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The Function Mechanism of Virtual Impedance in Grid-forming Droop control and An Adaptive Parameter Tuning Method for Virtual Impedance Based on Network Equivalent Identification

The Function Mechanism of Virtual Impedance in Grid-forming ...

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

作者： Chenhui Fan Xiaohui Qin Lei Qi Hongzhi Liu Baodi Ding Zhengji Meng State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing China Carbon Neutrality Research Center of Power System China Electric Power Research Institute Beijing China Hebei Key Laboratory of Energy Internet Simulation Modeling and Control State Grid Hebei Electric Power Research Institute China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

The penetration rate of renewable energy and other power electronic sources in the system continues to increase, the strength of the power grid is weakened, and the system security is challenged. Some converters urgently need to adopt grid-forming control, for example, the droop control. However, due to the different impedance characteristics of the power system environment and the varying electrical distances between the grid source and load, the grid-forming converter cannot adapt to traditional droop control in multi-point parallel operation, this condition can be improved by adding virtual impedance. This paper first derives the main function mechanism of virtual impedance taking droop control as an example, and proposes a virtual impedance adaptive parameter tuning method based on network equivalent identification, then verifies the method through MATLAB/Simulink simulation. The proposal of this method is of great significance for reflecting the operational status of the system, improving the adaptability of renewable energy equipment and stations, and enhancing their fault ride-through ability. It also has important value for improving other grid-forming technologies.

关键词： Renewable energy sources Adaptive systems power system stability Stability analysis Impedance Security Proposals

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Optimised Configuration of Multi-Energy systems Considering the Adjusting Capacity of Communication Base Stations and Risk of Network Congestion

SSRN

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SSRN 2024年

作者： Yang, Dongfeng Wang, Xi Sun, Yong Yang, Jingying Liu, Xiaojun Jiang, Chao Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Jilin Electric Power Co. Ltd Changchun130000 China

The high percentage of renewable energy sources presents unprecedented challenges to the flexibility of power systems, and planning for the system's flexibility resources has become a necessary research area. Thus, this study constructs a flexibility quota mechanism and a two-stage model for the optimal configuration of multi-energy system coupling equipment to satisfy the growing demand for flexibility in city-level electricity-gas-heat-storage coupling systems. First, it examines the relationship between supply and demand for system flexibility, leading to the design of a flexibility quota mechanism. Subsequently, the power supply method for communication base stations shifts from direct networking to a hydrogen fuel cell supply. This flexibility quota mechanism encourages communication operators to actively engage in flexibility quota trading. Simultaneously, the safety constraints of heterogeneous energy-flow subsystems are considered while conducting comprehensive capacity planning for the coupling equipment of a multi-energy system. Finally, an optimisation strategy is proposed under the established capacity planning scheme for determining the siting and capacity of energy storage plants to address the potential transmission blockage risk in the power network. The case analysis utilised the IEEE 14-node grid-7-node gas network-8-node heat network test system, demonstrating that the constructed model enhances the system economy and mitigates transmission blockage risk, while enhancing the flexibility adjustment capability of the city-level multi-energy coupled system. © 2024, The Authors. All rights reserved.

关键词： Electric power transmission networks

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Time Interval Analysis on Calculation of Temperature Rise Rate of Lithium-ion Battery Thermal Runaway

Time Interval Analysis on Calculation of Temperature Rise Ra...

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2022 International Conference on Renewable Energy and Electrical Technology, ICREET 2022

作者： Shi, Xuewei Dong, Wenqi Gao, Fei Guan, Yibiao Liu, Jialiang Yang, Junfeng Yang, Tian Liu, Shiyang State Grid Jibei Zhangjiakou Wind and Solar Energy Storage and Transportation New Energy Co. Ltd Hebei Zhang Jiakou075000 China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing100192 China

The battery temperature rise rate is an important monitoring parameter to judge the safety state of the lithium-ion battery. However, there is little research on how to calculate the value of battery temperature rise rate, and there is a big difference in the temperature rise of battery calculated at different intervals, which affects the accurate judgment of the battery safety state. Therefore, in this paper, the temperature change of the battery surface during the thermal runaway process at the 0.5C rate is studied, four different temperature rise calculation intervals, such as 1s, 10s, 30s, and 60s, are set, and four different curves of temperature rise versus time of the battery are obtained. The value of the temperature rise inflection point before the thermal runaway of the battery obtained at different temperature rise calculation intervals is analyzed, and it is considered that the temperature rise data obtained at the temperature rise interval of the 30s under the experimental conditions set in this paper can be used as an effective monitoring parameter for the thermal runaway of the battery. © Published under licence by IOP Publishing Ltd.

