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5th International Conference on Power and energy Technology, ICPET 2023

作者： Liu, Jiahao Zhang, Li Zhao, Bo Li, Xiangjun Beijing Information Science & Technology University School of Automation Beijing China State Key Laboratory of Contorl and Operation of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing China

ISBN: (纸本)9798350339673

As the variety and number of distributed generation (DG) in microgrid increases, the black start strategy of microgrid becomes more complex. A dynamic black-start strategy for microgrid based on online evaluation of DG black-start capability is proposed by considering the effects of state of charge (SOC) and DG output uncertainty. First, the index system is established from 2 levels of DG's own starting characteristics and surrounding environment characteristics for evaluating the power supply black start capability;Secondly, the assessment value of DG black start capability is calculated online using the combined subjective and objective evaluation method to determine the start sequence of each DG in the corresponding time period;Then, a line recovery mathematical model is established with the objective of shortest recovery path and most important load recovery, and DG active output forecast values are introduced for calculation to update the recovery path and recovery strategy for that time period;Finally, the effectiveness of the strategy was verified in a modified IEEE33 microgrid system. © 2023 IEEE.

关键词： black start strategy energy storage SOC fuzzy integrated evaluation method microgrid online evaluation

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Extraction and application of intrinsic predictable component in day-ahead power prediction for wind farm cluster

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energy 2025年 328卷

作者： Yang, Mao Jiang, Renxian Yu, Xinnan Wang, Bo Su, Xin Ma, Chenglian The Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing100912 China

With the continuous updating and iteration of artificial intelligence algorithms, prediction models emerge one after another, but the research and utilization of the predictability of wind power is still less. Therefore, this paper proposed a day-ahead power prediction method for Wind Farm Cluster (WFC) based on intrinsic predictable component extraction. Firstly, based on the difference of power distribution between wind farm and WFC, a method of Wind Power Curve (WPC) modeling for WFC is proposed, which provides the basis for establishing the Final Set of Wind Power Curve (FSWPC). Secondly, the Intrinsic Predictable Component (IPC) of wind power is extracted based on the FSWPC, and the Interference Component (IC) of wind power is separated to eliminate the influence of IC on IPC in the process of prediction. Thirdly, the historical similarity matching method with large threshold is used to predict the IC to make up for the numerical deficiency of the IPC. Finally, the proposed method was applied to a WFC in China to verify its effectiveness. Compared with the traditional prediction strategy, the NRMSE, NMAE and MAPE are reduced by 1.59 %, 1.15 % and 6.42 %, respectively. © 2025 Elsevier Ltd

关键词： Iterative methods

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Joint forecasting of regional wind and solar power based on attention neural network 5

Joint forecasting of regional wind and solar power based on ...

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5th IEEE International Electrical and energy Conference, CIEEC 2022

作者： Zhang, Yongrui Yan, Jie Han, Shuang Liu, Yongqian Song, Zongpeng North China Electric Power University School of New Energy Beijing China Renewable Energy Center China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems Beijing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

In the future high proportion of renewable energy grid-connected scenario, a large number of centrally developed wind farms and photovoltaic power stations will be integrated into the power system. There is a certain spatial and temporal correlation between wind and solar resources, which can provide additional information to help improve the power prediction accuracy. However, most of the existing wind and solar power prediction methods are focus on a single energy form, a single station or a single unit, which cannot fully and effectively reflect the space-time correlation between wind and solar resources. In addition, a single-field power prediction is no longer well enough to meet the needs of grid dispatching agencies. On the one hand, the power system as a whole, the dispatchers are more concerned about the total amount of uncertainty in the wind and solar power prediction;on the other hand, in order to make reasonable dispatch to the grid and avoid some off-grid events, the cluster power prediction is needed. Therefore, this paper proposes a joint forecasting method of regional wind and solar power. With NWP wind speed, irradiance and temperature data of several wind farms and photovoltaic power stations as input and measured power data as prediction target, based on the attention neural network algorithm, constructs a joint forecasting model which can reflect the spatial-temporal correlation of regional wind and solar resources. The proposed method is verified with the data of 8 wind farms and 7 photovoltaic power stations. The analysis results show that the proposed model can not only improve the power prediction accuracy, but also obtain the power prediction results of each target stations at the same time, which reduces the workload and has certain engineering application value. © 2022 IEEE.

