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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

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Group equivalent modeling and analysis of group subsynchronous oscillation of direct-drive wind turbine 5

Group equivalent modeling and analysis of group subsynchrono...

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5th IEEE International Electrical and energy Conference, CIEEC 2022

作者： Dong, Xuetao Zhao, Yue Zhai, Wenchao Wang, Zhenyang Liu, Kan Yan, Gangui Electric Power Research Institute of State Grid Xinjiang Electric Power Co. Ltd. Dept. Xinjiang Electric Power System Whole Process Simulation Key Laboratory Urumqi China Northeast Electric Power University Dept. Min. of Educ. Key Lab. of Modern Power System Simulation Control and Green Power Technology Jilin China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

Taking the direct drive wind farm connected to weak AC system as the research object, combined with the actual topology of a wind farm in Hami, Xinjiang, this paper establishes the detailed model and cluster aggregation model of direct drive wind farm on PSCAD / EMTDC platform, and comprehensively analyzes the effectiveness of aggregation model under sub synchronous oscillation (SSO). The results show that when SSO occurs, the cluster equivalent model can accurately reflect the output characteristics, damping characteristics and oscillation frequency of the wind farm. According to the actual topology of a wind power collection station in Hami, Xinjiang and the actual operation of a wind power collection station on a certain day, the equivalent clustering is carried out. © 2022 IEEE.

关键词： Wind power

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

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

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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

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Ultrathin microcrystalline hydrogenated Si/Ge alloyed tandem solar cells towards full solar spectrum conversion

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Frontiers of Chemical Science and Engineering 2020年第6期14卷 997-1005页

作者： Yu Cao Xinyun Zhu Xingyu Tong Jing Zhou Jian Ni Jianjun Zhang Jinbo Pang Key Laboratory of Modem Power System Simulation and Control&Renewable Energy Technology Northeast Electric Power UniversityJilin 132012China School of Electrical Engineering Northeast Electric Power UniversityJilin 132012China School of Chemical Engineering Northeast Electric Power UniversityJilin 132012China Key Laboratory of Photo-electronics Thin Film Devices and Technique of Tianjin Institute of Photo-electronic Thin Film Devices and TechnologyCollege of Electronic Information and Optical EngineeringNankai UniversityTianjin 300350China Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong Institute for Advanced Interdisciplinary Research(iAIR)University of JinanJinan 250022China

Thin film solar cells have been proved the next generation photovoltaic devices due to their low cost,less material consumption and easy mass *** them,micro-crystalline Si and Ge based thin film solar cells have advantages of high efficiency and ultrathin absorber *** individual junction devices are limited in photoelectric conversion efficiency because of the restricted solar spectrum range for its specific *** this work,w e designed a nd simulated a multi-junction solar cell with its four sub-cells selectively absorbing the full solar spectrum including the ultraviolet,green,red as well as near infrared range,respectively.B y tuning the G e content,the record efficiency of 24.80%has been realized with the typical quadruple junction structure of a-Si:H/a-Si0.9Ge0.1:H/μc-Si:H/μc-Si0.5Ge0.5:*** further reduce the material cost,thickness dependent device performances have been *** can be found that the design of total thickness of 4μm is the optimal device design in balancing the thickness a nd the *** the design of ultrathin quadruple junction device with total thickness of 2μm is the optimized device design regarding cost and long-term stability with a little bit more reduction in *** results indicated that our solar cells combine the advantages of low cost and high *** work may provide a general guidance rule of utilizing the full solar spectrum for developing high efficiency and ultrathin multi-junction solar cells.

关键词： thin films solar cells quadruple junction solar cell amorphous silicon silicon germanium alloy quantum efficiency

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Neural Network technology Applied in Fault Detection and simulation of power systems 8

Neural Network Technology Applied in Fault Detection and Sim...

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8th International Conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2024

作者： Hong, Zeqi Huang, Libin Hu, Yufeng Guo, Haiping Lu, Yuanhong Hu, Binjiang Zhang, Jingyue Luo, Hui Electric Power Research Institute China Southern Power Grid State Key Laboratory of Hvdc Guangzhou China National Energy Power Grid Technology R and D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Institute China Southern Power Grid Csg Key Laboratory for Power System Simulation Electric Power Research Guangzhou China

ISBN: (纸本)9798331506230

With the escalating demand for power inspection and equipment maintenance, developing effective algorithms for power system fault detection is crucial for ensuring the safety and stability of power systems. This paper leveragesthe Trellis network, enhanced with an attention module, to significantly improve the Trellis network's capability in recognizing power fault images, thus better addressing fault identification tasks within power systems. Through testing on a self-constructed dataset and comparative experiments with models such as DCNN, RCNN, and DenseNet, the proposed attention mechanismenhanced Trellis network algorithm has demonstrated its effectiveness and superiority in fault detection. © 2024 IEEE.