关键词： Lithium-ion batteries

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An Energy Storage Scheduling Strategy Based on Computational Optimization Starting Point

An Energy Storage Scheduling Strategy Based on Computational...

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2022 power System and Green Energy Conference, PSGEC 2022

作者： Wang, Shangxing Fan, Gaofeng Hong, Lucheng Chen, Zehua China Electric Power Research Institute State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems Beijing China State Grid Corporation of China Beijing China Southeast University Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment Nanjing China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

With a large number of new energy sources connected to the grid, the inverse peak characteristics of their power generation have brought great difficulties to the grid scheduling. In recent years, energy storage technology has gradually developed and matured, and its dual characteristics of charge and discharge provide a new solution to the problem of new energy consumption. However, the current peak load shifting scheduling problem for energy storage is mainly solved by intelligent optimization algorithm, which has the disadvantage of low solving efficiency and the risk of falling into a local optimal solution. Therefore, this paper proposes a novel scheduling strategy based on computational optimization starting point for energy storage, which can provide an appropriate iterative starting point for intelligent optimization algorithm through the preset process. Compared with the randomly generated starting point, the calculated starting point can make the objective function tend to the extreme value more quickly and stably. Finally, in the case studies part, a system with solar power generation was taken as the example. The energy storage peak load shifting optimization problem was solved by adopting the calculated starting point and the random generated starting point respectively, and the effectiveness of the proposed strategy is proved by comparing the test results. © 2022 IEEE.

关键词： Energy utilization

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Active Distribution Network Energy Storage Planning Model for Reliability Requirements

Active Distribution Network Energy Storage Planning Model fo...

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power and Electrical Technology Conference (APET), Asia

作者： Yaqi Sun Wenchuan Wu Haotian Zhao Yujie Sheng Department of Electrical Engineering State Key Laboratory of Power Systems Tsinghua University Beijing China State Grid Fujian Electric Power Dispatching and Control Center State Grid Fujian Electric Power Co. Ltd Fuzhou China

ISBN: (数字)9798350367690

ISBN: (纸本)9798350367706

The integration of renewable energy sources into the power grid introduces significant volatility, which presents new challenges to maintaining reliable power supply. This increased volatility amplifies the demand for energy storage solutions within distribution networks. To address these challenges, this paper first develops an analytical reliability assessment model and embeds it into an energy storage configuration model. Then the model is converted into a Mixed-Integer Linear Programming (MILP) model for efficient solution. Case studies demonstrate that this approach can be used for energy storage planning according to different reliability requirements.

关键词： Analytical models Renewable energy sources power supplies Distribution networks Reliability engineering power grids Planning Mixed integer linear programming Active distribution networks Energy storage

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Autonomous Decentralized control of Distributed Generation using Multi-Agent Reinforcement Learning 11

Autonomous Decentralized Control of Distributed Generation u...

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11th International Conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022

作者： Liul, Jian Xul, Weifeng Liul, Zhijun Ful, Guanhua Jiang, Yunpeng Wang, Jun Zhejiang Electric Power Co. Ltd. Hangzhou Power Supply Company of State Grid Hangzhou310016 China Wuxi Research Institute of Applied Technologies Tsinghua University China Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Beijing100084 China

ISBN: (纸本)9798350399660

With the large-scale integration of distributed generations (DGs), a centralized control approach is being challenged concerning communication efficiency, resiliency to communication failure, privacy, and scalability. An autonomous decentralized control for DGs in distribution networks is proposed to ensure privacy while also reducing the computational burden. Meanwhile,a multi-agent reinforcement learning method considering privacy protection constraints is developed to solve the autonomous decentralized control problem. The effectiveness of the proposed control method is verified by the numerical example of the modified 141-bus distribution system test-feeder. © 2022 IEEE.

关键词： Distributed power generation

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Research on Operating System Runtime Jitter control Method for Electromagnetic Transient Real time simulation Calculation

Research on Operating System Runtime Jitter Control Method f...

