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检索条件"机构=Key Laboratory of Intelligent Dispatching and Control of Power Grid"

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Virtual power Plant Optimization Scheduling Considering Large-Scale New Energy Connected to the grid

Virtual Power Plant Optimization Scheduling Considering Larg...

引用

System Simulation Technology and its Application (CCSSTA), IEEE China Conference on

作者： Zhiyuan Zhao Xiangyu Kong Delong Zhang Peirong Zhang Jingkai Zhu Qingrong Zheng Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Shanghai Municipal Electric Power Company Shanghai China

ISBN: (数字)9798350366600

ISBN: (纸本)9798350366617

In the context of the current “dual-carbon” strategy, large-scale acquisition of new energy sources will greatly impact the actual power grid due to the intermittent and uncertain nature of wind and solar energy. This paper proposed a virtual power plant (VPP) optimization scheduling considering large-scale new energy connected to the power grid. Firstly, an optimal scheduling scheme for real-time balancing of VPP is established. Then, considering the power deviation compensation mechanism with the objective function of maximizing the expected net profit of the VPPs, an optimal scheduling method is obtained, which deals with the uncertainties brought by new energy and reduces the cost of deviation penalties. The proposed method reduces the bidding deviation penalties by considering the compensation mechanism for the intra-day deviation. The example results show that the model proposed in this paper improves the expected profit of the virtual power plant to a certain extent.

关键词： Wind Uncertainty Wind energy Profitability Optimal scheduling Solar energy Virtual power plants power grids Real-time systems Systems simulation

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A Novel High-Impedance Fault Recognition Method for Multi-terminal HVDC system

A Novel High-Impedance Fault Recognition Method for Multi-te...

引用

2022 IEEE Global Conference on Computing, power and Communication Technologies, GlobConPT 2022

作者： Ding, Hua Huai, Qing Wang, Jing Zhu, Shu Li, Yuye Hu, Zhipeng State Grid Integrated Energy Service Group Co.Ltd Beijing China State Grid Jibei Electric Power Company Limited Electric Power Research Institute Beijing China School of Electrical Engineering and Automation Wuhan University Wuhan China Electric Power Dispatching and Control Center of Hunan Electric Power Co. Ltd. Changsha China State Key Laboratory of Operation Control of Renewable Energy and Storage Systems Beijing China State Grid Zhejiang Electric Power Company Hangzhou Power Supply Company Hangzhou China

ISBN: (数字)9781665493659

ISBN: (纸本)9781665493659

To enhance the protection sensitivity under high-impedance fault, non-unit protection is proposed for the multi-terminal high-voltage dc system based on the theory of variational mode decomposition and energy entropy (VMDEE). The innovation of the protection method is that the VMDEE of pole current and fault impedance are positively correlated. Therefore, the fault indicator of this protection method would increase with fault impedance, which essentially solves the problem of poor protection sensitivity under high-impedance fault. A four-terminal model of the Zhangbei HVDC grid is developed in PSCAD/EMTDC environment for case study, and the fault information is processed using the MATLAB. The reliability and efficiency of this non-unit protection are verified with simulation research considering different influence factors. © 2022 IEEE.

关键词： Variational mode decomposition

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Substation-area Backup Protection Scheme for the Failure of 10kV Line Protection Device

Substation-area Backup Protection Scheme for the Failure of ...

引用

2021 International Conference on Energy, power and Electrical Engineering, EPEE 2021

作者： Wang, Yuxue Liu, Wei Jiao, Shaolin Fang, Zeya Li, Yiquan Wen, Minghao Power Dispatching Control Center of Guangdong Power Grid Guangzhou510600 China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan430074 China

The research on wide-area backup protection for high-voltage transmission lines has made certain progress in recent years, but there are few reports published on substation-area backup protection for low-voltage 10kV transmission lines. Based on the characteristics of shared information in intelligent substation, a substation-area backup protection scheme to deal with the failure of 10kV line protection device is proposed in this paper. This scheme uses the device self-test information and heartbeat mechanism to monitor the operation status of 10kV line protection devices;to realize the substation-area backup protection for the 10kV transmission lines when any line protection device fails, the protection criterion is constructed by the action results of power directional elements of transformer protections and other 10kV line protections. The proposed scheme can greatly improve the speed of the fault isolation and has low requirements for data demand and synchronization. PSCAD simulation results show that the proposed method is with high correctness and feasibility. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Electric lines

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Rolling Optimization Method for Day-Ahead and Intra-Day Coordination of Virtual power Plants Based on Dynamic Weights of Combined Neural Network Predictions

Rolling Optimization Method for Day-Ahead and Intra-Day Coor...

