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

作者： Tengyun Qi Qiren Wu Jianping Liu Fei Xu Yajing Li He Li Yiming Wang Cuiping Li Junhui Li China Three Gorges Corporation Beijing China China Three Gorges Renewables(Group) Co. Ltd Beijing China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation (Tsinghua University) Beijing China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China

ISBN: (纸本)9781665434263

High penetration wind power grid with energy storage system can effectively improve peak load regulation pressure and increase wind power capacity. In this paper, a capacity allocation method of energy storage system under peak load regulation scenario is proposed. The upper model combines the investment cost, operation cost, arbitrage income, environmental income, and wind power grid benefits during the entire life cycle of the energy storage system, with the goal of maximizing the net income during the energy storage life cycle; the lower model optimizes the charging and discharging power of the energy storage system according to each energy storage configuration scheme in the upper modeling, and its objective is to minimize the standard deviation of system net load and waste wind power. Finally, under the conditions of local grid load and wind power data, verified the effectiveness of capacity allocation strategy.

关键词： Costs system integration Production Wind power generation Lithium batteries Regulation Resource management

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Wind-CHP generation aggregation with storage capability of district heating network

Wind-CHP generation aggregation with storage capability of d...

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2017 IEEE Conference on energy Internet and energy system Integration, EI2 2017

作者： Yu, Jing Shen, Xinwei Sheng, Tongtian Sun, Hongbin Xiong, Wen Tang, Lei Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Institute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China Guangzhou Power Grid Company Guangzhou China Beijing Qingda Gaoke System Control Company Beijing China

ISBN: (纸本)9781538614273

The strong coupling of electricity and heat of combined heat and power (CHP) unit in cold season results in the loss of flexibility, which may cause massive wind power curtailment if they are in the same system. This issue could be handled with the thermal storage capability of a district heating network (DHN) that could supply flexibility for CHP to decouple the strong coupling of heat and electric power supplies. In this paper, a wind-CHP generation aggregation(WCGA) model is formulated, which motivates CHP to increase wind power integration by increasing total profit of the system, while considering the additional flexibility supplied by DHN. In WCGA model, DHN is formulated as an energy-storage-like (ESL) model that considers the storage capability of DHN based on dynamic characteristics of temperature and time delay effect of DHN. The potential benefits of the proposed model have been demonstrated by case study in terms of enhancing, wind power integration as well as total profit. © 2017 IEEE.

关键词： District heating

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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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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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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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Response-Based Synchronization Stability Analysis of Multi-Converter power systems 7

Response-Based Synchronization Stability Analysis of Multi-C...

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

作者： Zhou, Yuren Wang, Zihan Li, Gengyin Xia, Shiwei Zheng, Le Ma, Linlin Cheng, Dingyi Wang, Ting State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing China Shandong Electric Power Dispatching and Control Center State Grid Shandong Electric Power Company Shandong China State Grid Shandong Electric Power Research Institute Power Grid Technology Center Shandong China

ISBN: (纸本)9798350345094

With the increasing integration of renewable energy into the power grid, the application of converters in the electrical systems has grown significantly. Due to the nonlinearity, the complexity and the difficult availability of the system models, traditional methods of synchronization stability analysis have revealed limitations and challenges when confronted with modern power systems. Additionally, the prevalence of grid-following converters in the grid leads to a shortage of voltage sources within the system, significantly increasing the risk of grid instability. This paper addresses the issue of synchronization stability analysis of multi-converter power systems, and proposes a response-based method to assess the synchronization stability level of the entire system. Through an analysis of the synchronization stability mechanism of grid-forming converters, a relationship is established between electromotive force, power angle, and node voltages. A quantitative stability evaluation of the system is achieved using the sBTTC index. Case studies show that the proposed response-based method is effective to analyze the synchronization stability of multi-converter power systems, with great practical viability in engineering applications. © 2023 IEEE.

关键词： Electric power system stability

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

SSRN

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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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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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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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