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Smart Grid and Energy Internet (SGEI), International Conference on

作者： Jie Zhao Pingchao Zhou Wentao Sun Haocheng Wu Libin Wen Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan China State Grid Jiangsu Economic Research Institute Nanjing China Electric Power Research Institute of Guangxi Power Grid Co. Ltd Nanning China

ISBN: (数字)9798350368314

ISBN: (纸本)9798350368321

nuclear power plant(NPP) model for power system simulation is established, which includes reactor core system(RCS) and thermodynamic system model, steam turbine model and speed governing system model. Based on the NPP dynamic model, the response characteristics of nuclear power unit core system under different primary frequency modulation parameters are analyzed with difference frequency regulation dead band, limit value and difference coefficients parameters. Based on the transient energy function, the influence of frequency regulation parameters, such as dead band, amplitude limit and the difference coefficient, on the stability of the power grid is analyzed quantitatively. Considering the requirements of nuclear power plant safety and grid stability, an optimization scheme of primary frequency regulation parameters of nuclear power unit is proposed.

关键词： Frequency modulation Limiting Power system stability Stability analysis Inductors Thermal stability Frequency control Optimization Power generation Turbines

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Exploration of the migration characteristics of electric vehicles and the impact of distributed energy resources on carbon emissions

Exploration of the migration characteristics of electric veh...

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Smart Grid and Energy engineering (SGEE), International Conference on

作者： Caiyang Yu Xinyu Wang Huipeng Deng Lei Zhong Yinghao Luo Jinzhou Sun Taizhou Power Supply Company State Grid Zhejiang Electric Power Co. Ltd. Zhejiang China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Hubei China

With a large number of renewable energy and electric vehicles connected to the power grid, the difficulty of peak regulation, voltage regulation, safe and economic operation of the distribution network is rising. Due to the V2G (Vehicle to Grid) operation mode of electric vehicles, it can be used as a mobile energy storage device, and its orderly operation can improve the stability of the distribution network with large-scale distributed photovoltaic and wind power access. It is of great significance to solve many difficult problems in distribution network. Therefore, in a 33-node system, this paper considers and verifies the effects of different migration characteristics of electric vehicles on power grid operation costs and carbon emissions.

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Coordinated Optimal Scheduling of Power System with Wind Power Considering the Flexibility Space of Energy-intensive Load and Pumped Storage

Coordinated Optimal Scheduling of Power System with Wind Pow...

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Power Systems and Electrical technology (PSET), IEEE International Conference on

作者： Lingfang Li Xiaoyu Yue Xuehao He Jiaquan Yang Ruxiang Pan Siyang Liao Power Grid Planning and Construction Center Yunnan Power Grid Corporation Ltd Yunnan China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan China Electric Power Research Institute Yunnan Power Grid Corporation Ltd Kunming China

ISBN: (数字)9798350353204

ISBN: (纸本)9798350353211

Insufficient peak regulation capacity in the power system limits wind power integration. Energy-intensive industrial loads and pumped storage stations offer substantial capacity and rapid adjustment, yet their potential remains underutilized. This study proposes a coordinated optimization method considering both factors. It analyzes the flexible regulation of energy-intensive loads, establishes their regulation model, and similarly for pumped storage, considering its flexibility margin. Additionally, it creates a multi-resource coordination optimization model, factoring in the economic aspects of thermal power deep peak shaving. Tested on a typical system, the proposed model can significantly reduce the wind curtailment rate of the system, greatly reduce the total operating cost of the system, and improve the economy of thermal power. Meanwhile, the utilization rate of the pumped storage unit is improved, the potential of energy-intensive load regulation is excavated, and the peak load regulation structure of the system is reasonably optimized.

关键词： Wind Costs Thermal factors Optimization models Wind power generation Excavation Regulation Power system reliability Reliability Load modeling

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A Study on Outage Analysis of distribution networks with DG Based on Knowledge Graph and Optimized Greedy Algorithm

A Study on Outage Analysis of Distribution Networks with DG ...

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China International Conference on Electricity distribution, CICED

作者： Jun Lin Lianmei Zhang Yifan Zhao Hongjian Guo Hankan Tang Jiajia Wei Zhejiang Wuyi Electric Installation Engineering Co.Ltd. Wuyi Zhejiang China Zhejiang Wuyi Power Supply Company State Grid Corporation of China Wuyi Zhejiang China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution networks School of Electrical Engineering and Automation Wuhan University Wuhan Hubei China

ISBN: (数字)9798350368345

ISBN: (纸本)9798350368352

With the increasing scale of distribution networks, the grid-connected operation of multiple energy sources and the uneven quality of energy sources make the structure of distribution networks complex and fragile, increasing the possibility of sudden power outages. Therefore, it is necessary to analyze distribution network outages to improve power supply reliability in distribution networks. Firstly, based on Knowledge Graph technology, which is good at analyzing the relationships between entities, this paper adopts Knowledge Graph technology to analyze the topological relationships of entities in the distribution networks. Secondly, the article describes the types of outage events in distribution networks and proposes the evaluation indexes for evaluating the impact of outage events. Finally, analogous to the backpack problem, the article constructs a distribution grid outage model considering DG and proposes an Optimized Greedy Algorithm for solving distribution grid outage analysis considering DG. Through the PG&E69 simulation example, the article verifies the analysis of the topological connectivity relationship of entities based on the Knowledge Graph and the Optimized Greedy Algorithm to be practical and real-time in the outage analysis considering DG.

