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International Conference on Electrical Materials and power Equipment (ICEMPE)

作者： Xiaoqian Zhu Yuanxiang Zhou Yunxiao Zhang Ming Chen Xuanhao Liu State Key Lab of Control and Simulation of Power System and Generation Equipment & Department of Electrical Engineering Tsinghua University Beijing China College of Electrical Engineering and Automation Fuzhou University Fuzhou China Xiamen Power Supply Company State Grid Fujian Electric Power Company Xiamen China The Wind Solar Storage Division of State Key Laboratory of Control and Simulation of Power System and Generation Equipment School of Electrical Engineering Xinjiang University Urumqi China

Enhancing the electrical performance of silicone rubber (SiR) for cable accessories is noteworthy as they are almost the weakest parts of the cable system. Two types of voltage stabilizers were grafted onto the surface of nano-zirconia (ZrO 2 ) particles, and the grafted nanoparticles were added to the SiR. Measurements such as breakdown strength, and conductivity were carried out to evaluate the electrical performance of SiR nanocomposites. The electrical performance measurement results indicated that the breakdown strength of the nanocomposite SiR improved while the conductance current was reduced. The trap distribution showed that the improvement of the electrical performance of the nanocomposite SiR is mainly due to the decrease of the shallow trap density or the increase of the deep trap density.

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simulation Testing of Large-Scale Grid-Connected Wind power with Energy Storage System Based on Active Support Performance Evaluation Indices

Simulation Testing of Large-Scale Grid-Connected Wind Power ...

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Electrical Engineering and Automation (IFEEA), International Forum on

作者： Yihua Zhu Yun Hu Liang Tu Mingzhang Su Chao Luo State Key Laboratory of HVDC Electric Power Research Institute CSG Guangzhou China 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 CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

This paper establishes simulation modeling for large-scale grid connected wind power with energy storage system (ESS). The conventional grid-following (GFL) based ESS is used as a reference object to test the active support performance of large-scale grid-connected wind power with grid-forming (GFM) based ESS with active support performance evaluation indices in different scenarios. (1) Small disturbance evaluation indices: The point of common coupling (PCC) frequency/voltage drop depth and recovery time. (2) Large disturbance evaluation indices: The PCC frequency/voltage drop depth and rise height after fault removal. The output active/reactive power drop depth and rise height/recovery time after fault removal. (3) Island capability evaluation indices: The PCC frequency/voltage fluctuation amplitude at the moment of switching and system stability after switching.

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Dynamic Identification for a Manipulator Model based on Stribeck Friction using the Quasi-Newton Iterative Method

Dynamic Identification for a Manipulator Model based on Stri...

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2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023

作者： Xiao, Feng Zhang, Feilong Han, Bing Zhang, Hualiang Shenyang University of Technology School of Information Science and Engineering Shenyang110870 China University of Chinese Academy of Sciences Beijing100049 China Shenyang Institute of Automation Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China School of Mechanical Engineering Zhejiang University State Key Laboratory of Fluid Power and Mechatronic Systems Hangzhou310027 China

ISBN: (纸本)9798350325706

The performance of dynamic control is intimately tied to modeling accuracy. However, traditional estimation methods and friction models, such as the least squares method and the Coulomb plus viscous model, fail to reflect the actual characteristics accurately. Particularly, the linear nature of the Coulomb plus viscous model overlooks the nonlinear static features of joint friction at slower velocities. To improve the rationality of the model structure, we integrate the Stribeck friction model into the Coulomb plus viscous model. However, introducing such nonlinearities compromises the applicability of the least squares method. As a countermeasure, we propose a new strategy that combines the least square method and the Quasi-Newton iterative method to identify the parameters of the modified nonlinear model. Additionally, the design of the excitation trajectory is critical to achieve high identification accuracy. We utilized the inverse of the smallest singular value of the observation matrix as the objective function. By minimizing it with the interior point method, we generate the excitation trajectory well-suited to stimulate dynamic characteristics. Then we leverage the discrepancies between the measured and estimated torques to assess the precision of the dynamic parameters of the manipulator. Remarkably, our proposed algorithm reduces the mean absolute error of the estimated torque by over 20.40%. Finally, an experiment of the industrial manipulator by hand guiding grab and drag is performed and shows that the proposed approach can provide the manipulator with comprehensive torque compensation. © 2023 IEEE.

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Research on Wind Turbine control Hardware in Loop Real-time simulation and its Application

Research on Wind Turbine Control Hardware in Loop Real-time ...

