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6th International Conference on Energy, power and Grid, ICEPG 2024

作者： Yang, Xiuyu Li, Zhiwen Peng, Jian Miu, Gang Yuan, Shaowei Zhu, Zhengyin Northeasst Electric Power University Key Laboratory of Modern Power System Simulation Control and New Green Energy Technology Ministry of Education Jilin China State Grid Xinjiang Power Supply Company State Grid Urumqi Power Supply Company Urumqi City China

ISBN: (纸本)9798350377798

This study proposes a collaborative optimization configuration scheme of wind-solar ratio and energy storage based on the complementary characteristics of wind and light. On the premise of maintaining the stability of the wind-solar hybrid power generation system, the optimal allocation model of wind-solar ratio and energy storage considering the complementary characteristics of wind-solar is established with the minimum total cost of planning. At the same time, three indicators of power fluctuation index, wind-solar permeability and new energy abandonment rate are proposed to evaluate the scheme. © 2024 IEEE.

关键词： Windmill

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Robust control of Bidirectional power Converter in an AC/DC Hybrid Microgrid Based on the H∞Tracking Problem 4

Robust Control of Bidirectional Power Converter in an AC/DC ...

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4th International Conference on power and Energy Technology, ICPET 2022

作者： Guo, Tianyu Guo, Haiping Luo, Chao Miao, Lu Huang, Libin State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China China Southern Power Grid Csg Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China Electric Power Dispatching and Control Center of Guangdong Power Grid Guangzhou China

ISBN: (数字)9781665480796

ISBN: (纸本)9781665480796

The bidirectional power converter (BPC) in the ac/dc hybrid microgrid plays a vital role in maintaining the dynamic balance of power in the microgrid, achieving mutual support of power between the AC and the DC areas, and improving the power quality. In view of this, this paper proposes a robust control method for BPC in the ac/dc hybrid microgrid based on the H∞ tracking problem. First, based on the superposition theorem, the voltage control problem of the ac/dc hybrid microgrid is converted into a H∞ tracking problem for solution, and the robust controller is mathematically proved to exist stably. Then, the designed H∞ robust controller is reduced based on the principle of optimal Hankel norm approximation reduction. Finally, the simulation model is built based on the MATLAB/Simulink to verify the correctness and effectiveness of the proposed method. © 2022 IEEE.

关键词： Robust control

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Impact assessment for large-scale off-grid of renewable energy on weakly interconnected systems 6

Impact assessment for large-scale off-grid of renewable ener...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Li, Li Qin, Changlong Dong, Xin Qiao, Rongfei Yang, Jialun State Grid Jinan Power Supply Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350346671

Under the background of increasingly serious off-grid problems of renewable energy, this paper analyzes the impact of large-scale off-grid of renewable energy and voltage stability in the weakly interconnected system. First, an improved index is proposed based on Simpson formula for assessing transient voltage stability and achieving early warning of instability risk. Then, based on the simulation of a real-life UHV (Ultra-high voltage) weakly interconnected system, two typical cascading failure scenarios are reasonably anticipated. These cascading failures contain a series of renewable energy off-grid and blocking of DC transmission caused by different initial failures, whose voltage stability is evaluated by the proposed index. Besides, the nature of cascading failure evolution is analyzed. Finally, accuracy and efficient of the proposed index are verified. © 2023 IEEE.

关键词： Transients

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Preventive control Method of Improving Transient Voltage Stability for power system Based on the Attention of CNN

Preventive Control Method of Improving Transient Voltage Sta...

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2023 IEEE Sustainable power and Energy Conference, iSPEC 2023

作者： Li, Zhendong Yan, Jiongcheng Liu, Yutian Li, Li Qu, Hanbing The Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Jinan Power Supply Company Jinan China

ISBN: (纸本)9798350322699

The widespread integration of renewable generation and the changes in load structure bring significant challenges to the transient voltage stability of large-scale power systems. In order to achieve fast decision of preventive control for improving transient voltage stability, this paper proposes a preventive control method based on the attention of Convolutional Neural Network (CNN). An optimization decision model is established, which not only considers multiple traditional constraints but also introduces the model attention indicator based on Gradient-weighted Class Activation Mapping (Grad-CAM), enabling a more targeted improvement of transient voltage stability. The proposed indicator is capable of extracting the knowledge learned by CNN-based transient voltage assessment model, and utilizing it to guide the optimization decision-making of preventive control. Simulation results of provincial grid of eastern China demonstrate that the optimized control scheme can effectively enhance the transient voltage stability of power systems. © 2023 IEEE.

