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20th International Conference on Optical Communications and Networks, ICOCN 2022

作者： Zheng, Xuemei Zhou, Zhenxing Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Jilin China School of Electrical Engineering Northeast Electric Power University Jilin China

ISBN: (数字)9781665458986

ISBN: (纸本)9781665458986

With the reduction of spectrum resources available in modern communication, higher requirements are put forward for the out of band suppression, frequency selection characteristics and signal-To-noise ratio of the filter. Based on the traditional stepped impedance resonator, a microstrip multifrequency filter based on open branch loaded stepped impedance resonator is designed and implemented in this paper. © 2022 IEEE.

关键词： Microstrip filters

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Economic Analysis of Peak Regulation of Fire Storage system Based on Northeast Electric Auxiliary Service Market 4

Economic Analysis of Peak Regulation of Fire Storage System ...

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

作者： Zhao, Haiji Zhang, Jingxiang Yu, Jun Jin, Xuezhu Hou, Kaiyuan An, Chenyu Xu, Fei Li, Junhui Northeast Branch of State Grid Corporation of China 110180 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China

ISBN: (数字)9781665480796

ISBN: (纸本)9781665480796

With the proposal of 'dual carbon' goal, the installed capacity of new energy is increasing rapidly, but the randomness and unpredictability of new energy affect the security of power grid. The stability of power grid requires the thermal power plant to carry out the task of peak regulation, but the thermal power plant to undertake the task of deep peak regulation is not high income, poor enthusiasm. Based on the operation rules of auxiliary service market in Northeast China, this paper studies the deep peak shaving task of energy storage system auxiliary thermal power plant. At the same time, the cost of all-vanadium flow battery was modeled and calculated, and the control strategy of charge and discharge limit of energy storage was adopted based on the depth peak shaving benchmark. The cost model and profit model of the energy storage system are constructed, and the economic analysis of the energy storage system in the combined fire storage system is carried out. Further explore the feasibility of energy storage system combined with thermal power plant peak regulation. © 2022 IEEE.

关键词： Economic analysis

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Modeling of Direct Ac/Ac Hybrid Distribution Transformer Based on Relaxed Two Port Network Theory

SSRN

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SSRN 2024年

作者： Wang, Yibo Zhang, Xinyi Liu, Chuang Cai, Guowei Liu, Yu Liu, Kaipu Wang, Yuan Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Northeast Electric Power University Jilin132012 China

Traditional distribution transformers have shortcomings such as poor dynamic characteristics and unreasonable voltage compensation. It is difficult for them to meet the demand for power quality with large-scale integration of new energy into the grid. A hybrid distribution transformer (HDT) is one of the important means to address the above issues. It has good flexibility in voltage regulation and huge development potential. To analyze the operating status and losses of HDT, this paper constructs a simplified equivalent impedance model for HDT. Firstly, the operating principle, characteristics, and voltage regulation range of the direct AC/AC HDT are analyzed. Secondly, based on the state space averaging method, obtain the HDT single-phase average circuit topology and construct an HDT relaxed two-port network model. Thirdly, considering the operating losses of the transformer, derive the Thevenin equivalent parameters of HDT. Then, a simplified equivalent impedance model for HDT and the corresponding control strategies are given. Finally, verify the correctness and rationality of the proposed theory by building an HDT simulation model. © 2024, The Authors. All rights reserved.

关键词： Equivalent circuits

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Design of dual band microstrip antenna based on electromagnetic band gap structure 20

Design of dual band microstrip antenna based on electromagne...

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20th International Conference on Optical Communications and Networks, ICOCN 2022

作者： Zheng, Xuemei Tang, Longfei Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Jilin China School of Electrical Engineering Northeast Electric Power University Jilin China

ISBN: (数字)9781665458986

ISBN: (纸本)9781665458986

Because the antenna is an important passive component in the RF front-end of mobile communication, some studies have found that the combination of EBG and antenna can effectively improve the performance of the antenna. In this paper, a dual band microstrip antenna based on EBG structure is designed, which improves the gain of the antenna, and the resonant frequencies are 2.4 GHz and 3.5 GHz. After simulation, the return loss at two resonant frequencies is less than-19.5 dB, which basically meets the design requirements. © 2022 IEEE.

关键词： Natural frequencies

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A software design of the equipment management business in Digital Workshop

A software design of the equipment management business in Di...

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2020 International Conference on Intelligent control, Measurement and Signal Processing and Intelligent Oil Field, ICMSP 2020

作者： Xiucai, Zhao Tao, Yan Jianrui, Li Min, Guo China Electronics Technology Instruments Co. Ltd Key Laboratory of Navigation System Simulation and Testing Technology Qingdao China

Firstly, the present situation and business requirements of the digital workshop equipment management business are designed, and a hierarchical functional architecture based on cloud platform is proposed, combined with the top-level function allocation and information integration model of the workshop equipment management business software. Then, combined with the discussion of the key points of software design, the technical approaches of vertical service support and horizontal interconnection integration, such as building a stable, reliable and low delay distributed system framework, real-time equipment state monitoring based on OPC UA, etc. Finally, the feasibility and effectiveness of the software design approach is further verified through the application practice of the equipment management business in an electronics product manufacturing workshop, which helps to improve the automation degree and real-time deterministic effect of the workshop equipment management business, and provides a reference for business planning and condition construction of similar enterprises' digital workshop. © Published under licence by IOP Publishing Ltd.

