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Bald Eagle Search Algorithm for Parameter Identification of Proton Exchange Membrane Fuel Cell

FRONTIERS IN energy RESEARCH 2022年 10卷

作者： Yang, Bo Li, Danyang Zeng, Chunyuan Han, Yiming Li, Junhui Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China Faculty of Electric Power Engineering Kunming University of Science and Technology Kunming China

A precise and reliable proton exchange membrane fuel cell (PEMFC) parameter identification performs an essential function in simulation analysis, optimal control, and performance research of actual PEMFC systems. Unfortunately, achieving an accurate, efficient, and stable parameter identification can sometimes be problematic for traditional optimization methods, owing to its strong coupling, inherent nonlinear, and multi-variable characteristics. Therefore, an advanced bald eagle search (BES) algorithm is designed to dependably identify the unknown parameters of the electrochemical PEMFC model in this work. For evaluating and analyzing the overall optimization performance of the BES comprehensively, it is compared with the genetic algorithm (GA) based on MATLAB under three cases. According to the simulation results, the optimum root mean square error (RMSE) achieved by BES is 96.27% less than that achieved by GA in parameter identification, which fully indicates that the precision, accuracy, and stability of the optimization results can be remarkably improved via the application of BES.

关键词： proton exchange membrane fuel cell parameter identification bald eagle search algorithm metaheuristic algorithm MATLAB

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An Optimized control Strategy for Distributed energy Storage system to Reduce the Peak-valley Difference of Distribution Network 4

An Optimized Control Strategy for Distributed Energy Storage...

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4th IEEE China International Electrical and energy Conference, CIEEC 2021

作者： Saren, Gaowa Sun, Zhebin Liang, Tao Li, Hengzhen Liu, Pengxuan Ma, Dexuan Zhang, Hao Sun, Dapeng Yan, Jiaqi Li, Cuiping Li, Junhui Inner Mongolia Power Technology Research Institute Hohhot China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Jilin China

ISBN: (纸本)9781728171494

Accompanied by energy structure transformation and the depletion of fossil fuels, large-scale distributed power sources and electric vehicles are accessed to distribution network that result in the load peak-valley gap increasing. energy storage system (ESS) possessed the characteristics such as quick response, precise control and energy bidirectional flow. Therefore, the configuration of ESS in grid is a feasible measure to reduce the difference between peak load and valley load. This paper presents a superior control strategy that uses distributed energy storage to smooth load fluctuation of grid. Set the time scale to one day, constraints such as energy storage capacity, power and state of charge are taken into account, and the calculation examples are designed based on the proposed the evaluation index compares the effect of optimized control strategy given in this paper with the current common constant power strategy, which proves the feasibility and effect of the presented method. © 2021 IEEE.

关键词： simulation platform

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Antenna Design Based on Minkowski Like Fractal Structure 19

Antenna Design Based on Minkowski Like Fractal Structure

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19th International Conference on Optical Communications and Networks, ICOCN 2021

作者： Zheng, Xuemei Li, Songqi Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China College of Electrical Engineering Northeast Electric Power University Jilin China

ISBN: (纸本)9781665424462

Antenna is widely used in wireless communication equipment, which is developing towards miniaturization and high frequency. The application of fractal theory in antenna design can make the antenna more miniaturized and multifrequency, so the research of fractal microstrip antenna has very important theoretical significance and practical value. Based on Minkowski like fractal structure, a dual band fractal microstrip antenna is designed, which works in WLAN and WiMAX band. The center frequency is 2.4GHz and 2.7GHz, and the isolation near the center frequency is more than 15dB. © 2021 IEEE.

关键词： Fractals

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Learning-Based Model Predictive Secondary Frequency control of Pv-Ess-Ev Microgrid

SSRN

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SSRN 2024年

作者： Zhong, Cheng Zhao, Hailong Liu, Yudong Liu, Chuang Key Laboratory of Modern Power System Simulation and Control &Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin Province Jilin132012 China Northeast Electric Power University College of Electrical Engineering Jilin Province Jilin132012 China

Microgrids comprising photovoltaic (PV), energy-storage systems and electric vehicles have received increasing attention. However, the increase in renewable energy sources, such as PVs, will introduce uncertainty factors to the frequency response, resulting in frequency fluctuations that can reduce power quality. Hence, we propose an outstanding learning-based control approach that combines a model of physical principles with a Gaussian Process (GP) learning approach. The learning model corrects the physical principles model and estimates its uncertainty. simulations are performed by comparing the proposed controller with conventional model-predictive controllers. The results indicate that the learning-based controller proposed can adjust the frequency with less overshooting and a lower root mean square error compared to the conventional MPC control method. © 2024, The Authors. All rights reserved.