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Computer Technology and Information Science (ISCTIS), International Symposium on

作者： Qi Guo Tianyu Guo Yuanhong Lu Haiping Guo Libin Huang Liang Tu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation 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

Real-time electromagnetic transient simulation can quickly analyze and solve the problems in complex large-scale power systems, realize accurate prediction and diagnosis of faults, and is a necessary means to promote the implementation of new power systems. However, the real-time simulation of electromagnetic transient puts forward strict requirements for the real-time performance of the underlying operating system. In this paper, the test method of system runtime jitter on Linux platform is designed, and the causes of jitter are analyzed based on the test results, and the control method of runtime jitter is studied. The experimental results show that the jitter of the system can be controlled in nanosecond level after using the methods of interrupt shutdown, CPU core binding and configuration of NOHZ_FULL, which can meet the needs of real-time simulation of electromagnetic transient.

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Nonlinear Optimal control Method for DC/DC Converters in DC Microgrid Based on the Differential Geometry Theory

Nonlinear Optimal Control Method for DC/DC Converters in DC ...

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IEEE Information Technology and Mechatronics Engineering Conference (ITOEC)

作者： Tianyu Guo Haiping Guo Liang Tu Libin Huang Yuanhong Lu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid 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

The DC/DC converter in the DC microgrid is the core device that supports the efficient grid connection of power electronic drive devices such as new energy generation units and energy storage devices. In view of this, this paper proposes a nonlinear optimal control method for DC/DC converters based on differential geometry theory, aiming at the nonlinear characteristics of the mathematical model of the converter. First, the topology structure of the DC microgrid is analyzed, and the mathematical model of the DC/DC converter is established; Secondly, the basic principle of power system nonlinear control based on differential geometry theory is discussed, and the nonlinear optimal controller for DC/DC converter is designed based on the accurate linearization method in differential geometry theory to quickly suppress power disturbance and realize the efficient grid connection application of power electronic drive equipment. Finally, the correctness and effectiveness of the proposed nonlinear optimal method were verified based on MATLAB/simulink.

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Research on Back-to-Back HVDC Additional Frequency Synchronous control Strategy Applied to Asynchronous Interconnected systems

Research on Back-to-Back HVDC Additional Frequency Synchrono...

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Sustainable power and Energy Conference (iSPEC)

作者： Qinlei Chen Libin Huang Shuyong Li Xuehua Lin Wencong Wu Mingkang Wu Liang Tu Qi Guo CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China State Key Laboratory of HVDC China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Southern Power Grid Guangzhou China

When regional power grid is asynchronized by high voltage direct current (HVDC) systems, the division of frequency regulation resources and reserve capacity weakens the system’s ability to resist load fluctuation and fault disturbance. With the continuous promotion of electricity market construction in China, the demand of building a unified frequency regulation auxiliary market for the whole power grid is increasingly frequent. In this paper, with the objectives of improving the overall frequency regulation performance of asynchronous interconnected systems and refers to the power transmission characteristics of AC transmission lines. The additional frequency synchronous control (AFSC) strategy of back-to-back HVDC was studied, which enables back-to-back HVDC to automatically adjust the transmission power based on the frequency difference on both sides. Then, taking Luxi back-to-back HVDC of China Southern power Grid (CSG) as an example, the specific implementation of AFSC strategy is studied, and the effectiveness of the proposed strategy is verified by real-time simulation. Finally, the on-site practical application of this strategy was analyzed.

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Application of deep reinforcement learning in power system scheduling strategy simulation

Application of deep reinforcement learning in power system s...

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

作者： Binjiang Hu Libin Huang Yufeng Hu Jie Zhang Haiping Guo Yuanhong Lu Zeqi Hong Jingyue Zhang Hui Luo Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou 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 CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (数字)9798331518066

ISBN: (纸本)9798331518073

With the increasing scale and complexity of power system, the current scheduling strategy methods often have the problems of limited adaptability and unsatisfactory results. Therefore, a power system scheduling method using DQN (Deep Q Network) is introduced in this study. This method uses neural network model to learn and optimize scheduling strategy, and has strong adaptability and enhanced global optimization ability. Comparative evaluations with genetic algorithms and particle swarm algorithms on IEEE-118 and SG-126 datasets show that the proposed method has significant advantages in terms of cumulative reward and stable runtime.

关键词： Electrical engineering Runtime Neural networks power system stability Deep reinforcement learning Stability analysis Real-time systems Particle swarm optimization Optimization Genetic algorithms

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