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SSRN 2024年

作者： Wang, He Wang, Yao Bian, Jing Li, Guoqing Key Laboratory of Modern Power System Simulation and Control and New Green Electricity Technology Ministry of Education Northeast Electric Power University Jilin132012 China

The flexible energy storage characteristics of Electric vehicles (EVs) make them an important target for grid demand response. However, in the context of large-scale EVs into the grid, an important challenge currently is how to improve the accuracy of the V2G activity while taking into account the interests of both EVs and the grid. To address this problem, this paper proposes a bi-level real-time dispatch strategy based on an improved rolling horizon method (RHM). In the upper-level strategy, the relation between electricity price and power grid energy regulation demand is established by introducing a fixed base elasticity coefficient. An algorithm process is designed to find the relationship between the real-time price and the EVs load to be scheduled, to solve a real-time price that can maximize the income of the grid. In the lower-level strategy, the C&D schedule is developed for each EV to minimize the user cost, and the temporal scheduling constraint is ensured by grouping as well as parallel computing. simulation results show that the proposed real-time strategy effectively improves the accuracy of the V2G activity and increases profits for the grid and EVs. © 2024, The Authors. All rights reserved.

关键词： Vehicle-to-grid

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Filter-Based Fault Diagnosis of Heat Exchangers 6th

Filter-Based Fault Diagnosis of Heat Exchangers

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6th International Conference on Life system Modeling and simulation, LSMS 2020, and 6th International Conference on Intelligent Computing for Sustainable energy and Environment, ICSEE 2020

作者： Zhang, Jianhua Li, Hongrui Fan, Penghao Hou, Guolian Ren, Mifeng State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China College of Information Engineering Taiyuan University of Technology Taiyuan030024 China

ISBN: (纸本)9789813363779

In this paper, a filter is proposed to diagnose fouling and sensor faults of heat exchangers. First, a typical heat exchanger system model is established, a filter based on the survival information potential is then designed for non-Gaussian stochastic systems. Consequently, the state estimation generated by the filter is used for fault detection, and the support vector machine is then employed to identify fouling and fault location of heat exchangers. The simulation results show that the fault diagnosis of heat exchangers can be effectively. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Support vector machines

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Research on Multi-Objective Planning of Electric Vehicle Charging Stations Considering the Condition of Urban Traffic Network

arXiv

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arXiv 2022年

作者： Wang, Limeng Yang, Chao Zhang, Yi Bu, Fanjin Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Harbin Power Supply Company Substation Secondary Maintenance Center Harbin150036 China

As an important supporting facility for electric vehicles, the reasonable planning and layout of charging stations are of great significance to the development of electric vehicles. However, the planning and layout of charging stations is affected by various complex factors such as policy economy, charging demand, user charging comfort, and road traffic conditions. How to weigh various factors to construct a reasonable model of charging station location and capacity has become a major difficulty in the field of electric vehicle charging facility planning. Firstly, this paper constructs the location and capacity optimization model of the charging station with the goal of maximizing the revenue of operators and minimizing the user's charging additional cost. At the same time, the road time-consuming index is introduced to quantify the impact of road congestion on the user's charging additional cost, so as to effectively improve the user's satisfaction during charging. Then, aiming at the charging station planning model, a non-dominated sorting genetic algorithm with an elite strategy (NSGA-Ⅱ) based on chaos initialization and arithmetic crossover operator is proposed. Finally, taking the Haidian District of Beijing as the simulation object, the results show that compared with the situation of urban traffic networks not considered, the model proposed in this paper significantly reduces the cost of lost time of users by 11.4% and the total additional cost of users' charging by 7.6%. It not only ensures the economy of the system, but also effectively improves the charging satisfaction of users, which further verifies the feasibility and effectiveness of the model, and can provide a reference for the planning and layout of charging stations in the future. © 2022, CC BY-NC-ND.

关键词： Location

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A Real-Time Charging and Discharging Scheduling Strategy for Large-Scale Electric Vehicles into Smart Grid Considering the Economic Benefits of Both Vehicle Owners and the Grid

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SSRN 2024年

作者： Wang, He Wang, Yao Bian, Jing Li, Guoqing Key Laboratory of Modern Power System Simulation and Control and New Green Electricity Technology The Ministry of Education Northeast Electric Power University Jilin132012 China

The flexible energy storage characteristics of Electric vehicles (EVs) make them an important target for grid demand response. However, in the context of integrating large-scale EVs into the grid, a significant challenge is to improve the accuracy of the guided charging and discharging (C&D) schedule for grid energy regulation while considering the economic implications for both EV owners and the grid. To address this problem, this paper proposes a bi-level real-time dispatch strategy based on an improved rolling horizon method (RHM). In the upper-level real-time pricing optimization strategy, the relation between electricity price and power grid energy regulation demand is established by introducing a fixed base elasticity coefficient. To solve a real-time price that can maximize the income of the grid, an algorithm process is designed to find the relationship between the real-time price and the load of to-be-scheduled-EVs (TSEVs). In the lower-level EV C&D load optimization strategy, an adaptive variable horizon scale (AVHS)-RHM is proposed to enhance the correction effect of the RHM. Additionally, the temporal scheduling constraint (TSC) of real-time dispatching is ensured through grouping and parallel computing. simulation results indicate that the proposed real-time dispatch strategy, compared to the commonly used time-of-use (TOU) pricing, reduces the maximum peak-valley load differences by 17.6% and the standard deviation by 6.9%. This effectively enhances the accuracy of EVs' participation in grid energy regulation and provides a viable solution to fully utilize EVs as part of flexible resources. © 2024, The Authors. All rights reserved.

