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Combined Wind-Storage Frequency Modulation control Strategy Based on Fuzzy Prediction and Dynamic control

energy Engineering 2024年第12期121卷 3801-3823页

作者： Weiru Wang Yulong Cao Yanxu Wang Jiale You Guangnan Zhang Yu Xiao Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology of the Ministry EducationJilin132012China State Grid Songyuan Electric Power Supply Company Songyuan138000China

To ensure frequency stability in power systems with high wind penetration,the doubly-fed induction generator(DFIG)is often used with the frequency fast response control(FFRC)to participate in frequency ***,a certain output power suppression amount(OPSA)is generated during frequency support,resulting in the frequency modulation(FM)capability of DFIG not being fully utilised,and the system’s unbalanced power will be increased during speed recovery,resulting in a second frequency drop(SFD)in the ***,the frequency response characteristics of the power system with DFIG containing FFRC are ***,based on the analysis of the generation mechanism of OPSA and SFD,a combined wind-storage FM control strategy is proposed to improve the system’s frequency response *** strategy reduces the effect of OPSA and improves the FM capability of DFIG by designing the fuzzy logic of the coefficients of FFRC according to the system frequency index in the frequency support *** the speed recovery stage,the energy storage(ES)active power reference value is calculated according to the change of DFIG rotor speed,and the ES output power is dynamically adjusted to reduce the ***,taking the IEEE 39-bus test system as an example,real-time digital simulation verification was conducted based on the RTLAB OP5707 simulation *** simulation results showthat theproposedmethodcan improve theFMcapabilityofDFIG,reduce the SFDunder thepremise of guaranteeing the rapid rotor speed recovery,and avoid the overshooting phenomenon so that the systemfrequency can be quickly restored to a stable state.

关键词： Doubly-fed induction generator frequency fast response control output power suppression amount frequency response characteristics second frequency drop combined wind-storage

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power system Transient Stability Assessment Method Based on CapsNet

Power System Transient Stability Assessment Method Based on ...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Tian, Xu An, Jun Mu, Gang Department of Electrical Engineering Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Jilin China

ISBN: (纸本)9781728135205

This paper addresses the need to make judgments quickly and accurately after a transient stability failure in the power system. A method for transient stability assessment of power systems based on CapsNet is proposed. This method does not require manual calculation and is based directly on simulation data. Using the self-learning ability of the CapsNet and strong feature extraction ability, the offline training model is used to find the mapping relationship between the input data set and the transient stability, and then online evaluation. This paper effectively improves the accuracy of the evaluation by constructing the input data matrix;By improving the parameters in the network, the calculation speed is effectively improved, and the robustness and generalization ability of the model are enhanced. The idea of "fast measurement, fast resolution, fast control" has been achieved. The simulation results of IEEE-39 node system verify the effectiveness of the proposed method, and the proposed method is superior to the evaluation model of other machine learning methods. © 2019 IEEE.

关键词： Feature extraction

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Robust Voltage control Considering Uncertainties of renewable Energies and Loads via Improved Generative Adversarial Network

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Journal of modern power systems and Clean energy 2020年第6期8卷 1104-1114页

作者： Qianyu Zhao Wenlong Liao Shouxiang Wang Jayakrishnan Radhakrishna Pillai the Key Laboratory of Smart Grid of Ministry of Education and Tianjin Key Laboratory of Power System Simulation and Control Tianjin UniversityTianjinChina the Department of Energy Technology Aalborg UniversityAalborgDenmark

The fluctuation of output power of renewable energies and loads brings challenges to the scheduling and operation of the distribution *** this paper,a robust voltage control model is proposed to cope with the uncertainties of renewable energies and loads based on an improved generative adversarial network(IGAN).Firstly,both real and predicted data are used to train the IGAN consisting of a discriminator and a *** noises sampled from the Gaussian distribution are fed to the generator to generate a large number of scenarios that are utilized for robust voltage control after scenario ***,a new improved wolf pack algorithm(IWPA)is presented to solve the formulated robust voltage control model,since the accuracy of the solutions obtained by traditional methods is *** simulation results show that the IGAN can accurately capture the probability distribution characteristics and dynamic nonlinear characteristics of renewable energies and loads,which makes the scenarios generated by IGAN more suitable for robust voltage control than those generated by traditional ***,IWPA has a better performance than traditional methods in terms of convergence speed,accuracy,and stability for robust voltage control.