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Sustainable power and Energy Conference (iSPEC)

作者： Guanming Zeng Liang Tu Yihua Zhu Chengxiang Li Mingqun Liu Peng He State Key Laboratory of HVDC and CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid and National Energy Power Grid Technology R&D Centre and Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou Guangdong Yunnan Power Grid Co. Ltd. Electric Power Research Institute Kunming Yunnan

With the construction of new power system, high-capacity renewable energy sources including wind power are integrated into the power system, whose transient response characteristics have a significant impact on the safe and stable operation of both renewable energy sources and power system. Real-time simulation has become an effective method to study interaction between high-capacity renewable energy sources and power system because of its high accuracy and reliability, and precise wind turbine real-time simulation model is of great significance in research mentioned above. Therefore, the wind turbine control hardware in loop (CHIL) real-time simulation method is proposed in the paper, whose feasibility and accuracy are also verified by comparing simulation data from CHIL platform and on-site testing data. It’s further used in the analysis of large-scale offshore wind farm cluster and connected power system as a practical reference case.

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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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A Short-Term Wind power Forecasting Method With Self-Supervised Contrastive Learning-Based Feature Extraction Model

A Short-Term Wind Power Forecasting Method With Self-Supervi...

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International Youth Conference on Energetics (IYCE)

作者： Nanyang Zhu Kaifeng Zhang Ying Wang Huiping Zheng Yanxia Pan Xueting Cheng Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing Jiangsu China State Grid Shanxi Electric Power Research Institute Shanxi China State Grid Shanxi Electric Power Company Shanxi China

ISBN: (数字)9798350372380

ISBN: (纸本)9798350372397

It is significant and challenging to forecast wind power through the knowledge learned from the historical meteorological variables and wind power itself. So far, this knowledge has been learned based on supervised learning, which is insufficient in capturing semantic dependencies between variables and cannot provide a stability model. This work proposed an unsupervised representation learning-based short-term wind power prediction method using sequences contrastive technique. This representation learning model is mainly composed of the input encoder module, feature extraction module, contrastive learning module, and regression module. The feature extraction module which fuses multiple encoders can extract abundant feature vectors from the multi-source embedding of the input encoder module. The loss function in the contrastive learning module attempts to distinguish positive pairs and negative pairs that are generated from the feature extraction module. Eventually, the regression model uses the fully learned representation matrix for the power estimation. In order to explore the feasibility of this method in wind power prediction, the benefits under different prediction intervals are studied separately through some classic evaluation criteria, and comparing the proposed representation learning-based forecasting with other state-of-the-art methods. The results show that the knowledge learned from this model can generate improved performance with reliability and effectiveness with a 6-hour prediction horizon, and allow the development of short-term wind power forecast.

关键词： Representation learning Supervised learning Stability criteria Contrastive learning Wind power generation Predictive models Feature extraction

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FPGA-based Adaptive Variable Step MPPT Real Time simulation for Photovoltaic systems

FPGA-based Adaptive Variable Step MPPT Real Time Simulation ...

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2020 International Conference on Smart Grid and Energy Engineering, SGEE 2020

作者： He, Ruxun Wang, Shouxiang Zhang, Chunyu Ma, Qi Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin300072 China Tianjin Key Laboratory of Power System Simulation and Control Tianjin University Tianjin300072 China State Grid Tianjin Electric Power Company Tianjin300010 China

In order to obtain more output power, maximum power point tracking (MPPT) control technology is usually designed to track the maximum power of photovoltaic (PV) array. The traditional power disturbance observation method tends to cause power oscillation loss, so an adaptive variable step algorithm is presented to balance the tracking accuracy and speed of PV system. Different from off-line simulation, the overall model is built on FPGA to complete the real time digital realization of MPPT control for PV system. Finally, the model is simulated and verified by ModelSim software. The experimental results show that the system can track the maximum power more quickly and accurately in real time. © Published under licence by IOP Publishing Ltd.

关键词： Field programmable gate arrays (FPGA)

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Photovoltaic inverter model parameter testing method based on on-site operation data and hardware in the loop testing

Photovoltaic inverter model parameter testing method based o...

