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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Xiaohui Wang Yu Bai Yadong Gao Dong Liu Yan Zhang Zhidong Wang Feng Gao Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Zhejiang Huayun Electric Power Engineering Design & Consulting Co. Ltd Hangzhou China State Grid Corporation of China (SGCC) State Grid Economic and Technological Research Institute Co. Ltd Beijing China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

To satisfy the increasing power demands in load center, multiple HVDCs have been integrated into the receiving grid in China. The reality raises the coordination issues of HVDCs. A HVDC grouping method for optimizing the management of multiple HVDCs is proposed in this paper. Several kinds of relationship in coordination and complementarity between HVDCs are analyzed and quantified. Based on graph theory, HVDC grouping is transformed into a graph-cut problem and solved by spectral clustering algorithm. The proposed method is implemented on a practical multi-HVDC grid, and the results show its feasibility and effectiveness.

关键词： HVDC transmission Voltage control Reactive power Couplings Indexes Clustering algorithms Converters

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Stabilization of Time-delayed power system with Combined Frequency Domain IQC and Time Domain Dissipation Inequality

Stabilization of Time-delayed Power System with Combined Fre...

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IEEE General Meeting power& Energy Society

作者： Dongsheng Cai Qi Huang Jian Li Zhengyuan Zhang Yufei Teng Weihao Hu School of Mechnical and Electrical Engineering University of Electronic Science and Technology of China Power system Relay and Control Sichuan Electric Power Test and Research Institute

Time delay is prejudicial to power system stability and generally worsens the performance of control system. In this paper, the approaches for stability analysis and stabilization of a power system consisting of time-varying delay are established. The paper starts with modeling of the power system according to time-delay differential algebraic equations. An Integral Quadratic Constraints (IQC) method is constructed to guarantee the stability of proposed feedback controller. The frequency-domain IQC and time-domain dissipation inequality are effectively combined to perform stability analysis and stabilization of power system considering time delays, without complex numerical computation. A 2-area 4-machine system, an IEEE ten-machine thirty nine-bus system and a WECC 179-bus system are employed to support the stability criteria and IQC method. The simulation results indicate that the combined methods effectively damp the oscillation and improve the performance.

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An Analysis of the Effects of Flexibility Modification on system Frequency Regulation 2

An Analysis of the Effects of Flexibility Modification on Sy...

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2nd IEEE International Conference on power and Energy Applications, ICPEA 2019

作者： Yuguang, Niu Ming, Du Enfu, Dong Ke, Zhou Weichun, Ge Huanhuan, Luo State Key Laboratory for Alternate Electric Power System with Renewable Energy Source North China Electric Power University Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China State Grid Liaoning Electric Power Supply CO. LTD Shenyang Liaoning Province110004 China Xi'an Thermal Power Research Institute CO. LTD Xi'an Shanxi Province710054 China

ISBN: (纸本)9781728115962

With the flexibility modification of thermal power plant, the minimum technical output of units has been reduced. Different kinds of operating modes can be chosen by operators of power grids, which will influence the frequency regulation of power grids. The mathematical model of reheater steam turbine and load frequency control (LFC) are established considering flexibility modification of thermal power plants. Two scenarios are created and simulations are carried out. The results indicate that with the increase of units investigated in power system, the frequency deviation decrease obviously in both a stand-alone control area and two interconnected control areas. The conclusions presented here provide some guidance on operation of thermal power plants in regions to reduce the amplitude of frequency oscillation. © 2019 IEEE.

关键词： Frequency response

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Emissions reduction potential and feasibility of vehicle-to-grid for Beijing’s future electric vehicles

Cell Reports Physical Science

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Cell Reports Physical Science 2025年

作者： Jiaxin Xu Jiahui Chen Hongyi Wei Yinan Zhao Bowen Tian Yifan Wen Haiyang Jiang Ning Zhang Shaojun Zhang Ye Wu School of Environment Tsinghua University Beijing 100084 China Center for Sustainable Systems School for Environment and Sustainability University of Michigan Ann Arbor MI 48109 USA School of Electrical and Power Engineering Power System Research Institute Tsinghua University Beijing 100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China Beijing Laboratory of Environmental Frontier Technologies School of Environment Tsinghua University Beijing 100084 China State Key Laboratory of Regional Environment and Sustainability Tsinghua University Beijing 100084 China

Electric vehicles (EVs) offer significant potential to reduce greenhouse gas (GHG) emissions from road transport. However, nighttime charging increases peak demand and thermal power reliance. This study evaluates vehicle-to-grid (V2G) as a solution by integrating GPS-based EV travel data with hourly grid modeling for 2 million EVs in Beijing. Results show V2G boosts renewable energy use in charging to 66%, up from under 4% in uncoordinated charging. V2G cuts vehicle uncoordinated charging emissions by 20.6% and reduces the grid’s GHG footprint by replacing thermal power with discharging electricity. Commuter vehicles and the summer months offer the highest V2G emissions reduction potential. The study finds battery degradation manageable and highlights synergies between V2G, renewable capacity expansion, and economic incentives, while emphasizing the need for robust infrastructure and local grid networks to support large-scale EV adoption. This approach therefore offers a promising pathway to accelerate sustainable energy solutions amid increasing vehicle electrification and renewable integration.