关键词： power distribution faults

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

SSRN

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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

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Info-Hkelm Wind power Short-Term Prediction Based on Wind power Low Output Event Identification and Multi-Scenario Error Compensation

SSRN

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SSRN 2023年

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

The penetration of a high percentage of renewable energy poses a challenge to the safe and stable operation of the power system, frequent wind power low output events have seriously affected power dispatch and power supply reliability, it becomes necessary to anticipate the occurrence of wind power low output events in advance and to develop effective supply assurance measures. In this paper, we propose a method for identifying and accurately predicting wind power low output events, firstly, we define wind power low output events and identify low output event types based on CNN-BiGRU. Secondly, A weighted clustering comprehensive assessment indicator is proposed to evaluate the effect of clustering of low output events, hybrid kernel extreme learning machine based on weighted mean of vectors algorithm optimization (INFO-HKELM) is used for preliminary prediction of low output events in different scenarios, and a multi-scenario error compensation mechanism based on similar fragment matching is proposed for further correction of power prediction results. The proposed method was applied to a wind farm in Inner Mongolia Autonomous Region for validation. Compared with the rest of the methods, the NRMSE of the method in this paper decreases by 1.56%~1.7%, NMAE decreases by 0.6%~1.11%, and R2 increases by 2.50%~2.92%. The multi-scenario error compensation mechanism reduces the NRMSE and NMAE of the preliminary power prediction results by 1.3% and 1.4%, respectively, which further improves the prediction accuracy and proves the effectiveness of the proposed method in this paper. © 2023, The Authors. All rights reserved.

关键词： Wind power

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Emergency Direct Current power Support for High-Percentage renewable energy systems Based on Deep Reinforcement Learning

SSRN

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SSRN 2024年

作者： Sun, Zhenglong Zhuang, Junzhi Chao, Pan Chao, Jiang Cai, Guowei The Department of Electrical Engineering Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

As a low-cost emergency frequency control method, emergency direct current power support (EPS) is crucial for frequency stabilization of alternating current (AC)–direct current (DC) hybrid systems. In the context of highly integrated renewable energy sources, the uncertainty of AC-DC hybrid systems increases and the inertia decreases during the transition process, and the existing EPS methods face prominent adaptation and mismatch problems in meeting the frequency restoration requirements. To fill this gap, this study proposes a deep reinforcement learning (DRL)-based EPS frequency control method. The EPS decision is transformed into a Markov decision process (MDP) and solved using the proximal policy optimization (PPO) algorithm. This paper designs a DRL reward function for EPS while taking into account the EPS line overload and phase change failure problems. In order to solve the contradiction between limited observation and global safety, this paper designs a data characterization method based on mechanism fusion. Meanwhile, this paper develops an open-source power system simulation platform with DRL control function by using Python and the power system simulation software DIgSILENT/powerFactory to realize the EPS frequency stabilization decision based on DRL control. Through a case study of the IEEE 39-bus system and a real power system in Northwest China, it is verified that the proposed DRL-based EPS agent is able to quickly, accurately, and securely restore the frequency and reduce the frequency oscillations while considering the security constraints. © 2024, The Authors. All rights reserved.

关键词： Reinforcement learning

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Research on Active Support control Strategy and its Performance of renewable energy power Station with Multiple energy Sources 7

Research on Active Support Control Strategy and its Performa...

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7th IEEE Conference on energy Internet and energy system Integration, EI2 2023

作者： Zeng, Guanming Tu, Liang Zhu, Yihua Hu, Yun Luo, Chao Li, Shengnan State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&d Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control For New Energy Power System Csg Key Laboratory For Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Csg Key Laboratory For Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control For New Energy Power System Guangzhou China Yunnan Power Grid Co. Ltd. Electric Power Research Institute Yunnan Kunming China

ISBN: (纸本)9798350345094

The increasing integration of renewable energy reduces the inertia and frequency support capacity of the power system. The issue of frequency stability has become one of the core issues in the security and stability of power system and the efficient consumption of renewable energy nowadays. To improve the performance of renewable energy power station (REPS), based on the analysis of typical active support control logic and relative performance requirements of REPS with single energy source (SES), an active support control strategy and coordinated control logic of active power of REPS with multiple energy sources (MES) are proposed in this paper. The performance of proposed strategy is theoretically analyzed from the aspect of dominant energy source and the effect of the capacity of energy storage. The effectiveness of the proposed strategy and the accuracy of the theoretical analysis of performance are verified by realtime simulation. © 2023 IEEE.

关键词： renewable energy

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The design and simulation of the 3MW direct drive wind turbine's controller to decrease vibration of the tower 32

The design and simulation of the 3MW direct drive wind turbi...

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32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017

作者： Zhenghou, Yang Guoqiang, Zhang Yuan, Wen Ying, Deng Beijing Huaneng Xinrui Control Technology Co. Ltd. Beijing102209 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Renewable Energy North China Electric Power University Beijing102206 China

ISBN: (纸本)9781538629017

Because the environment that the wind turbine runs in is severe, the generating efficiency is low and the vibration of tower is very obvious. The consequence not only causes economic loss but also lead to the reduction of the wind turbine's lifetime. Basing on the traditional PI controlling system, this passage mainly studies to decrease the vibration of the tower by adjusting the controlling PI parameters and adding the tower damper. Establishing the wind turbine's linear, constant, SISO model, selecting the controlling parameters by MATLAB simulation at different isolate wind speed to achieve stable and fast controlling. At different isolate wind speeds, adding the tower damper to decrease the acceleration of tower. At last making global simulation with Bladed to verify and compare the traditional PI strategy with the new strategy. The result of the simulation with Bladed shows the strategy decreases the vibration of the tower and protect the wind turbine. © 2017 IEEE.

关键词： Towers

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