关键词： Wind farm

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Voltage Fluctuation and Ripple Analysis Method for DC Grid Connected PV Converter 18

Voltage Fluctuation and Ripple Analysis Method for DC Grid C...

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18th International Conference on AC and DC Power Transmission, ACDC 2022

作者： Zengyao, Tian Dongwei Lidan Xiaodi, Qin Northeast Branch State Grid Corporation of China Shenyang China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing China

ISBN: (数字)9781839537615

ISBN: (纸本)9781839537615

With the development distributed photovoltaic (PV) sources and DC loads,DC system will play an important role in large-scale distributed PV sources connecting to grid. The DC voltage of the system will also be affecting by voltage pulse and high-frequency ripple caused by PV converters. However, due to the relatively small scale of the DC system with PV connected, not enough attention has been paid. Based on the mechanism of power quality problems caused by PV, this paper presents a complete analysis method based on stationary wavelet transform (DWT) and FFT. This method is more stability and accurate than the voltage fluctuation and ripple evaluation method. It can analyse power quality problems causing by DC connecting PV converters from multi time scale, which is suitable in the future of complex DC system. Finally, the simulation case of distributed PV grid connection shows that the method is feasible and practical. © ACDC 2022. All rights reserved.

关键词： Fast Fourier transforms

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Optimal guidance strategy for flexible load based on hybrid direct load control and time of use

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Global energy Interconnection 2023年第3期6卷 297-307页

作者： Siyang Liu Yuan Gao Hejun Yang Xinghua Xie Yinghao Ma State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems China Electric Power Research InstituteBeijing 100192P.R.China Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving Hefei University of TechnologyHefei 230009P.R.China

The time-of-use(TOU)strategy can effectively improve the energy consumption mode of customers,reduce the peak-valley difference of load curve,and optimize the allocation of energy *** study presents an Optimal guidance mechanism of the flexible load based on strategies of direct load control and ***,this study proposes a period partitioning model,which is based on a moving boundary technique with constraint factors,and the Dunn Validity Index(DVI)is used as the objective to solve the period ***,a control strategy for the curtailable flexible load is investigated,and a TOU strategy is utilized for further modifying load ***,a price demand response strategy for adjusting transferable load is proposed in this ***,through the case study analysis of typical daily flexible load curve,the efficiency and correctness of the proposed method and model are validated and proved.

关键词： Flexible load Optimal demand response strategy Time of use Period partitioning Direct load control

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Optimal Frequency control Parameters Design of Wind Farm Considering Wind Turbine Grouping 6

Optimal Frequency Control Parameters Design of Wind Farm Con...

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6th IEEE Conference on energy Internet and energy System Integration, EI2 2022

作者： He, Jing Zhang, Yubo Yang, Songhao Li, Chunyan Hao, Zhiguo China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems Beijing China Xi'an Jiaotong University State Key Laboratory of Electrical Insulation and Power Equipment Xi'an China

ISBN: (纸本)9798350347159

Wind farms play an increasingly important role in frequency control of the power system, but the identical wind speed assumption is oversimplified for the actual wind speed distribution difference in large-scale wind farms. This paper proposes a method of designing optimal frequency control parameters for wind farms considering wind turbine grouping. Firstly, the influence of wind speed on the frequency control capability of the wind turbine is analyzed and the principle of wind turbine grouping is proposed. Then, the equivalent frequency response model of grouped wind turbines is derived based on the capacity weighted method, which significantly reduces the calculation burden. Finally, to maximize the frequency nadir of the power system, the optimal frequency control parameters of the grouped wind turbines are solved based on the particle swarm optimization algorithm. The simulation results verify the effectiveness of the proposed parameter optimization method, which effectively improves the frequency nadir of the system under the major power shortage disturbance. © 2022 IEEE.

