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Energy, Electrical and power Engineering (CEEPE), International Conference on

作者： Hongtao Li Mingchang Ding Yinghua Dong Yuan Li Chao Zhao Shuangqing Zhang State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Nanjing China

Aiming at the open circuit fault of power switching devices which is common in the DC charging pile of electric vehicles, a real-time fault diagnosis method of electric vehicle charging pile based on model predictive control is proposed in this paper. The model predictive current control method is adopted to replace the PI controller in the current loop of the traditional PWM rectifier. On this basis, the switch state of the rectifier applied under the open circuit fault of the power switching devices is compared with the optimal switch state obtained by model predictive control, and the fault feature signal is established to realize the fault diagnosis and positioning of the charging pile power switching devices. Since the fault feature signals of different power switching devices have no influence on each other, this method has significant effect on single tube, double tube, and multiple tube simultaneously fault. The simulation results verify the correctness and effectiveness of the proposed fault diagnosis method for charging piles.

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Development of a Grid Adaptability Evaluation Method for systems with Renewable Energy Connected to Weakly-Synchronized Sending-End DC power Grid

Development of a Grid Adaptability Evaluation Method for Sys...

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IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Yanzhang Liu Ning Chen Lingzhi Zhu Lei Zhang State Key Laboratory of Operation and Control of Renewable Energy &Storage Systems China Electric Power Research Institute Beijing China

With the increasing proportion of power electronic equipment, the inertia of power system continues to decrease, and the stability of synchronous power grid based on rotor operation equation has changed greatly. For the systems with renewable energy connected to weakly-synchronized sending-end DC power grid, due to overvoltage, oscillation and other problems, the operation risks of power grid are increased. At present, the existing monitoring methods are not able to obtain the in-depth information of grid connection adaptability and support capacity. A new grid adaptability evaluation method considering the SCADA data is proposed. According to the application scenarios, a multi-level architecture is designed, which carries out evaluation index calculation at the station-level for high real-time requirements, and transfers the results to superior-level for comprehensive analysis. The method can be popularized and applied to the grid operation monitoring of renewable energy, which may plays an important role in improving the stability of weakly-synchronized sending-end DC power grid.

关键词： Renewable energy sources Stability criteria Rotors power system stability power grids Real-time systems power electronics

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Modeling and Dynamic Performance Analysis of Grid Forming Doubly-fed Wind Turbine

Modeling and Dynamic Performance Analysis of Grid Forming Do...

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China International Electrical and Energy Conference (CIEEC)

作者： Xiaotong Zhang Shiyao Qin Shaolin Li Chen Qi State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

The doubly-fed wind turbine based on grid forming control has the ability to establish terminal voltage independently and maintain stability, but the quantitative analysis of grid-connected stability and dynamic performance is insufficient, which affects the engineering application. To solve this problem, a small signal analysis model of grid forming controlled doubly-fed wind turbine is established. And based on the oscillation mode and participation factor analysis, this essay finds out the dominant modes which are influenced by grid forming control and key control parameters. Furthermore, based on the root locus analysis, the influence of grid strength and key control parameters on the stability and dynamic performance of the system is revealed as well as the variation law. Finally, the simulation model of the grid forming doubly-fed wind turbine is built in MATLAB/Simulink, and the simulation proves the accuracy and effectiveness of the theoretical analysis, which is expected to guide the popularization and application of the grid forming doubly-fed wind turbine.

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Evaluation of Regulating Capacity of power System Nodes and Transmission Lines

Evaluation of Regulating Capacity of Power System Nodes and ...

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Smart Grid and Artificial Intelligence (SGAI), International Conference on

作者： Xiuyu Yang Zekun Fan Almasbek Shakenbek Baoyu Di Chongbi Li Yi Wang Key Laboratory of Modern Power System Simulation Control and New Green Energy Technology of Ministry of Education Northeasst Electric Power University Jilin China State Grid Xinjiang Electric Power Co. Ltd. State Grid Xinjiang Electric Power Co. Ltd. Electric Power Research Institute Urumqi China

ISBN: (数字)9798331518806

ISBN: (纸本)9798331518813

The large-scale access of renewable energy to the power grid leads to a sharp increase in the demand for power system regulation capacity. In order to solve this problem, this paper explores the mechanism of supply and demand balance of power system regulation capacity, analyzes the transmission characteristics of regulation capacity, and proposes the adequacy index of node regulation capacity and the adequacy index of network transmission regulation capacity. The Garver-6 node system is used to verify the effectiveness and practicability of the proposed method. The example shows that the proposed evaluation method can accurately identify the weak links of regulation ability and clarify the causes of insufficient regulation ability.

