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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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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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Research on Current Balance control of Off-Grid Inverter with Asymmetric Load

Research on Current Balance Control of Off-Grid Inverter wit...

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China International Conference on Electricity Distribution, CICED

作者： Tongfei Cui Fang Fang Xiaojun Li Tengkai Yu Qi Zhang Jingyuan Dong Hebei Key Laboratory of Energy Internet Simulation Modeling and Control State Grid Hebei Electric Power Research Institute Shijiazhuang China Operation and Maintenance Department Pingxiang County power supply branch company State Grid Xingtai Power Supply Company Xingtai China

ISBN: (数字)9798350368345

ISBN: (纸本)9798350368352

Off-grid inverters can maintain the current output balance even when the load is asymmetrical, which is very important for the efficient and economical operation of the micro-grid system composed of new energy. In this paper, a single three-phase voltage source inverter with unbalanced load is taken as an example to study the unbalanced mechanism, and a simple and effective current balance control strategy is proposed. Firstly, the current output characteristics of off-grid inverter are analyzed when the load is asymmetric. Then, a negative sequence component extraction method based on SOGI is adopted, and an unbalanced current suppression method is designed on the basis of this extraction method. Finally, the PLECS simulation model is used to verify the results. The results show that this strategy can effectively suppress the output current distortion caused by load asymmetry, and obtain high quality current output waveform.

关键词： Current control Fluctuations Voltage source inverters Distortion Voltage control Frequency control Load modeling

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Design and Implementation of power System simulation Platform Based on Cloud Computing

Design and Implementation of Power System Simulation Platfor...

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

作者： Yuanhong Lu Haiping Guo Yanjun Zhao Libin Huang Binjiang Hu Hui Luo Jingyue Zhang National Energy Power Grid Technology R&D Centre Guangzhou China 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

ISBN: (数字)9798331518066

ISBN: (纸本)9798331518073

power system simulation involves simulating the operating states and dynamic processes of power systems using mathematical models and computer technology to analyze and predict system behavior. Traditional simulation methods struggle to meet the needs of large-scale, complex power grids due to significant demands for computational resources. Cloud computing, with its high scalability, resource pooling, and on-demand services, is ideally suited for the extensive simulation calculations required by modern power systems. Despite its advantages, the application of cloud computing in power system simulation poses challenges related to data security and privacy, particularly in collaborative simulations involving multiple power entities. This paper presents the design and implementation of a cloud computing-based power system simulation platform. The proposed platform leverages the distributed computing capabilities of cloud computing, integrates federated learning to ensure data privacy, and utilizes advanced power system simulation technologies. This approach significantly enhances simulation efficiency and accuracy while providing data security and privacy protection. The platform offers reliable decision support for power system planning, operation, and control.

关键词： Cloud computing Data privacy Accuracy Federated learning Data security power system simulation power system dynamics power system stability power grids Testing

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Combating air pollution significantly reduced air mercury concentrations in China

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National Science Review 2024年第9期11卷 202-212页

作者： Xinbin Feng Xuewu Fu Hui Zhang Xun Wang Longyu Jia Leiming Zhang Che-Jen Lin Jen-How Huang Kaiyun Liu Shuxiao Wang State Key Laboratory of Environmental Geochemistry Institute of GeochemistryChinese Academy of Sciences University of Chinese Academy of Sciences Air Quality Research Division Science and Technology BranchEnvironment and Climate Change Canada Center for Advances in Water and Air Quality Lamar University State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University College of Environmental Science and Engineering North China Electric Power University

In the past decade, China has motivated proactive emission control measures that have successfully reduced emissions of many air pollutants. For atmospheric mercury, which is a globally transported neurotoxin,much less is known about the long-term changes in its concentrations and anthropogenic emissions in China. In this study, over a decade of continuous observations at four Chinese sites show that gaseous elemental mercury（GEM） concentrations continuously increased until the early 2010s, followed by significant declines at rates of 1.8%–6.1% yr-1until 2022. The GEM decline from 2013 to 2022（by38.6% ± 12.7%） coincided with the decreasing concentrations of criteria air pollutants in China and were larger than those observed elsewhere in the northern hemisphere（5.7%–14.2%）. The co-benefits of emission control measures contributed to the reduced anthropogenic Hg emissions and led to the GEM decline in China. We estimated that anthropogenic GEM emissions in China were reduced by 38%–50%（116–151 tons） from 2013 to 2022 using the machine-learning and relationship models.

关键词： atmospheric mercury long-term trend anthropogenic emission reductions co-benefits of clean air action

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Optimized operation method for AC-DC hybrid microgrid considering Dynamic efficiency and Maximum absorption power of battery

Optimized operation method for AC-DC hybrid microgrid consid...

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2022 International Conference on Informatics, Networking and Computing, ICINC 2022

作者： Dong, Wei Zhang, Xiaolin Yao, Guangxiu Lei, Jiazhi Liu, Zhao China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems Beijing China Nanjing University of Science and Technology School of Automation Nanjing China

ISBN: (纸本)9798350309690

As an important part of AC-DC hybrid microgrid, battery energy storage systems (ESSs) can improve the flexibility and economy of system operation. This paper presented an optimized operation method for AC-DC hybrid microgrid considering the dynamic efficiency and maximum absorption power of vanadium redox flow battery (VRB). Firstly, the model of dynamic efficiency and maximum absorption power for VRB ESSs were respectively established. And then, the structure of AC-DC hybrid microgrid was designed and the operation optimization method of AC-DC hybrid microgrid was reasonably constructed. Finally, the proposed optimized operation method for AC-DC hybrid microgrid was solved by particle swarm optimization. Case studies showed that dynamic efficiency and maximum absorption power of VRB ESSs have a great influence on the operation of AC-DC hybrid microgrid. © 2022 IEEE.

关键词： Particle swarm optimization (PSO)

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