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Wind power Ultra-Short-Term Prediction Method Based on Nwp Wind Speed Correction and Double Clustering Division of Transitional Weather Process

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SSRN 2023年

作者： Yang, Mao Guo, Yunfeng Huang, Yutong Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education [Northeast Electric Power University Jilin132012 China

Wind power prediction technology is important for building novel power systems with a high proportion of renewable energy. Numerical weather prediction (NWP) data quality has a significant impact on the accuracy of ultra-short-term wind power prediction (USTWPP). However, existing NWP do not reflect the adaptability of different weather processes, because of it’ s forecasting errors. In view of this, this paper proposes an USTWPP method based on NWP wind speed correction and transitional weather process division. The BILSTM-INFO-HKELM was first used to correct the NWP wind speed, and then the multiple clustering method was used to divide the transitional weather processes to establish a model for USTWPP based on different scenarios, the overall method was finally applied to a wind farm in west inner Mongolia, China. Compared to the pre-correction, the wind speed forecasted RMSE was reduced by 1.702 and the MAE by 1.366. Based on the wind power ultra-short-term prediction method proposed in this paper, the average reduction in RMSR is 4.96% and in MAE is 4.36% compared to the various comparison methods in this paper. The wind power ultra-short-term prediction method combining wind speed correction and double clustering division of weather scenarios can significantly improve prediction accuracy. © 2023, The Authors. All rights reserved.

关键词： Wind power

Resilience assessment and improvement for electric power transmission systems against typhoon disasters: A data-model hybrid driven approach

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arXiv

arXiv 2022年

作者： Yang, Rui Li, Yang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education [Northeast Electric Power University Jilin132012 China

In response to the damage to electric power transmission systems caused by typhoon disasters in coastal areas, a planning-targeted resilience assessment framework that considers the impact of multiple factors is established to accurately find the weak links of the transmission system and improve the system resilience. Firstly, this paper constructs the attenuation model of the wind field and the comprehensive failure model of the system, in which the model drive to establish the cumulative failure model of the transmission system is adopted, and multiple data-driven schemes to correct the cumulative failure rate by relying on the feature factor information of the transmission system is adopted. At the same time, an analytic hierarchy process-weighted arithmetic averaging (AHP-WAA) method is introduced to select the optimal data-driven evaluation scheme. Secondly, this paper adopts the impact-increment-based state enumeration (IISE) method to establish resilience indicators for systems and corridors separately. On this basis, the optimal promotion strategy is selected according to the construction difficulty, resilience improvement ability, and cost analysis. Finally, simulations on the IEEE RTS-79 system have been carried out considering the influence of the real typhoon scenarios, micro-topographic and transmission corridor information factors. The results demonstrate that the hybrid-driven system resilience assessment and improvement method can assist planners in accurately judging the resilience level of the system against typhoon disasters and selecting the best resilience improvement strategy based on the cost-effectiveness ratio. Copyright © 2022, The Authors. All rights reserved.

关键词： Analytic hierarchy process

A novel frequency regulation control strategy based on the external characteristics of PV generation

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A novel frequency regulation control strategy based on the e...

8th renewable power Generation Conference (RPG 2019)

作者： Gangui Yan Dan Wang Qi Jia Wenbo Hu Guoqing Zhou Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

Large-scale grid-connected PV generation results in the power system facing with the problem of reduced inertia and inadequate frequency regulation capability, which is urgent for PV generation to take participate in frequency regulation. In this paper, the research object is the double-stage PV generation, a novel frequency regulation control strategy based on the external characteristics of PV generation is proposed. f-U PV compensation is introduced into DC low-voltage control loop, which makes the DC low-voltage vary with the grid frequency, thus controlling the output power of PV generation. The influence mechanism of the control strategy on the frequency dynamic process of power system is also analysed based on the frequency response model (SFR). The results show that: the larger the ΔU PV generated by the f-U PV compensation unit, the more power of PV generation can be generated; the control strategy essentially affects the damping coefficient of the system, which not only affects the transient process of the system frequency, but also the steady-state frequency deviation.

