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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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Day-Ahead Reporting Strategy of a Wind power Plant Based on CEEMDAN-IPSO-LSTM

Day-Ahead Reporting Strategy of a Wind Power Plant Based on ...

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power Science and Technology (ICPST), IEEE International Conference on

作者： Dong Lv Yuan Wang Fei Xu Bing Zhang Hongye Wang Li He Hui Zhu Junhui Li China Three Gorges Renewables(Group) Co. Ltd Beijing China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation Tsinghua University Beijing China

In the new power system, the output of new energy power stations has strong volatility, which leads to huge deviation assessment expenditure. Therefore, based on the improved data preprocessing algorithm and deep learning algorithm, a day-ahead reporting strategy of wind power plants considering error prediction characteristics is proposed. Firstly, considering the historical real output and prediction error, the historical data is decomposed based on the complete noise-assisted ensemble empirical mode decomposition algorithm (CEEMDAN). Then, the components are introduced into the long short-term memory (LSTM) optimized by the improved particle swarm optimization algorithm (IPSO), and the components are reconstructed to obtain the original prediction curve and the error prediction curve. Finally, the empirical distribution function is used to revise the prediction error curve, and the original prediction curve and the error prediction curve are superimposed to obtain the final day-ahead report curve. The correctness and feasibility of the reporting strategy are verified by simulation analysis.

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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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Integrated Fuzzy control Strategy for Primary Frequency Regulation of Energy Storage System

Integrated Fuzzy Control Strategy for Primary Frequency Regu...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： YongHui Yang Ying Qiao Zongxiang Lu Yu Li Wei Ma State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments of Electrical Engineering Tsinghua University Beijing China State Grid Xinjiang Electric Power Company Limited Xinjiang China

Aiming at the problem that the proportion of new energy is gradually increasing and the frequency quality is getting worse, a comprehensive control strategy for primary frequency regulation of energy storage system based on fuzzy control is proposed. Firstly, the influence of energy storage virtual droop, virtual inertia and virtual negative inertia control on the frequency response of the system is analyzed, and the fuzzy control is used to realize the smooth switching and complementary advantages between the control modes; Then, the feedback control strategy of SOC is designed by using logistics function, and the self-recovery control strategy of energy storage SOC is introduced to make the energy storage SOC reach the ideal state and improve the frequency modulation ability of energy storage. Finally, the simulation results show the effectiveness of the proposed method.

关键词： Fuzzy control Time-frequency analysis Frequency modulation Switches System integration Maintenance engineering control systems

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Basic reason for the accumulation of charge on the surface of polymer dielectrics

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Science China Materials 2022年第10期65卷 2884-2888页

作者： Tianyu Wang Xiaofen Li Boya Zhang Dayu Li Jianbo Liu Guixin Zhang State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Key Laboratory of Advanced Materials(MOE) School of Materials Science and EngineeringTsinghua UniversityBeijing 100084China State Key Laboratory of Electrical Insulation and Power Equipment Xi’an Jiaotong UniversityShaanxi 710049China

Due to their outstanding electrical insulation performance,low energy loss and high reliability,polymer dielectrics are widely used in flexible electronics,capacitors and large-scale power transmission equipment[1–5].However,polymer dielectrics accumulate large amounts of charge on their surface during use,which causes local electric field distortion and induces flashover,explosion,and equipment damage[6–9].Although researchers have attempted to develop methods to reduce the accumulation of surface charge through material modification,such as plasma treatment[10],direct fluorination[11],and coating[7,9,12],each of these methods has drawbacks;thus,the bottleneck has yet to be overcome.

关键词：电荷量第一性原理计算聚合物表面电介质电场畸变深能级缺陷电荷测量电荷特性

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Critical link identification of power system vulnerability based on modified graph attention network

arXiv

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arXiv 2024年

作者： Wang, Changgang Wang, Xianwei Cao, Yu Li, Yang Lü, Qi Zhang, Yaoxin Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Northeast Electric Power University Jilin132012 China State Grid Tianjin Electric Power Company Tianjin300010 China

As the power grid expands and the proportion of renewable energy increases, the uncertainty and randomness of the power grid have increased, posing a threat to the security of system operation. It becomes crucial to identify the crucial links in the power grid to ensure its reliability during operation. Addressing the issues of slow identification speed and difficulty in meeting the actual operational requirements of traditional methods for identifying crucial links in the power grid, this paper proposes a method based on the Modified Graph Attention Network (MGAT) algorithm for identifying crucial link in the power grid. Firstly, combining complex network theory with actual power grid operational data, an evaluation index set is established. Subsequently, the MGAT is utilized to explore the mapping relationships between various indicators during power grid operation and the crucial links, forming a model for crucial link identification. Considering the requirements of training accuracy and efficiency, the original data is preprocessed to optimize the model. Next, through simulation, the original dataset is obtained for training, validation, and testing of the identification model. Finally, the proposed model is applied to an improved IEEE 30-node system and a real power grid. The results indicate the feasibility of the proposed method, with accuracy and speed surpassing traditional methods, demonstrating its practical engineering value. © 2024, CC BY-NC-ND.

关键词： Smart power grids

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