关键词： model attention indicator power system preventive control transient voltage stability

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Synchronization Stability Analysis of Wind Farms Integrated MMC-HVDC system

Synchronization Stability Analysis of Wind Farms Integrated ...

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2023 International Conference on power system Technology, powerCon 2023

作者： Li, Li Qin, Changlong Kan, Changtao Yang, Jialun Li, Guanqun State Grid Jinan Power Supply Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350300222

High-voltage direct current (HVDC) based on modular multilevel converter (MMC) is an efficient way to integrate wind farms. However, following short-circuit fault on transmission line, wind turbines (WTs) may lose synchronization with sending-end MMC. As a result, delivery and consumption of wind power are under risk. This paper investigates the mechanism of synchronous instability of wind farm integrated MMC-HVDC system under the severe grid faults. First, a synchronization stability model of the whole is stablished, the existing of stable equilibrium points (SEPs) and the damping characteristic of the whole system are analyzed. Then, a synchronization stability enhancement strategy is proposed based on the coordination of WT and MMC. Last, the effectiveness of proposed strategy is verified by time-domain simulation. © 2023 IEEE.

关键词： Transient analysis

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Research on Hybrid Active power Filter and Its control and Protection system for LCC-HVDC 11

Research on Hybrid Active Power Filter and Its Control and P...

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11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023

作者： Chao, Wujie Dai, Liyu Huang, Junwei Chen, Mingquan State Grid Fujian Electric Power Research Institute Fuzhou350007 China Fujian Key Laboratory of Protection and Operation Control for Smart Grid Fuzhou350007 China

ISBN: (纸本)9798350333664

Filters are key equipment in LCC-HVDC projects. It filters out characteristic harmonics generated by the converter and prevents the effect of harmonics generated by converters on the AC power grid. Currently, most DC transmission projects use passive filters. The first use of hybrid active power filters in the Fujian Guangdong DC interconnection project. This paper introduces the application framework, theory, control and protection system design of hybrid active power filters in LCC-HVDC projects. © 2023 IEEE.

关键词： Characteristic harmonics control and protection Hybrid active power filters LCC-HVDC

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Impact of Gale Weather Events on Wind power Generation 1

Impact of Gale Weather Events on Wind Power Generation

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2024 1st International Conference on Smart Grids and power systems, ICSGPS 2024

作者： Zhang, Yuanhe Yang, Ming Wang, Bo Li, Menglin Yu, Yixiao School of Computer Science and Engineering Shandong University Shandong province Jinan China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

Due to the influence of global warming, extreme wind weather occurs frequently, especially in extreme weather such as typhoons and cold waves, problems such as wind turbine shutdown, cutting out, and sudden changes in power generation power will occur, which brings great challenges to wind power forecast and safe and stable operation of the power grid. At present, the research and analysis of strong wind weather mostly stay at the single fan level, and the causes of abnormal changes in wind power output are mostly analyzed from the physical level. However, with the large-scale access of wind power to the power grid, the impact of extreme weather on power grid operation is becoming more and more significant, and it is particularly important to study the impact of strong wind weather events on wind power cluster output. This paper summarizes various types of wind power generation weather events, then screens key meteorological factors affecting power generation under different wind weather conditions based on Gaussian search and grey correlation weighting, and finally analyzes the meteorological impact on the actual operation of wind farm stations and clusters under typhoons and cold waves respectively, aiming at the problem of huge deviations in wind power forecast caused by wind. The next research direction and suggestions are put forward. © 2024 Published under licence by IOP Publishing Ltd.