关键词：

Coordinated control Strategy for Improving Frequency Stability of Lcc-Hvdc Sending-End system with Large-Scale Wind power

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SSRN 2024年

作者： Jiang, Shouqi Du, Yanli Li, Guoqing Xin, Yechun Wang, Lixin Wang, Weiru The Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

To improve the frequency stability of the LCC-HVDC sending-end system with high penetration of wind power the system and achieve optimal utilization of frequency regulation resources, a cooperative control strategy involving wind power and LCC-HVDC in frequency regulation is proposed. Firstly, under a variety of scenarios, the power support requirements of LCC-HVDC sending-end system are analyzed according to the power regulation margin of various frequency regulation resources and the disturbance power, and a multi-time scale frequency regulation control strategy for DFIG based wind farms is proposed, which combines the advantages of variable speed control and variable pitch angel control. And a cooperative control strategy of DFIG and LCC-HVDC considering the frequency regulation deadband is proposed. Then, based on the maximum power regulation margin of synchronous generators and wind farms, the key control parameters of relative control links are designed to enable them autonomously adjust the active power according to various scenarios to involve in inertia response and primary frequency regulation task. Finally, the effectiveness of the control strategy is verified by the simulation model of LCC-HVDC sending-end system with large-scale wind power, which significantly improves frequency stability. © 2024, The Authors. All rights reserved.

关键词： Frequency stability

Techno-Economic of Electric-Hydrogen-Ammonia Coupling in Mul-Ti-Scenario:Analysis of Seven Major Regions in China

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SSRN 2024年

作者： Kong, Lingguo Jia, Zhonghua Shi, Zhenyu Liu, Chuang Cai, Guowei Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

This paper evaluates the techno-economic aspects of electric-hydrogen-ammonia coupling systems across China's seven major regions, aiming to provide strategic guidance for energy transition and carbon neutrality. The operation of each plant was simulated with 1-hour wind power data from each region, and a specific control strategy was introduced to control the energy flow, taking into account all the costs of the system, with the objective of minimizing the levelized cost of ammonia (LCOA), to analyze the economics and equipment configuration of wind-powered hydrogen synthesis ammonia plants in each region. It finds that the Northwest and Southwest regions, owing to their abundant wind resources and lower costs, are more suitable for establishing such facilities. The levelized prices of ammonia in these areas can reach RMB 6,844 per ton and RMB 6,663 per ton, respectively, indicating the potential for development of these plants. In contrast, the high costs of wind and grid electricity, along with fewer wind utilization hours in the South China region, lead to a levelized ammonia cost of RMB 11,215 per ton, suggesting the unsuitability of this region for developing the system. The results underscore the importance of selecting appropriate new energy technology pathways based on geographical and economic conditions, critical for optimizing the energy structure and achieving carbon neutrality goals. © 2024, The Authors. All rights reserved.

关键词： Ammonia

Research on the Grid-connected Photovoltaic power Scheduling Strategy Considering the Flexible Load 3

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Research on the Grid-connected Photovoltaic Power Scheduling...

3rd International Conference on energy Engineering and power systems, EEPS 2023

作者： Meng, Tao Li, Chenggang Li, Dexin Zhang, Jiajun State Grid Jilin Electric Power Co. Ltd Electric Power Research Institute China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education School of Electrical Engineering Changchun China State Grid Jilin Electric Power Co. Ltd Electric Power Research Institute Changchun China

ISBN: (纸本)9798350313857

With the target of "peak carbon dioxide emission"and "carbon neutrality", the installed capacity of renewable energy power generation is increasing rapidly. To improve the absorption capacity of renewable energy, the frequency regulation ability of flexible load is considered. Diffusion strategy is an optimal strategy for the distributed multi-agent system. Considering the flexible load, the grid-connected photovoltaic power applies the diffusion strategy to optimize the scheduling strategy. The effectiveness of the proposed optimal algorithm is verified by a simulation example. The results show that the proposed algorithm can realize frequency regulation, and improve the installed capacity of photovoltaic power generation. © 2023 IEEE.