引用

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

作者： Wentao Huang Ming Cheng Xinyue Chang Zhenhua Cui Xinyi Lai Siyu Lu College of Electrical and Power Engineering Energy Internet Key Laboratory of Shanxi Province Taiyuan University of Technology Key Laboratory of Cleaner Intelligent Control on Coal & Electricity Ministry of Education Taiyuan University of Technology Taiyuan China State Key Laboratory of HVDC China Southern Power Grid Electric Power Research Institute China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

As the integration of large amounts of renewable energy into virtual power plants increases, these energy sources' inherent randomness and volatility present significant challenges for optimization and scheduling. To mitigate the economic losses caused by the uncertainty and variability of renewable energy in VPP (Virtual power Plant) operations, this paper introduces an optimization approach that combines weight updating with a hybrid neural network model for wind and solar power forecasting. The method aims to improve the accuracy of solar and wind power predictions using a combined neural network, enhanced with the grey wolf optimization algorithm to speed up model training. Furthermore, a weight updating mechanism, along with a coordinated day-ahead and intra-day scheduling strategy, is employed to enhance the economic efficiency of the optimization process. The proposed forecasting and optimization approach is effective and superior in a small-scale virtual power plant system.

关键词： Training Renewable energy sources Accuracy Neural networks Virtual power plants Predictive models Prediction algorithms Forecasting Wind forecasting Optimization

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Research on power Electronics Converter Real-time Simulation Modeling Method Based on SILDP

Research on Power Electronics Converter Real-time Simulation...

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power Science and Technology (ICPST), IEEE International Conference on

作者： Jin Liu Pengbo Han Zeqi Hong Hui Luo Siyang An Shujun Yao School of Electrical and Electronic Engineering North China Electric Power University Beijing China 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 Guangzhou China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

Generally, detailed model of power electronics converter is used in electromagnetic transient simulations. It will use large sources of hardware in FPGA and the speed of simulation is slow. This paper is focus on the modeling method of real-time simulation, and proposed a new model of converter which based on the semi-implicit latency decoupling and paralleling (SILDP) technology. According to the proposed model, the SILDP model of voltage source converter(VSC) is build up. Base on the comparative between the SILDP VSC model and the simulation result waveform of PSCAD model, give the verification that the accuracy and effectiveness of the proposed SILDP VSC model. Finally, the SILDP VSC model is finished the verification in the FPGA experiment platform.

关键词： Accuracy Computational modeling Simulation Voltage Mathematical models Real-time systems Numerical models

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Blockchain-based High-reliability Recovery and Verification Mechanism for power Data Storage Nodes

Blockchain-based High-reliability Recovery and Verification ...

引用

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

作者： Zhongmiao Kang Donghai Huang Yubeng Bao Zanhong Wu Chang Liu Electric Power Dispatching Control Center Guangdong Power Grid Co. Ltd. Guangzhou China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

To solve the problem of low utilization of power data storage resources, this paper proposes a high-reliability recovery and verification mechanism for power data storage nodes based on blockchain. In this mechanism, during the restoration process of power data storage nodes, participants include nodes to be restored, restoration nodes, and other nodes. The mechanism includes three steps: the node to be recovered sends a data recovery request and is verified, the data is recovered, and the data is verified as a whole. In the data recovery step, the node to be recovered and the recovery node adopt the mechanism of data block transmission and verification to transmit and verify the data block by block. In the step of verifying the entire data, when the node to be restored obtains all the data from the restored node, the MD5 overall verification strategy is adopted to verify the data. In the performance analysis part, through the reliability analysis of the two steps of recovery check and recovery response, it is verified that the data recovery mechanism proposed in this paper has high reliability.

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Optimization of Robot End-Effector Load Gravity Compensation for Unmanned Live Work in Electric power Distribution Networks Based on Improved PSO Algorithm

Optimization of Robot End-Effector Load Gravity Compensation...