关键词： electric vehicles vehicle to grid V2G GHG emissions travel pattern grid optimization

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A Nonnegativity-Constraint Sparse Stacked Denoising Autoencoder for Anomaly Detection in Electric power Communication Network

A Nonnegativity-Constraint Sparse Stacked Denoising Autoenco...

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IEEE International Symposium on Broadband Multimedia systems and Broadcasting (BMSB)

作者： Zhuo Tao Yong Yan Yang Yang Yuanyuan Wang Jiang Luo State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China State Grid Zhejiang Electric Power Company LTD Zhejiang China Science and Technology on Information System Engineering Laboratory Beijing Institute of Control and Electronic Technology Beijing China

ISBN: (数字)9781728157849

ISBN: (纸本)9781728157856

As the scale of the electric power communication network is getting larger and larger, network security issues are becoming more and more complex. as an effective protection method, network traffic anomaly detection can provide important technical support for network situation awareness. In some cases, plenty of labeled data are unavailable, which may lead to low detection accuracy. To deal with this problem, a nonnegativity-constraint sparse stacked denoising autoencoder(NSSDAE) is proposed. Meanwhile, we propose a method called dynamic parameter freezing(DPF) for parameter transfer, which allows to find the best performance that may exist between the freezing and fine-tuning within a layer by adjusting the variable alpha. And discriminative joint probability maximum mean discrepancy is introduced for distribution adaptation. The results for NSL-KDD show that the proposed NSSDAE-TL algorithm is effective.

关键词： Noise reduction Telecommunication traffic power systems Communication networks Security Multimedia communication Anomaly detection

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A Semi-smooth Projected Levenberg-Marquardt power Flow Method to Cope with the Constraints Exchange Issue 3

A Semi-smooth Projected Levenberg-Marquardt Power Flow Metho...

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3rd IEEE Conference on Energy Internet and Energy system Integration, EI2 2019

作者： Ju, Yuntao Wang, Jiankai Zhang, Zifeng Chen, Jianhua Dong, Mingyu Li, Dezhi Shi, Kun Zhang, Haibo China Agricultural University College of Information and Electrical Engineering Beijing China State Grid Jibei Electric Power Company Power Control Center Beijing China Carriers Optimization and Interaction Technique Beijing Key Laboratory of Demand Side Multi-Energy Beijing China China Electric Power Research Institute Beijing China North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing China

ISBN: (纸本)9781728131375

In the conventional power flow (PF) calculation, when using the PV-PQ bus switching to deal with the problem of the generator buses reactive power limits violation for power systems, this method may cause the power flow calculation to fail. If using the Fischer-Burmeister (FB) function to handle constraint exchange issues, then using the Newton-Raphson (NR) method to solve PF, this operation will lead to a slow convergence. In this paper, a semi-smooth projected Levenberg-Marquardt (PLM) power flow method based on the FB function to deal with the constraints exchange issues is proposed. This method can change the search direction when the constraint exchange positions are at sharp corners, and adjust the size of the trust region to prevent the power flow from divergence due to excessive step size in the iterative process, thus improving convergence and reliability. Furthermore, the traditional power flow calculation method is sensitive to the initial value, which may cause the PF divergence, however the method of PLM proposed in this paper is globally convergent, which is not sensitive to the initial value. Numerical tests implemented on a small 3-bus network and a modified IEEE 118-bus system show that the proposed method is more efficient and robust than existing methods. © 2019 IEEE.

关键词： Newton-Raphson method

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Spatial-Temporal Distribution Prediction of Charging Load for Electric Vehicles Based on Dynamic Traffic Information

Spatial-Temporal Distribution Prediction of Charging Load fo...

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

作者： Liangliang Chen Fengkun Yang Qiang Xing Shengjun Wu Ruisheng Wang Jiachen Chen NARI Group Corporation/State Grid Electric Power Research Institute NARI Nanjing Control System Co. Ltd Nanjing China School of Electrical Engineering Southeast University Nanjing China State Grid Jiangsu Electric Power CO. LTD Nanjing China Chien-Shiung Wu College Southeast University Nanjing China

ISBN: (数字)9781728196060

ISBN: (纸本)9781728196077

Charging load prediction of electric vehicles (EVs) is an important prerequisite for studying the interaction between electric vehicles and power grid. Aiming at the influence of traffic road network information on the driving rule of EVs, a spatial-temporal distribution prediction method of charging load for EVs based on dynamic traffic information is presented. In this methodology, given the characteristic of multiple intersections in the urban road network, a dynamic road network model with the impedance of the road section and the impedance of the node are established firstly. The corresponding interactive model of transportation network-distribution network is determined according to the scale of road network. And then, the origin destination (OD) matrix analysis method and the real-time Dijkstra dynamic path search algorithm are introduced to assign start-stop nodes and plan driving paths for EVs and simulate their dynamic driving process and charging behavior. At last, the EV path planning experiment and the charging load prediction experiment in typical regions are designed to verify the effectiveness and feasibility of the proposed strategy.