关键词： Multi agent systems

AC Network-Constrained Local Electricity Market Mechanism in Low-voltage Distribution Networks

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AC Network-Constrained Local Electricity Market Mechanism in...

2022 IEEE power and energy Society General Meeting, PESGM 2022

作者： Yang, Jiajia Yan, Gangui Yang, Yulong Chen, Guo Li, Chaojie Wen, Fushuan Northeast Electric Power University Ministry of Education Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China School of Electrical Engineering and Telecommunications University of New South Wales SydneyNSW2052 Australia School of Electrical Engineering Zhejiang University Hangzhou China Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Estonia

ISBN: (数字)9781665408233

ISBN: (纸本)9781665408233

This paper proposes a fully decentralized local electricity market mechanism backboned by a modified version of the Alternating Direction Method of Multipliers (ADMM). Comparing with the state-of-the-art peer-to-peer (P2P) market in local distribution systems, the proposed electricity trading mechanism comprehensively incorporates power network constraints formulated by an Alternating Current (AC) power flow model. In the proposed method, nodal voltages are designed as the only public variables shared among participants. Privacy of each participant is thus sufficiently preserved without exposing the bid data to the others. Meanwhile, the proposed method can also ensure the global optimality of social welfare in electricity transactions. Comprehensive case studies on the IEEE 33-node distribution system are conducted to demonstrate the feasibility and effectiveness of the proposed electricity trading mechanism. © 2022 IEEE.

关键词： power markets

Visualization of CNN Transient Voltage Classification Based on Feature Recognition and Enhancement

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Visualization of CNN Transient Voltage Classification Based ...

Sustainable power and energy Conference (iSPEC)

作者： Zhendong Li Yutian Liu Jun An Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (纸本)9781665414401

The deep learning algorithm represented by CNN has achieved remarkable results in complex feature extraction, classification and regression. Since the CNN adopts an end-to-end training process, the carrier of acquisition knowledge is a high-dimensional non-linear function, which is hard to understand by humans. Therefore, it is difficult to be widely used in online decision-making engineering scenarios such as the fast assessment of power system transient voltage stability. In this paper, the key input elements extracted by CNN are identified by Grad-CAM, and the key features captured by CNN in the assessment process are enhanced based on AM, so as to finally obtain the visual expression of key areas and variables of the original input data. Besides, a sample construction method based on single line diagram is proposed to improve the visualization effect of Grad-CAM and AM. simulation results and analyses of IEEE 39bus test system demonstrates the effectiveness of the proposed method.

关键词： Training Visualization simulation Data visualization Voltage power system stability Feature extraction

Fault Location Method for Dc Distribution Network Based on Compressed Sensing Group Sparse Representation

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SSRN 2024年

作者： Wang, He Liu, Yiqi Li, Shiqiang Yu, Huanan Bian, Jing Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Ministry of Education Jilin Province Jilin132012 China

The common faults in a direct current (DC) distribution network consist of pole-to-pole faults and pole-to-ground faults. Under conditions of sparse configuration of measurement devices, existing fault location methods are unable to simultaneously locate pole-to-ground faults and pole-to-pole faults, and issues such as indistinct fault characteristics under the influence of transition resistance and noise are encountered. In response to these challenges, a fault location method for DC distribution networks is proposed based on compressed sensing group sparse representation. Firstly, the pole-to-mode transformation is utilized to convert the positive and negative pole electrical quantities of the DC distribution network into zero-mode and one-mode electrical quantities. Equivalent circuits for pole-to-ground faults and pole-to-pole faults are established separately, enhancing the fault characteristics corresponding to the two different short circuit faults. Secondly, the obtained impedance matrices for zero-mode and one-mode are constructed into a group sparse dictionary. By utilizing compressed sensing group sparse representation, the sparse current vector of high-frequency mode quantities is obtained, enabling the correct identification of fault types and accurate location of fault sections. Finally, a simulation model of the DC distribution network is built on the PSCAD platform to validate the effectiveness of the proposed fault location method. © 2024, The Authors. All rights reserved.

关键词： Electric power distribution