关键词： Robust voltage control uncertainty generative adversarial network wolf pack algorithm

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FAULT DIAGNOSIS METHOD FOR DC DISTRIBUTION NETWORKS BASED ON SEMITENSOR PRODUCT BAYESIAN NETWORKS 6

FAULT DIAGNOSIS METHOD FOR DC DISTRIBUTION NETWORKS BASED ON...

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6th International Scientific and Technical Conference Relay Protection and Automation, RPA 2023

作者： Wang, He Li, Shiqiang Yu, Huanan Bian, Jing Wei, Bo Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

ISBN: (纸本)9798350382334

关键词： Bayesian networks

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Short-Term Load Forecasting of Smart Grid Based on Load Spatial-Temporal Distribution

Short-Term Load Forecasting of Smart Grid Based on Load Spat...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Yan, Gangui Han, Tianyi Zhang, Wei Zhao, Shujian Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Ji Lin China

ISBN: (纸本)9781728135205

Various incentives in the smart grid, which force power consumer to take respond demand and change the characteristics of load, will affect power load forecasting. In this paper, it is concluded that the load spatial-temporal distribution and the load are relevant in the smart grid, and the impact of load spatial-temporal distribution is considered in forecasting model. It sifted multivariate load series highly relevant to prediction point with correlation analysis, and modeled the load series from the viewpoint of time with long short-term memory (LSTM). By comparing with the artificial neural network and support vector machine, it is verified that the model proposed has higher accuracy. © 2019 IEEE.

关键词： Long short-term memory

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Carbon Emissions Constraint Distributed Low-carbon Economic Dispatch of power system 7

Carbon Emissions Constraint Distributed Low-carbon Economic ...

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7th IEEE International Conference on power and renewable energy, ICPRE 2022

作者： Li, Junhui Shao, Yan Zhu, Xingxu Li, Cuiping Ministry of Education Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Jilin132012 China

ISBN: (数字)9781665450638

ISBN: (纸本)9781665450638

In order to meet the emission reduction requirements of integrated energy power system, the global inequality constraint is added to the economic dispatch model to reduce the carbon emission of the system by regulating the output of the unit, but it is difficult to achieve distributed solution. In order to solve the distributed low-carbon economic scheduling problem with global inequality constraints, a distributed economic scheduling solution method is proposed based on the existing research results. This method is based on dual theory and variable decomposition method to decompose it into sub-problems related to each virtual power generation unit (Agent). The alternating direction multiplier method (ADMM) algorithm is used to realize distributed economic scheduling through the exchange and iteration of Lagrange multiplier information between adjacent Agents, and meet the demand of "plug and play"of the optimization unit. Finally, the effectiveness of the proposed method is verified by an IEEE-6-bus system. © 2022 IEEE.

关键词： Lagrange multipliers

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A novel frequency regulation control strategy based on the external characteristics of PV generation 8

A novel frequency regulation control strategy based on the e...

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8th renewable power Generation Conference, RPG 2019

作者： Yan, Gangui Wang, Dan Jia, Qi Hu, Wenbo Zhou, Guoqing Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

ISBN: (纸本)9781839531255

Large-scale grid-connected PV generation results in the power system facing with the problem of reduced inertia and inadequate frequency regulation capability, which is urgent for PV generation to take participate in frequency regulation. In this paper, the research object is the double-stage PV generation, a novel frequency regulation control strategy based on the external characteristics of PV generation is proposed. f-UPV compensation is introduced into DC low-voltage control loop, which makes the DC low-voltage vary with the grid frequency, thus controlling the output power of PV generation. The influence mechanism of the control strategy on the frequency dynamic process of power system is also analysed based on the frequency response model (SFR). The results show that: the larger the ΔUPV generated by the f-UPV compensation unit, the more power of PV generation can be generated;the control strategy essentially affects the damping coefficient of the system, which not only affects the transient process of the system frequency, but also the steady-state frequency deviation. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Frequency response

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power grid frequency regulation participated by photovoltaic generation to adapt to different control modes of grid-side AGC 8

Power grid frequency regulation participated by photovoltaic...