引用

2023 China Automation Congress, CAC 2023

作者： Chen, Jinge Chen, Xin Hu, Chenyu Huang, Guangxian Sun, Shu Jian, Xu School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Ministry of Education Engineering-Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China State Grid Hubei Electric Power Co. Ltd. Xianning Power Supply Company Distribution Department Xianning437000 China State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Equipment Technology Center Wuhan430077 China

ISBN: (纸本)9798350303759

In the field of electric power distribution network operation, most tasks involve contact operations. A key technology to enable the flexible operation of robots in live distribution network tasks is the installation of six-dimensional force sensors on the robot's end flange. These sensors allow the robot to perceive external environmental contact forces. However, the presence of the end load interferes with the accurate perception of external forces. Aiming at the gravity compensation of robot end load, an optimization algorithm of gravity compensation based on particle swarm optimization is proposed. In this method, the optimal solution model is established with the objective of minimum sum of squared errors, and the particle swarm optimization algorithm is used to estimate the mounting declination angle of the force sensor and improve the precision of gravity compensation. The experiments show that the proposed method can effectively reduce the maximum gravity compensation error and the average gravity compensation error in each direction after optimization, in which the maximum gravity compensation error of the resultant force is reduced by 9.11% and the average gravity compensation error of the resultant force is reduced by 12.34%. © 2023 IEEE.

关键词： Error compensation

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Optimization and Scheduling of Wind-Photovoltaic-Integrated Energy System Based on ISSA

Optimization and Scheduling of Wind-Photovoltaic-Integrated ...

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Clean Energy Storage and power Engineering (CESPE), International Conference on

作者： Shunyu Wu Xiangyu Kong Shuai Luo Yang Wang Yi Gao Tianchun Xiang Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Economic and Technical Research Institute of State Grid Tianjin Electric Power Company Tianjin China China State Grid Tianjin Electric Power Company Tianjin China

ISBN: (数字)9798331511708

ISBN: (纸本)9798331511715

A multi-objective scheduling model of the park integrated energy system (PIES) with an improved Sparrow Search Algorithm (ISSA) is proposed for the problem of economy, stability, and environmental protection of PIES containing photovoltaic cells, wind turbines, and batteries. PIES includes three kinds of electricity, heat, and gas loads, as well as coal-fired units, gas units, wind, and photovoltaic power generation units. Aiming at the economic dispatching problem of PIES by dispatching model of PIES of the park is carried out. Economic cost and utilization rate of clean energy are taken as objective functions. The ISSA algorithm is used to solve the multi-objective function, and the example analysis shows that the proposed model is conducive to reducing the total cost of system operation. The result of the example verifies the feasibility, superiority, and applicability of ISSA in solving the multi-objective optimal scheduling store.

关键词： Green energy Costs Spirals Systems operation Optimal scheduling Wind power generation dispatching Stability analysis Wind turbines Load modeling

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Research on Active Support control Strategy and its Performance of Renewable Energy power Station with Multiple Energy Sources

Research on Active Support Control Strategy and its Performa...

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

作者： Guanming Zeng Liang Tu Yihua Zhu Yun Hu Chao Luo Shengnan Li 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 Kunming Yunnan

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.

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Hierarchical Optimal Allocation of grid-Type Energy Storage for Offshore Wind power Based on Chaotic Mapping Algorithm

Hierarchical Optimal Allocation of Grid-Type Energy Storage ...

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IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Wenlong Yang Xiangyu Kong Jiancun Liu Baoyi Zhang Ying Zhou Shaoxiong Wei Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China Tianjin University Key Laboratory of Smart Grid of Ministry of Education Tianjin China BEIJING Engineering Corporation Limited Beijing

ISBN: (数字)9798331517540

ISBN: (纸本)9798331517557

A multi-objective optimization model for grid-type energy storage is proposed to address the needs of inertia support and economical operation in offshore wind power systems under the new energy “double high” context. The model uses fixed capacity as the upper structure and considers storage capacity and location as decision variables to improve the system economy by accounting for various costs. At the lower layer, the model optimizes the charging and discharging states of the grid -type energy storage, enhancing voltage stability by considering system voltage and losses. A voltage stability index is used to identify weak nodes for pre-selecting address nodes, thereby improving solving efficiency. The model's effectiveness is validated using modified IEEE33 nodes, demonstrating that optimized grid-configured energy storage can enhance system stability and reduce operating costs.

关键词： Costs Optimization models Stability criteria Voltage power system stability Wind power generation Resource management Indexes Optimization Energy storage

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