关键词： Electric vehicles

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Investigating the transient torque of turbo-generators in a power system integrating wind farms

Investigating the transient torque of turbo-generators in a ...

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8th renewable power Generation Conference (RPG 2019)

作者： Bowen Yang Gangui Yan Xiaorong Xie Yanhui Wang Jian Tang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Key Laboratory of Power System Department of Electrical Engineering Tsinghua University Beijing China State Grid East Mongolia Electric Power Supply Co. Ltd. Hohhot China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

The renewable energy sources connected to the grid will cause the power system to oscillate and even affect neighbouring turbo-generators. For example, the wind turbines and their converter control systems may cause shaft torsional vibration in the steam turbine units, which affects the safety of the system. Therefore, it is of significance to investigate the transient torque of turbo-generators in a power system integrating wind farms. This paper takes a power plant in Inner Mongolia area of China as the case, the power of which is transmitted via the AC/DC hybrid power system with wind and thermal power. A typical equivalent system model of the wind-thermal-bundled access network is established firstly. Consider setting the fault on the line with series capacitor compensation and observe units' torque variation. Then the impact on sub-synchronous resonance (SSR) characteristics from many factors was investigated through the time-domain simulation, including the unit combination mode (including the long-term accessed DFIGs condition), the fault type and position, the system equivalent impedance, the fault starting/clearing time and the mechanical mutual damping coefficient of shafting, etc. Finally, the influence of each factor on transient torque is summarized, and the inner associations between the shaft torsional vibration in the turbo-generators and the converter-based wind turbines are clarified.

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Multi-Objective Model Predictive control Strategy in Waked Wind Farms for Optimal Fatigue Loads

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SSRN 2023年

作者： Zhong, Cheng Ding, Yicheng Wang, Husai Chen, Jikai Wang, Jian 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

With the rapid growth of wind power penetration, wind farms (WFs) are required to implement frequency regulation that active power control to track a given power reference. Due to the wake interaction of the wind turbines (WTs), there is more than one solution to distributing power reference among the operating WTs, which can be exploited as an optimization problem for the second goal, such as fatigue load alleviation. In this paper, a multi-objective closed-loop model predictive controller is developed that minimizes the wind farm tracking errors, the dynamical fatigue load, and the load deviation from the mean value. The controller is evaluated in a medium-fidelity model. A 3*3 WTs simulation case study is used to demonstrate the control performance for different penalty factor settings. The results indicated the WF can alleviate dynamical fatigue load and have no significant impact on power tracking. However, it can bring excessive loads on the upstream WTs. By adding a trade-off between the load equalization and dynamical fatigue load, the load differences between WTs are significantly reduced and loads of the upstream WTs can be reduced, while the dynamical fatigue load slightly increases when selecting a proper penalty factor. © 2023, The Authors. All rights reserved.

关键词： Fatigue load

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P2P transaction method for distributed energy prosumers based on reputation value

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Global energy Interconnection 2023年第3期6卷 308-323页

作者： Tao Jiang Ting Hua Hao Xiao Linbo Fu Wei Pei Tengfei Ma Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012P.R.China Institute of Electrical Engineering Chinese Academy of Sciences Beijing 100190P.R.China School of Electronic Electrical and Communication Engineering(EECE)University of Chinese Academy of SciencesBeijing 100049P.R.China

Adding a reputation incentive system to peer-to-peer(P2P)energy transactions can encourage prosumers to regulate their trading behavior,which is important for ensuring the efficiency and reliability of P2P *** study proposed a P2P transaction mechanism and game optimization model for prosumers involved in distributed energy sources considering reputation-value ***,the deviation of P2P transactions and the non-consumption rate of distributed renewable energy in P2P transactions were established as indicators to quantify the influencing factors of the reputation value,and a reputation incentive model of P2P transactions for prosumers was ***,the penalty coefficient was applied to the cost function of the prosumers,and a non-cooperative game model of P2P transactions based on the complete information of multi-prosumers was ***,the Nash equilibrium problem was transformed into a nonlinear optimization problem by constructing the modified optimal reaction function,and the Nash equilibrium solution of the game was obtained via a relaxation ***,the modified IEEE 33-node test system based on electricity market P2P and an IEEE 123-node test system were used to analyze and verify the cost and P2P participation of prosumers considering the reputation *** results show that the addition of the reputation incentive system can encourage prosumers to standardize their interactive transaction behavior and actively participate in P2P *** can also improve the operation efficiency of the power grid and promote the perfection of the P2P transaction mechanism.

关键词： P2P Prosumer Non-cooperative game Reputation value Multi-agent of interest Operation optimization

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

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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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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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