关键词： Greedy algorithms Analytical models Power supplies distribution networks Knowledge graphs Switches Real-time systems Power system reliability Reliability Indexes

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Power Source Importance Assessment Based on Load Importance and New Energy Uncertainty

SSRN

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SSRN 2023年

作者： Zhao, Jie Zhang, Yiyang Dong, Xuzhu Wu, Yunzhao Zeng, Haiyan Duan, Qing Zhang, Mingcheng Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan430072 China China Electric Power Research Institute Co. Ltd. Beijing100192 China State Grid Wuhan Power Supply Company Wuhan430072 China

With the increasing penetration of new energy sources, it is crucial to evaluate the importance of loads, traditional power sources and new energy sources in order to cope with the uncertainty of new energy output, ensure the safety and stability of power systems, and the reliability of power supply to important loads. For the differences of different power supply types and different load power supply, this paper proposes a power supply importance evaluation method based on load importance and new energy uncertainty. Firstly, based on the ideal solution method, this paper proposes a load importance evaluation method considering the structural characteristics, outage loss and regulation capacity, etc. Then, the three-point estimation method combined with load importance is used to calculate the comprehensive power supply coefficient of power sources;finally, the importance of different power sources is calculated on the basis of the ideal solution method considering the differences of power source characteristics. Through numerical example analysis, the importance of various power sources is calculated, which can accurately reflect the power supply capacity of power sources to important loads and verify the effectiveness of the method in this paper. © 2023, The Authors. All rights reserved.

关键词： Numerical methods

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Market control strategies for cooperative participation of photovoltaic storage charging stations in peaking auxiliary services

Market control strategies for cooperative participation of p...

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4th Energy Conversion and Economics Annual Forum (ECE Forum 2024)

作者： Yihui Shi Le He Huaimin Xia Dingchao Tang Wei Zhu Shuang Chen Zhengsheng Yin Xinyue Yu State Grid Hubei Electric Power Co. Ltd. Wuhan People's Republic of China Wuhan Charging and Swapping Public Facilities Management Co. Ltd. Wuhan People's Republic of China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan People's Republic of China

ISBN: (数字)9781837242924

The prospect of adjustable loads participating in the peaking market is promising, given the continuous access to renewable energy sources such as wind power, photovoltaics, and user-side flexible loads. In light of the aforementioned considerations, this paper explores the potential of photovoltaic storage and charging systems (PSCS) to contribute to the peaking strategy of the power auxiliary service market. Firstly, a comprehensive framework is developed, comprising an objective function and constraints, through the establishment of a two-layer model of optical storage and charging cooperative participation in the peaking auxiliary service market. Subsequently, the economic and efficient scheduling of peaking services is achieved by optimizing the overall revenue of optical storage and charging and the cost of electric vehicle users, respectively. Finally, an illustrative example is presented to validate the model in a peaking market in a region of North China, with the participatio n of multiple load aggregators in the peaking situation. The results demonstrate the efficacy of the model and identify the regulatory strategy for the coordinated participation of PSCS in peak shifting. This provides a theoretical and empirical foundation for the participation of multiple types of load aggregators in the peak shifting market.

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Study on Search and Correction of Error Dominant Regions in Simulation Based on Measured Trajectories

Study on Search and Correction of Error Dominant Regions in ...

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Power Systems and Electrical technology (PSET), IEEE International Conference on

作者： Lei Wang Ruxiang Pan Rui Lv Junxian Li Xiaoyu Yue Siyang Liao China Yangtze Power Co. Ltd. Laboratory of Hydro-Wind-Solar Multi-Energy Control Coordination Wuhan China Hubei Engineering and Technology Research Center.for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Laboratory of Hydro-Wind-Solar Multi-Energy Control Coordination Wuhan China China Three Gorges Renewables (Group) Co. Ltd. Laboratory of Hydro-Wind-Solar Multi-Energy Control Coordination Beijing China

ISBN: (数字)9798350353204

ISBN: (纸本)9798350353211

With the proposal of the carbon peak and carbon neutrality goal, a significant influx of new energy sources with random and fluctuating characteristics is being integrated into the power grid. Consequently, the adaptability of the traditional four-parameter model, as well as new energy models, to the actual power grid is becoming increasingly prominent. Conversely, simulations often rely solely on the accuracy of models and algorithms and are based on predefined conditions. To address the aforementioned challenges, this paper utilizes PMU-measured data to identify error-dominant regions. Initially, it employs a hybrid dynamic simulation method to partition the power grid simulation system into blocks. Concurrently, it establishes a simulation credibility evaluation system and employs comprehensive simulation credibility to identify error-dominant regions. Subsequently, it iteratively decouples sub-regions to systematically identify error elements. Subsequently, the perturbation method was employed to analyze the trajectory sensitivity of each parameter of the element. Parameters with low sensitivity were assigned typical values, while those with high trajectory sensitivity were chosen for identification. The genetic algorithm was then utilized for online parameter verification and optimization. Finally, the proposed method was validated using RTDS real-time simulation software. Experimental results demonstrate that the calibrated model simulation results exhibit better alignment with measured data, highlighting the accuracy and reliability of the proposed approach.