关键词： Renewable energy sources Supply and demand power transmission lines Evaluation models Regulation Smart grids Planning Artificial intelligence Load flow Capacity planning

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Economic Dispatch of Microgrid Generation-Load-Storage Based on Dynamic Multi-Level Game of Multiple Stakeholders

SSRN

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SSRN 2024年

作者： Mao, Yang Jinxin, Wang Xudong, Cao Dake, Gu Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin Province Jilin132012 China State Grid Changchun Power Supply Company Jilin Province Changchun130021 China

This paper establishes a dynamic multi-level game model based on multiple stakeholders such as microgrid, power grid, and users. Delineating the market functions of energy storage, considering the full life cycle investment and construction costs, leasing costs, and peak shaving ancillary service revenue, establish a net income model for energy storage investor. In the upper level, with energy storage investment companies as leaders and microgrid as followers, establish a master-slave game model for optimizing energy storage leasing prices, and formulate leasing strategies for energy storage. In the lower level, with microgrid operator as leaders and users as followers, a master-slave game model is established to devise scheduling strategies for microgrid and determine optimal electricity prices. The proposed model solves a multi-multi-level programming problem and presents a hybrid multi-strategy improved whale optimization algorithm based on simulated annealing, combined with the theory of fixed points to iteratively solve the optimization problems of the upper and lower levels until a converged optimal solution at the fixed point is obtained. Finally, through case studies, it is verified that the operational mode of energy storage as a market entity can bring higher economic benefits to multiple stakeholders such as microgrid and users. © 2024, The Authors. All rights reserved.

关键词： Iterative methods

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A New Energy power Grid Expansion Planning Technology Considering Optimal Economy 3

A New Energy Power Grid Expansion Planning Technology Consid...

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3rd International Conference on Green Energy, Environment and Sustainable Development, GEESD 2022

作者： Song, Xinfu Xin, Chaoshan Yu, Jin Yu, Zhiyong Shen, Danhua Ma, Junliang State Grid Xinjiang Electric and Technological Research Institute Xinjiang Wulumuqi830000 China Beijing Guantao Law Firm Beijing China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin Jilin132012 China

ISBN: (纸本)9781643683126

This paper examines the path of new energy development in China against the backdrop of carbon maximum and carbon neutralization, and studies the risk of large scale new energy power transmission. In order to solve the complex uncertainty challenges of renewables power and power grid expansion planning, this paper studies and proposes an optimal economic planning model, which includes the thermal power generation start-up and shutdown expenses during the operation, the hydro power generation expenses of surplus water of reservoir, and the curtail penalty cost of new energy output power, the investment of new planning lines. The model has also considered the constraints of balance for power generation and load consumption, the power change rate, and operation, which are calculated based on the time-series operation simulation of new energy power system. Based on the functions, the process of power grid planning technology has been proposed. The planning model proposed in this paper can consider the new energy power characteristics of generation, realize the optimal planning of different power grid schemes. According to the case study findings, the new transmission line can relieve the pressure of local new energy transmission, while also improving power flow distribution as well as the rate of new energy utilization. © 2022 The authors and IOS Press.

关键词： Expansion

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Transient voltage stability margin prediction method based on lightgbm 4

Transient voltage stability margin prediction method based o...

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4th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2021

作者： Jie, Zhang Binjiang, Hu Qi, Guo Yihua, Zhu Zhiyuan, Sun Mingpo, Li Yan, Sun Electric Power Research Institute CSG State Key Laboratory of HVDC China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China CSG Key Laboratory of Power System Simulation Guangzhou China Guangxi Power Grid Electrical Power Research Institute Nanning China Guangxi Power Grid Dispatching Control Center Nanning China

ISBN: (纸本)9781665415965

Traditional time-domain simulation method has long calculation time on transient voltage stability margin prediction problem, the direct method is difficult to adapt to the complex power grid model, and the deep neural network method requires a large data set. In this paper, we propose the method based on LightGBM, which has the advantages of appropriate model complexity and less training time demand. Based on a regional subsystem of Guangxi power Grid with more electrolytic aluminum load, and a power system transient voltage stability margin prediction model based on LightGBM is constructed. To solve the long tail distribution learning problem, target clipping and log transformation techniques are proposed to enhance the model. The effectiveness of them is verified by experiment results. And we propose a new metric, partial RMSE, to evaluate the performance of the model fitting the instability data. The experiment results also show that it has achieved better performance and training time than other machine learning models. © 2021 IEEE.