关键词： Model predictive control

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Generation method of anti-misoperation locking logic rules for substations based on typical wiring

Generation method of anti-misoperation locking logic rules f...

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IEEE Conference on energy Internet and energy system Integration (EI2)

作者： Jingxiang Zhang Hui Zou Hewei Hou Junhui Li Rongrong Ji Kaiyuan Duan Cuiping Li Xingxu Zhu Extra-High Voltage Branch Company of State Grid Zhejiang Electric Power Co. Ltd Hangzhou China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

At present, substations usually use electrical blocking facilities to achieve the function of anti-fault blocking, but new stations and new reconstruction and expansion stations have the problem of low efficiency in the compilation and review of anti-fault blocking logic rules, and also need a lot of manual debugging and checking time. In this paper, based on the typical substation wiring and anti-false blocking logic rules, the typical substation wiring library and the corresponding blocking logic library are constructed; then, the graphic editing module and graphic analysis module are constructed by combining the substation modelling method with the topology and other technologies. Finally, the automatic generation of anti-error latching logic rules is realised, which solves the problems of low efficiency and lack of reliability in the writing and checking of the corresponding substation anti-misoperation locking logic rules.

关键词： Wiring Graphics Substations Reviews Debugging system integration Libraries Topology Logic Reliability

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Economic Analysis and Visual simulation Platform Construction of Distributed energy Storage on Load Peak-shaving and Valley-filling in Distribution Network 4

Economic Analysis and Visual Simulation Platform Constructio...

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4th IEEE China International Electrical and energy Conference, CIEEC 2021

作者： Sun, Zhebin Saren, Gaowa Liang, Tao Li, Hengzhen Liu, Pengxuan Sun, Dapeng Yan, Jiaqi Ma, Dexuan Zhang, Hao Li, Cuiping Li, Junhui Inner Mongolia Power Economic Technology Research Institute Hohhot China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Jilin China

ISBN: (纸本)9781728171494

This paper proposes an economic analysis method for distributed energy storage applications in distribution networks, and constructs a visual simulation platform. Firstly, the influence of photovoltaic / wind power fluctuation on load peak-valley difference in distribution network under different permeability is analyzed, and the technical and economic characteristics of different distributed energy storage systems are compared. Secondly, in order to facilitate the analysis and display the analysis results, a visual simulation platform is constructed based on MATLAB / Simulink software. The simulation results of IEEE 33-Bus system show that the method described in this paper can effectively analyze the economy of load peak-shaving and valley-filling by different energy storage configuration methods, and the visualization platform can clearly and intuitively show the results of the above analysis method. © 2021 IEEE.

关键词： MATLAB

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Zoning Voltage Coordination control Method for High Proportion Distributed Photovoltaic power in Distribution Network

Zoning Voltage Coordination Control Method for High Proporti...

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energy Engineering and power systems (EEPS), International Conference on

作者： Bing Xue Yanfeng Ge Chuang Li Niankang Guo Chenglian Ma Dawei Huang State Grid Yingkou Power Supply Company State Grid Liaoning Electric Power Co. LTD Yingkou Liaoning China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China

ISBN: (数字)9798350375138

ISBN: (纸本)9798350375145

The high penetration of distributed photovoltaic generation into distribution networks has become a major development trend in the future. However, the intermittency and random fluctuations of distributed photovoltaic output have exacerbated voltage violation and fluctuation issues in distribution networks. To address this problem, a distribution network zoning voltage coordination control strategy is proposed. In terms of zoning, voltage sensitivity index information obtained from daily power flow calculations is utilized to analyse and express the impact variation of photovoltaic generation on the voltage of each node. Based on the threshold requirements of voltage variation indices, the zoning of nodes is determined. In terms of zoning voltage coordination control, a strategy of voltage sensitivity control within the partition is adopted, pairing nodes within each partition and utilizing the active and reactive regulation capabilities of photovoltaic generation to control all over-limit voltage within normal range. Furthermore, through the interval distributed voltage coordination control strategy, the interval state variables are equivalenced, and based on the SADMM algorithm, the dynamic reactive power compensation amount between adjacent partitions is optimized to achieve the optimization and suppression of network-wide voltage fluctuations. Taking the IEEE 33-node system as an example, a case study was conducted to verify the effectiveness and feasibility of the proposed strategy in practical applications.