关键词： Wind power

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Dynamic Economic Scheduling with Self-Adaptive Uncertainty in Distribution Network Based on Deep Reinforcement Learning

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Energy Engineering 2024年第6期121卷 1671-1695页

作者： Guanfu Wang Yudie Sun Jinling Li Yu Jiang Chunhui Li Huanan Yu He Wang Shiqiang Li State Grid Liaoning Electric Power Co. Ltd.Liaoyang Power Supply CompanyLiaoyang111000China Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China Jilin Northeast Electric Power University Science and Technology Development Co. Ltd.Jilin132012China

Traditional optimal scheduling methods are limited to accurate physical models and parameter settings, which aredifficult to adapt to the uncertainty of source and load, and there are problems such as the inability to make dynamicdecisions continuously. This paper proposed a dynamic economic scheduling method for distribution networksbased on deep reinforcement learning. Firstly, the economic scheduling model of the new energy distributionnetwork is established considering the action characteristics of micro-gas turbines, and the dynamic schedulingmodel based on deep reinforcement learning is constructed for the new energy distribution network system with ahigh proportion of new energy, and the Markov decision process of the model is defined. Secondly, Second, for thechanging characteristics of source-load uncertainty, agents are trained interactively with the distributed networkin a data-driven manner. Then, through the proximal policy optimization algorithm, agents adaptively learn thescheduling strategy and realize the dynamic scheduling decision of the new energy distribution network ***, the feasibility and superiority of the proposed method are verified by an improved IEEE 33-node simulationsystem.

关键词： Self-adaptive the uncertainty of sources and load deep reinforcement learning dynamic economic scheduling

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Modeling of Doubly Fed Wind power Generation system and Simulation Study on Grid-Connection Stability 4

Modeling of Doubly Fed Wind Power Generation System and Simu...

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4th International Conference on Intelligent power and systems, ICIPS 2024

作者： Zhang, Jingyue Zhang, Jie Hu, Yufeng Lu, Yuanhong Huang, Libin Zhao, Yanjun Guo, Haiping China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China China Southern Power Grid National Energy Power Grid Technology R & D Centre Guangzhou Guangzhou510663 China China Southern Power Grid Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou Guangzhou510663 China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China National Energy Power Grid Technology R & D Centre Guangzhou Guangzhou510663 China

ISBN: (纸本)9798331532765

Addressing the stability challenges posed by the unpredictability and intermittent nature of wind power output during grid integration, and aiming to enhance the understanding of factors influencing grid stability upon wind power system connection and to implement efficient control measures, a grid- connected model of a doubly fed induction generator (DFIG) was established utilizing a customized version of the RTRES (Real-Time power system Simulation) software, specifically designed for emerging power systems and aligned with wind farm realities. Stability simulations for grid connection were conducted under both voltage regulation mode and reactive power regulation mode across a range of wind speeds, revealing distinct technical behaviors. The findings suggest that the generator's terminal voltage, terminal current, active power, reactive power, and rotor speed exhibit strong correlations with variations in wind speed, and that all parameters are capable of stabilizing following initial disturbances. © 2024 IEEE.

关键词： Windmill

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Rolling Scheduling Strategy of Electric Vehicles Based on Dynamic Clustering and Variable Horizon 4

Rolling Scheduling Strategy of Electric Vehicles Based on Dy...

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4th International Conference on Artificial Intelligence and Electromechanical Automation, AIEA 2023

作者： Song, Sijin Liu, Yutian Tan, Zukuang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Shandong Jinan250061 China Hunan Electric Power Company Limited Economic and Technical Research Institute State Grid Changsha410004 China Hunan Key Laboratory of Energy Internet Supply-demand and Operation Changsha410004 China

ISBN: (纸本)9781510666412

The overall load profile tremendously changes due to the charging of abundant electric vehicles (EVs), which brings challenges to the active power balance of distribution network. To achieve smaller fluctuation of the interactive power between the distribution network and the bulk grid, a rolling scheduling strategy of EVs based on dynamic clustering and variable horizon is proposed in this paper. First, a clustering criterion for EVs is formulated to reduce the computational complexity, and the EVs are re-clustered after each scheduling. Then, the scheduling model considering the minimum variance of comprehensive load profile and the minimum charging cost is established, whose purpose is to optimize the charging and discharging plans of the EV clusters. The scheduling horizon is the variable continuous period, which is between the starting time of the current execution horizon and the departure time of each cluster. Finally, the simulation results of modified IEEE 33-bus system verify that, the optimal EV charging and discharging plan can perfectly coordinate with the photovoltaic output profile while maximizing user satisfaction, which significantly reduces the peak-valley difference of the equivalent load. © 2023 SPIE.

关键词： Electric power distribution

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