关键词： Wind turbines

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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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Development of GPU-Based Efficient Simulation Module of Wind Farm 7

Development of GPU-Based Efficient Simulation Module of Wind...

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7th IEEE International Conference on Power and renewable energy, ICPRE 2022

作者： He, Jing Meng, Linghan Zhao, Haoran Li, Bing China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems Beijing China Shandong University School of Electrical Engineering Jinan China

ISBN: (数字)9781665450638

ISBN: (纸本)9781665450638

The dynamic simulation of the wind farm is important for the construction of a modern renewable energy system. However, for the multi-coupled complex wind farm model, the current wind farm simulation tool is not high efficient enough. Towards this problem, this paper proposed a GPU-based accelerated wind farm simulation module based on ***. It focuses on parallelized optimizing the most time-consuming procedure over the calculation. This paper presents the parallelized algorithms for both the most time-consuming procedures (i.e., the gridded wind speed data traversing procedure and the wake plane traversing procedure). Also, the parallelized program for the two procedures is developed based on CUDA. The developed module is verified using a wind farm with 9 wind turbines in the case study. The result shows that its simulation efficiency is significantly improved compared with ***, whose speedup has reached 237. Also, the calculation accuracy of the proposed module is guaranteed. © 2022 IEEE.

关键词： Wind power

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Day-ahead Optimal Dispatch Model for Coupled System Considering Ladder-type Ramping Rate and Flexible Spinning Reserve of Thermal Power Units

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Journal of Modern Power systems and Clean energy 2022年第6期10卷 1482-1493页

作者： Longjie Yang Niancheng Zhou Guiping Zhou Yuan Chi Ning Chen Lei Wang Qianggang Wang Dongfeng Chang State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing UniversityChongqing 400044China State Grid Liaoning Electric Power Company Limited Shenyang 110006China State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems(China Electric Power Research Institute) Nanjing 210003China Xi’an Thermal Power Research Institute Company Limited Xi’an 710054China IEEE

In northern China,thermal power units(TPUs)are important in improving the penetration level of renewable *** such areas,the potentials of coordinated dispatch of renewable energy sources(RESs)and TPUs can be better realized,if RESs and TPUs connected to the power grid at the same point of common coupling(PCC)are dispatched as a coupled ***,the definition of the coupled system is introduced,followed by an analysis on its ***,based on the operation characteristics of deep peak regulation(DPR)of TPUs in the coupled system,the constraint of the ladder-type ramping rate applicable for day-ahead dispatch is proposed,and the corresponding flexible spinning reserve constraint is further ***,considering these constraints and peak regulation ancillary services,a day-ahead optimal dispatch model of the coupled system is ***,the operational characteristics and advantages of the coupled system are analyzed in several case studies based on a real-world power grid in Liaoning province,*** numerical results show that the coupled system can further improve the economic benefits of RESs and TPUs under the existing policies.

关键词： Coupled system ladder-type ramping rate flexible spinning reserve day-ahead optimal dispatch deep peak regulation peak regulation ancillary services

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Research on Weight Allocation Method of renewable energy Consumption Responsibility Based on Subjective and Objective Comprehensive Decision-making 6

Research on Weight Allocation Method of Renewable Energy Con...

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6th IEEE Conference on energy Internet and energy System Integration, EI2 2022

作者： Na, Meng Xiaorong, Wang Baoju, Li Yong, Sun Jinping, Zhang China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems Beijing China State Grid Jilin Electric Power Company Limited Jilin China

ISBN: (纸本)9798350347159

In order to improve the enthusiasm of society to consume renewable energy power, in this paper, a weight allocation method of renewable energy consumption responsibility based on subjective and objective comprehensive decision-making is proposed. Based on various factors such as total electricity consumption, renewable energy consumption and profitability, this method adopts the combination of objective calculation and subjective evaluation to determine the weight index of consumption responsibility of various responsibility subjects, which provides a new realization approach and calculation basis for the allocation of consumption responsibility in provincial regions. The proposed method is verified by an example based on the registered market players of a provincial power grid. © 2022 IEEE.

关键词： Decision making

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