关键词： Adaptation models accuracy Computational modeling Simulation Power system dynamics Data models Power grids Hybrid power systems Trajectory Load modeling

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research on Multi-source Cooperative Operation Strategy of Urban distribution network Based on Data-driven distributionally Robust

Research on Multi-source Cooperative Operation Strategy of U...

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Electrical engineering and Control Technologies (CEECT), Conference on

作者： Yihui Shi Le He Huaimin Xia Dingchao Tang Wei Zhu Shuang Chen Zhengsheng Yin Mengqi Huang State Grid Hubei Electric Power Co. Ltd. Wuhan Power Supply Company Wuhan China Wuhan Charging and Swapping Public Facilities Management Co. Ltd. Wuhan Power Supply Company Wuhan China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University School of Electrical Engineering and Automation Wuhan University Wuhan China

ISBN: (数字)9798331528096

ISBN: (纸本)9798331528102

The interaction between electric vehicle charging stations(EVCS) and PV, energy storage, and other equipment progressively increases as the penetration rate of electric vehicles and distributed new energy increases. Simultaneously, the safe operation of urban distribution network will be significantly impacted by the volatility and randomness introduced by new energy access. Consequently, the issue of examining the multisource cooperative operation strategy of urban distribution network in light of uncertainty has emerged as a pressing requirement for urgent research and resolution. To address the uncertainty of PV prediction, the data-driven algorithm of the Wasserstein generative adversarial network is employed to generate PV output scenarios. PV typical scenarios are obtained through K-mediods clustering cuts, and the probabilistic confidence intervals of the distribution of the typical scenarios are constrained by the 1 -paradigm and $\infty$-paradigm numbers. Subsequently, the typical scenario data of PV is employed to develop a data-driven distributionally robust urban distribution grid multi-source cooperative operation model that takes into account electric vehicle charging stations, energy storage, and PV. The first stage of this model ascertains the power procured from the primary grid, whereas the second stage identifies the PV power relinquished, the storage charging and discharging capacity, and the equivalent load of the EVCS. Finally, the suggested model’s validity is confirmed using data from an urban distribution network.

关键词： Uncertainty Collaboration distribution networks Cooperative systems Generative adversarial networks Data models Electric vehicle charging Optimization Load modeling Energy storage

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Neural network-Based Integrated Reactive Power Optimization Study for Power Grids Containing Large-Scale Wind Power

SSRN

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SSRN 2023年

作者： Zhao, Jie Zhang, Mingcheng Zhao, Biao Xiao, Du Zhang, Huaixun Shang, Lei Wang, Chenhao Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan 430072 China Dali Power Supply Bureau of Yunnan Electric Power Grid Co.Ltd. Dali 671000 China Electric Power Research institute of Yunnan Electric Power Grid Co.Ltd. Kunming 650217 China

The uncertainty and suddenness of wind power output can significantly change the system tide distribution, making it difficult to adjust the reactive power regulation equipment to the optimal state, and therefore, the power system places higher demands on the rapidity of reactive power optimisation. This paper proposes a neural network-based integrated reactive power optimisation method for power grids with large-scale wind power. Firstly, a comprehensive reactive power optimisation scenario set is established through a typical wind load scenario construction method based on time-series correlation clustering fusion, identifying the system voltage weak points based on the continuous tide method, determining the access points of reactive power compensation equipment, taking into account the turbine reactive power interval constraints, establishing a comprehensive reactive power optimisation model and using the Harris Hawk Finally, the mapping relationship between the grid operation state and the integrated reactive power optimization strategy is deeply fitted by scenario matching and neural networks to reduce the computational effort and decision time of reactive power optimization. The effectiveness of the proposed method is verified by combining the improved IEEE-30 node system arithmetic example. The results show that the construction of typical scenarios can improve the generalisation ability of the neural network, while the neural network can effectively reduce the decision time while ensuring the effectiveness of the reactive power optimisation strategy. © 2023, The Authors. All rights reserved.

关键词： Electric loads

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Neural network-Based Integrated Reactive Power Optimization Study for Power Grids Containing Large-Scale Wind Power

SSRN

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SSRN 2023年

作者： Zhang, Huaixun Zhao, Jie Zhang, Mingcheng Zhao, Biao Xiao, Du Shang, Lei Wang, Chenhao Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan430072 China Dali Power Supply Bureau of Yunnan Electric Power Grid Co.Ltd. Dali671000 China Electric Power Research institute of Yunnan Electric Power Grid Co.Ltd. Kunming650217 China

关键词： Electric loads

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