关键词： Photovoltaic systems Reactive power Fluctuations Voltage fluctuations Sensitivity Distribution networks Regulation Indexes Voltage control Optimization

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Critical link identification of power system vulnerability based on modified graph attention network

arXiv

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arXiv 2024年

作者： Wang, Changgang Wang, Xianwei Cao, Yu Li, Yang Lü, Qi Zhang, Yaoxin Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Northeast Electric Power University Jilin132012 China State Grid Tianjin Electric Power Company Tianjin300010 China

As the power grid expands and the proportion of renewable energy increases, the uncertainty and randomness of the power grid have increased, posing a threat to the security of system operation. It becomes crucial to identify the crucial links in the power grid to ensure its reliability during operation. Addressing the issues of slow identification speed and difficulty in meeting the actual operational requirements of traditional methods for identifying crucial links in the power grid, this paper proposes a method based on the Modified Graph Attention Network (MGAT) algorithm for identifying crucial link in the power grid. Firstly, combining complex network theory with actual power grid operational data, an evaluation index set is established. Subsequently, the MGAT is utilized to explore the mapping relationships between various indicators during power grid operation and the crucial links, forming a model for crucial link identification. Considering the requirements of training accuracy and efficiency, the original data is preprocessed to optimize the model. Next, through simulation, the original dataset is obtained for training, validation, and testing of the identification model. Finally, the proposed model is applied to an improved IEEE 30-node system and a real power grid. The results indicate the feasibility of the proposed method, with accuracy and speed surpassing traditional methods, demonstrating its practical engineering value. © 2024, CC BY-NC-ND.

关键词： Smart power grids

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Ultra-Short-Term Wind power Interval Prediction Based on Fluctuating Process Partitioning and Quantile Regression Forest

引用

FRONTIERS IN energy RESEARCH 2022年 10卷

作者： Sun, Yong Huang, Yutong Yang, Mao Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China State Grid Jilin Electric Power Company Ltd. Changchun China

As errors in point forecasts of wind power are unavoidable, interval forecasts can adequately describe the uncertainty in wind power and thus provide further guidance to dispatchers in their decision making. Current interval prediction methods are still incomplete in terms of tapping into the physical variability of wind power, especially for the specific time scale of the ultra-short term. This paper therefore proposes a new framework for interval forecasting of ultra-short-term wind power that incorporates the power fluctuation process. Firstly, a fluctuating process of wind power series is defined and a Kalman-SOM method for clustering the fluctuating processes of wind power is constructed. Secondly, a quantile regression forest interval prediction model is constructed for multiple fluctuation processes for ultra-short-term time scales. Finally, the effectiveness of the overall framework is validated at a wind farm in Jilin Province, China. Compared with the traditional interval prediction method. The interval bandwidth is reduced by 0.86% on average, and the interval coverage is increased by 1.4% on average. The results demonstrate the effectiveness and feasibility of the method in this paper.

关键词： wind power ultra-short-term prediction self-organizing map fluctuation quantile regression forest

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Optimal Scheduling Strategy for Interconnected Multi-region Peaking Resources Considering Network Currents

Optimal Scheduling Strategy for Interconnected Multi-region ...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Junhui Li Yahui Pan Xuesong Qi Xiaozhuo Guan Tiebin Guo Yizhu Zhang Jia Sun Yixin Lu Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China Power dispatching and control center Jilin Power Supply Company Jilin China Science and Technology Section Jilin Power Supply Company Jilin China Science and Technology Innovation Department Jilin Electric Power Co Changchun China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

Under the background of the increasing proportion of new energy power generation, the mismatch of “source-load” occurs between regions. To effectively improve the utilization rate of peaking resources and increase the amount of “source-load” matching, this paper proposes the optimal scheduling of multiregional peaking resources considering network currents. The strategy takes into account the impact of wind power penetration rate on the demand for peaking resources and connects the regions with different peaking characteristics using contact lines. It evaluates and iterates the peaking resources of each region in each time period and finds the optimal amount of peaking resources and the optimal output of thermal power units in each region. Through simulation, the results show that the proposed strategy effectively improves wind power consumption and system operation economy.

关键词： Electrical engineering systems operation Asia Optimal scheduling Wind power generation

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