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12th International Conference on Renewable power Generation (RPG 2023)

作者： X. Zhang G. Yao W. Dong M. Ding State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing People's Republic of China

ISBN: (数字)9781839539497

As the penetration rate of new energy increases, the interactions between new energy power stations and grid are becoming stronger. GB 38755-2019 "Code on security and stability for power system" clarifies new requirements for photovoltaic power generation from the perspective of power systems. Accurate photovoltaic power station models are the basis for conducting photovoltaic grid connection analysis, and have significant practical applications for analyzing photovoltaic power station access to power systems. Currently, the electromechanical transient model parameters of photovoltaic inverters are obtained based on laboratory parameter test data, without considering the optimization of photovoltaic inverter parameters under different grid conditions on site, resulting in significant deviations between the existing photovoltaic inverter model external characteristics and the on-site photovoltaic inverter operating characteristics of the power station. Therefore, this paper specifies the photovoltaic inverter model parameter requirements based on the power system simulation analysis requirements, proposes a photovoltaic inverter model parameter testing method based on on-site operation data and hardware in the loop testing. carries out key parameter identification based on particle swarm optimization algorithm. Finally, the correctness and feasibility of the proposed parameter testing method is verified based on a photovoltaic power station case in northwest China.

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A Hybrid Algorithm Introducing Cross Mutation and Non-linear Learning Factor for Optimal Allocation of DGs and Minimizing Annual Network Loss in the Distribution Network

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IAENG International Journal of Applied Mathematics 2021年第3期51卷 1-18页

作者： Chen, Gonggui Li, Shitao Long, Hongyu Zeng, Xianjun Kang, Peng Zhang, Jinming Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing400065 China Chongqing Key Laboratory of Complex Systems and Bionic Control Chongqing University of Posts and Telecommunications Chongqing400065 China State Grid Chongqing Electric Power Company Chongqing400015 China Economic and Technology Research Institute State Grid Chongqing Electric Power Company Chongqing401120 China

Distributed generators (DGs) are recognized as an effective method for controlling the power loss, voltage stability, etc.. In this paper, a novel hybrid algorithm of beetle antennae search (BAS) and particle swarm optimization (PSO) is presented for optimal allocation of DGs in radial distribution network. The BAS describes the beetle’s individual search by smell, PSO describes the group search of birds by location. The proposed algorithm combines their advantages, proceeds with individual optimization while conducting group optimization. Therefore, the proposed algorithm searches widely, and converges fast. In this paper, a series of improvement measures are proposed to deal with the shortcoming of PSO-BAS which is easy to fall into local optimum. These methods include equal interval initialization, cross mutation, and non-linear learning factor. This paper will show the comparison results of PSO-BAS and IPSO-BAS in the six confessed test functions to prove the necessity of the improved methods. Simultaneously, in order to verify the feasibility and effectiveness of this proposed algorithm in terms of practical application, it is tested on the standard IEEE 33-bus, IEEE 69-bus and IEEE 119-bus systems. The results of active power loss and voltage stability show that proposed algorithm is more effective and more suitable for the power distribution system than other algorithms. At the same time, this article also explores the impact of new energy sources on the annual network loss. Besides, a method for optimizing the annual network loss is proposed. Here, the IPSO-BAS algorithm is used to adjust the size of multiple biomass energy sources within 24 hours to optimize the network loss, and a comparison plan is designed to verify the feasibility of the proposed method. According to the final result, this proposed method can greatly reduce the annual network loss. © 2021. All Rights Reserved.

关键词： Particle swarm optimization (PSO)

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Optimization and application of reactive power control strategy of photovoltaic power station fault ride-through considering grid loss

Optimization and application of reactive power control strat...

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12th International Conference on Renewable power Generation (RPG 2023)

作者： X. Lin B. Wu J. Zhang M. Liu State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems(China Electric Power Research Institute) Nanjing People's Republic of China

When the power grid fails, the reactive power support capacity of the photovoltaic power station is an important indicator of the grid-connected performance of the photovoltaic power station. In order to solve the problem of insufficient reactive power support capacity during the fault ride-through of the current photovoltaic power station, this paper proposes a reactive power control strategy of photovoltaic power station fault ride-through considering the loss of the grid. Firstly, according to the internal grid structure of the photovoltaic power station, the whole station model is established, and the reactive current at the gridconnected point is taken as the control target, and the reactive power response current that the inverter should output under various faults is simulated and calculated. Then, taking the reactive power response current that the inverter should output as the goal, the inverter reactive power control strategy is optimized so that the reactive power output of the whole station meets the requirements of the power grid. Finally, the 30MW photovoltaic power station fault ride-though reactive power control strategy is optimized and verified, and the rationality and effectiveness of the reactive power control strategy are verified.

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