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8th renewable power Generation Conference, RPG 2019

作者： Yan, Gangui Hu, Wenbo Jia, Qi Wang, Dan Zhou, Guoqing Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

ISBN: (纸本)9781839531255

Large-scale grid-connection of photovoltaic (PV) generation causes the power system to face the problem of insufficient inertia and insufficient frequency modulation capability. One of the important means to solve this problem is to take part in grid frequency regulation actively. On the basis of spare certain active power, this paper puts forward the active power-frequency droop control strategy. By modifying the original control structure of the inverter, PV generation actively takes part in the grid frequency primary regulation. In order to achieve non-error adjustment of frequency, this paper further proposes a secondary frequency regulation control strategy that adapts to different grid-side AGC control modes (constant frequency control mode, constant tie line power control mode and tie line power frequency deviation control mode). The effectiveness and feasibility of the control strategies are verified based on the PSCAD/EMTDC simulation platform. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Frequency modulation

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power Source Flexibility Margin Quantification Method for Multi-energy power systems Based on Blind Number Theory

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CSEE Journal of power and energy systems 2023年第6期9卷 2321-2331页

作者： Bai Xiao Jialiang Wang Zhiwen Xiao Gangui Yan Ling Dong Maochun Wang Hongzhi Yang the Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China Chengde Power Supply Company State Grid Jibei Electric Power CompanyChengde 067000China State Grid Qinghai Electric Power Company Xining 810008China

The grid connection of a high proportion of re-newable energy generation increases the uncertainty in power ***,the flexibility margin of different energy sources needs to be quantified to cope with the uncertainty change and maintain the dynamic balance of power system *** this paper,first,the flexibility characteristics of source,net,load and power and load community(PLC)are *** dynamic equilibrium relationship among them is briefly ***,taking into full consideration the complex output characteristics of different energy sources and combining their respective flexibility characteristics,a quantitative model of the power source flexibility margin for thermal power,hydro-power,gas power and concentrating solar power is established.A quantitative model for a power source flexibility margin in PV and wind power based on blind number theory is ***,the calculation method of theoretical power generation capacity,which can reflect different characteristics of output power of various energy sources,is *** actual output power of each power source in each period is ***,a case study shows that the model and method can consider the operating characteristics of different types of power sources,and quickly and accurately quantify the adjustable range of flexibility margins of each power source at different periods of time,which can provide an important basis for evaluating the capacity of renewable energy consumption and the optimal operation of multi-energy power systems(MEPSs).

关键词： Load forecasting multi-energy power system power generation capacity power source flexibility margin

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Analytic Mechanism for the Cumulative Effect of Wind power Fluctuations from Single Wind Farm to Wind Farm Cluster

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CSEE Journal of power and energy systems 2022年第5期8卷 1290-1301页

作者： Gang Mu Fangze Wu Xiaoping Zhang Ziheng Fu Bai Xiao Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China Department of Electronic Electrical and Systems EngineeringSchool of EngineeringUniversity of BirminghamBirmingham B152TTU.K

The use of wind power is rapidly growing worldwide as a means of reducing carbon emissions for the energy *** has the world’s largest wind power installation and multiple large-scale wind farm clusters,each comprising dozens of wind *** the planning and operation of the power system,it is important to understand the power fluctuation characteristics of wind farm *** studies demonstrate that the relative power fluctuation of a wind farm cluster is less than that of a single wind *** this decreasing trend a random occurrence or does it have a regular pattern?This scientific question is addressed by investigating the mechanism of the cumulative effect of a wind farm *** this study,a cumulative model is proposed by examining the spatiotemporal relationships of wind power variations and wind farm *** gain function and critical cumulative frequency are defined as the foundations to analytically describing the cumulative *** investigating the cumulative effect mechanism,the relationship between power fluctuation and spatiotemporal parameters of the wind farm cluster are *** power fluctuation of a cluster can be predicted using the cumulative model even before it is completely *** mechanism of the cumulative effect is validated on the basis of the data of two actual wind farm clusters.

关键词： Analytic mechanism cumulative effect evolution regularity wind farm cluster wind power fluctuation

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