关键词： Forecasting

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Cooperative control Strategy of Regional Energy Storage and Thermal power Generation Considering Frequency Dynamic Response

Cooperative Control Strategy of Regional Energy Storage and ...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Junhui Li Zhenbo Yu Yang Zhao Jie Ma Xiaoliang Jiang Haozheng Yu Xingxu Zhu Cuiping Li Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China Development Planning Department State Grid Henan Electric Power Company Zhengzhou China Planning and Assessment Centre State Grid Henan Electric Power Company Zhengzhou China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

With the continuous promotion of the goal of “carbon peak, carbon neutral”, China is building a new type of power system in which the proportion of wind power/photovoltaic energy is gradually increasing, but the scenario of a high proportion of renewable energy will also bring the overall system frequency regulation pressure due to the shortage of frequency modulation(FM) capacity and other problems. This paper firstly quantifies the system frequency dynamic response(FDR) modeling under the scenario of high proportion of renewable energy, and derives the expression of the system overall frequency fluctuation characteristics; then according to the quantitative analysis results, it proposes the strategy of coordinating the conventional thermal power units with regional energy storage (ES) for joint frequency regulation, combining with regional ES for fast regulation and bidirectional response to meet the demand of system frequency regulation; finally, it carries out the case study with the northwestern regional grid, and the results show that the system frequency regulation reasonably meets the operational requirements and accurately verifies the validity of the proposed strategy.

关键词： Renewable energy sources Frequency modulation Wind energy Statistical analysis power system dynamics Thermal engineering Thermal analysis

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A DRL-enabled Adaptive Sparsity Promoting Wide-area Damping controller for power System with Time-delay and Packet Dropout

A DRL-enabled Adaptive Sparsity Promoting Wide-area Damping ...

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2023 Panda Forum on power and Energy, PandaFPE 2023

作者： Cao, Di Zhang, Guozhou Hu, Jiaxiang Hu, Weihao Huang, Yuehui Chen, Zhe State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Chengdu China School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China Aalborg University Department of Energy Technology Aalborg Denmark

ISBN: (纸本)9798350321173

This paper proposes a deep reinforcement learning (DRL) based adaptive sparsity promoting wide-area damping controller for power system. Different from traditional fixed wide-area control structure, the proposed method employs DRL algorithm to identify the optimal sparsity promoting control structure and obtain corresponding parameter settings under different operating conditions considering the time-delay and packet drop. simulation are carried out on 10-machine 39-bus system to demonstrate the effectiveness of the proposed approach. © 2023 IEEE.

关键词： Time delay

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Design and Implementation of a Cross-Platform Real-Time power System simulation Software for the New power system

Design and Implementation of a Cross-Platform Real-Time Powe...

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Intelligent power and systems (ICIPS), International Conference on

作者： Ying Huang Yuanhong Lu Jingyue Zhang Jie Zhan Yanjun Zhao Yufeng Hu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou 510663 China Southern Power Grid Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou 510663 China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou 510663 China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou 510663 China Southern Power Grid Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou China

ISBN: (数字)9798331532765

ISBN: (纸本)9798331532772

With the rapid increase in renewable energy installation nodes and the substantial enhancement of switching frequencies in the new power system, this paper proposes a design scheme for a cloud simulation software that employs the Latency Insertion Method (LIM) to decompose large-scale new power system models into several subsystems, enabling multi-platform integrated parallel computing. The self-developed platform meets the demands of ultra-large simulation scales, ultra-small simulation time steps, and massive simulation computations in power systems. Experimental results demonstrate that the accelerated simulation technology, which integrates model segmentation using LIM with multi-core parallel execution, can enhance the simulation speed by up to 858 times while maintaining simulation accuracy. This significantly improves simulation efficiency and is suitable for large-scale simulations of new power systems.

关键词： Renewable energy sources Accuracy Computational modeling Switching frequency Software algorithms Random access memory Parallel processing Software Real-time systems power systems

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