关键词： Roads Heuristic algorithms power system dynamics Path planning Real-time systems Vehicle dynamics Load modeling

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A Hierarchical Bidirectional LSTM Sequence Model for Extractive Text Summarization in Electric power systems

A Hierarchical Bidirectional LSTM Sequence Model for Extract...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Wei Jiang Yunfeng Zou Ting Zhao Qiang Zhang Yinglong Ma State Grid Corporation of China Beijing China Marketing Service Center of State Grid Jiangsu Electric Power Co. Ltd Global Energy Interconnection Research Institute Co. Ltd Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (数字)9781728184463

ISBN: (纸本)9781728184470

With the increasing volume of documents in electric power systems, it is urgent and necessary for electric power systems managers to efficiently analyze the massive documents and make reasonable decisions by capturing the main points of the document as quickly as possible. The text summarization technique provides a feasible way to efficiently analyze and obtain the main contents residing in the document. In this paper, we present a Hierarchical Bidirectional Long Term Short Memory Sequence model for extractive text summarization in electric power systems in order to efficiently and accurately summarize electric power documents and obtain a summary of the document. Our model is divided into four layers including the embedding layer, the word layer, the sentence layer, and the classification layer in a hierarchical manner. The related experiments were made based on the electric power data set that contains more than 2000 electrical papers, in comparison with the existing approaches based on the CRF, CNN, and RNN models. The experimental results show that the performance based on our approach is superior to the three approaches against the three performance indexes ROUGE-1, ROUGE-2, and ROUGE-L.

关键词： power systems Feature extraction Mathematical model Logic gates Task analysis Data mining Bit error rate

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Multi-objective optimization of wind turbine via controllers coordination and sensitivity analysis 8

Multi-objective optimization of wind turbine via controllers...

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8th Renewable power Generation Conference, RPG 2019

作者： Chen, Zhenyu Lin, Zhongwei Wang, Chuanxi Han, Xiangyu Li, Gengda Hu, Feng Si, Zongming State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing102206 China Guodian New Energy Technology Research Institute Co. Ltd Beijing102209 China New Energy Co. Ltd Jinan250099 China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

In this paper, a sensitivity-analysis-based wind turbine optimization strategy is introduced to improve the power output stability while reducing the shaft and tower loads. Both generator torque and blade pitch are controlled coordinately to achieve the optimization. During the wind turbine control process, blade pitch and generator torque are controlled proportionally to the generator speed tracking error, which simplifies the controller structure, thus, the wind turbine performance can be evaluated with control variables sensitivities directly. The wind turbine performance is considered in output power stability, shaft bending moment and tower bending moment. Both load parameters are analysed in fatigue damage lifetime. A conflicting relationship is realized between the load-power characteristic during the optimization, and a global coordination solution is selected on the pareto optimal frontier. Essential, this work is an exploration for the quantitative analysis from the wind turbine load performance to the control variables sensitivities directly without the limitation of controller forms. Simulation results show the effectiveness of the proposed controller. © 2019 Institution of engineering and Technology. All rights reserved.

关键词： Multiobjective optimization

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Multi-objecive LPV control of wind energy conversion system under wide-scale operating conditions 8

Multi-objecive LPV control of wind energy conversion system ...

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8th Renewable power Generation Conference, RPG 2019

作者： Qu, Chenzhi Lin, Zhongwei Xie, Zhen Li, Yilin Zhang, Shangang Li, Xiongwei Duan, Zhenqing State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing102206 China New Energy Co. Ltd Jinan250099 China Guodian New Energy Technology Research Institute Co. Ltd Beijing102209 China

ISBN: (纸本)9781839531255

Wind energy conversion system (WECS) is essentially a time-varying system with high nonlinear characteristics, which leads to the difficulty of guaranteeing the control performance in a wide-scale operating conditions for the conventional linear control strategies. In this paper, a linear-parameter-varying (LPV) gain-scheduled controller is proposed for variable-speed-variable-pitch wind turbines above rated wind speed, which improves both steady- and dynamic-response performances under wide-scale operating conditions. Firstly, the H2/H∞ technique is adopted to reduce the rated power tracking errors, while enhancing the robustness against high-frequency turbulence. Secondly, the regional pole placement technique is applied on WECS, which builds the connections to the dynamic response performance. To verify the effectiveness of the proposed method, the simulation is implemented on the NREL 5 MW wind turbine, which is compared with the conventional local linear control strategy with a full analysis on the related performances. © 2019 Institution of engineering and Technology. All rights reserved.

关键词： Wind power

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