关键词： Software design

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Machine learning for membrane bioreactor research:principles,methods,applications,and a tutorial

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Frontiers of Environmental Science & Engineering 2025年第3期19卷 119-144页

作者： Yizhe Lai Kang Xiao Yifan He Xian Liu Jihua Tan Wenchao Xue Aiqian Zhang Xia Huang Beijing Yanshan Earth Critical Zone National Research Station College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing 101408China Key Laboratory of Earth System Numerical Modeling and Application University of Chinese Academy of SciencesBeijing 101408China Environmental Chemistry Faculty College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing 101408China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Department of Energy Environmentand Climate ChangeSchool of EnvironmentResourcesand DevelopmentAsian Institute of TechnologyP.O.Box 4Klong LuangPathumthani 12120Thailand State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

Membrane fouling poses a significant challenge to the sustainable development of membrane bioreactor(MBR)technologies for wastewater *** accurate prediction of the membrane filtration process is of great importance for identifying and controlling *** learning methods address the limitations of traditional statistical approaches,such as low accuracy,poor generalization ability,and slow convergence,particularly in predicting complex filtration and fouling processes within the realm of big *** article provides an in-depth exposition of machine learning *** study then reviews advances in MBRs that utilize machine learning methods,including artificial neural networks(ANN),support vector machines(SVM),decision trees,and ensemble *** on current literature,this study summarizes and compares the model input and output characteristics(including foulant characteristics,solution environments,filtration conditions,operating conditions,and time factors),as well as the selection of models and optimization *** modeling procedures of SVM,random forest(RF),back propagation neural network(BPNN),long short-term memory(LSTM),and genetic algorithm-back propagation(GA-BP)methods are elucidated through a tutorial *** simulation results demonstrated that all five methods yielded accurate predictions with R2>***,the existing challenges in the implementation of machine learning models in MBRs were *** is notable that integration of deep learning,automated machine learning(AutoML)and explainable artificial intelligence(XAI)may facilitate the deployment of models in practical engineering *** insights presented here are expected to facilitate the establishment of an intelligent control framework for MBR processes in future endeavors.

关键词： Membrane bioreactor Machine learning Pollutant removal Membrane fouling Model prediction

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Research on Path Planning of Unmanned Vehicle Based on Improved Artificial Potential Field Method

Research on Path Planning of Unmanned Vehicle Based on Impro...

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Intelligent control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP), International Conference on

作者： Longchen Xu Yong Yin Yanjie Zhao Lunping Zhang Key Laboratory of Marine Simulation & Control for Ministry of Transportation Dalian Maritime University Dalian China Intelligent Ship Application and Simulation Technology navigation simulation and navigation intelligence China Ship Scientific Research Center WuXi JiangSu Taihu Laboratory of Deepsea Technological Science WuXi JiangSu

An improved method is presented to solve the problems of local optimum and poor real-time performance of conventional artificial potential field method on route planning of unmanned surface vehicles. This method introduces a new repulsive potential field function and adds a regulatory factor. In order to limit the active area, the boundary repulsion field is introduced. By adjusting the boundary repulsion factor and the adjustment factor, the algorithm can be better prevented from falling into local optimum and the optimization efficiency can be improved. This method is simulated in Matlab and compared with traditional algorithms. The test results show that compared to traditional algorithms, using this method for path planning can shorten the range by 3.1%, have a relatively small curvature, reduce the turning point by 33.3 % , and have a smoother path, which has broad application prospects.

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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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A Disturbance Localization Method for Power system Based on Group Sparse Representation and Entropy Weight Method

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Energy Engineering 2024年第8期121卷 2275-2291页

作者： Zeyi Wang Mingxi Jiao Daliang Wang Minxu Liu Minglei Jiang He Wang Shiqiang Li Changchun Power Supply Company State Grid Jilin Electric Power Co.Ltd.Changchun130021China Economic and Technical Research Institute State Grid Jilin Electric Power Co.Ltd.Changchun130022China Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Northeast Electric Power UniversityJilin132012China

This paper addresses the problem of complex and challenging disturbance localization in the current power system operation environment by proposing a disturbance localization method for power systems based on group sparse representation and entropy weight *** different electrical quantities are selected as observations in the compressed sensing *** entropy weighting method is employed to calculate the weights of different observations based on their relative disturbance ***,by leveraging the topological information of the power system and pre-designing an overcomplete dictionary of disturbances based on the corresponding system parameter variations caused by disturbances,an improved Joint Generalized Orthogonal Matching Pursuit(J-GOMP)algorithm is utilized for *** reconstructed sparse vectors are divided into three *** at least two parts have consistent node identifiers,the node is identified as the disturbance *** the node identifiers in all three parts are inconsistent,further analysis is conducted considering the weights to determine the disturbance *** results based on the IEEE 39-bus system model demonstrate that the proposed method,utilizing electrical quantity information from only 8 measurement points,effectively locates disturbance positions and is applicable to various disturbance types with strong noise resistance.

关键词： Disturbance location compressed sensing group sparse representation entropy power method GOMP algorithm

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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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