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Constructing an Energy Function for Power Systems with DFIGWT Generation Based on a Synchronous-generator-mimicking Model

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CSEE Journal of Power and Energy Systems 2022年第1期8卷 64-75页

作者： Yang Liu Chenying Xu Zehui Lin Kaishun Xiahou q.h.wu the School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China

In this paper we construct an energy function for multi-machine power systems with doubly-fed induction generator-based wind turbine(DFIGWT)according to a synchronous-generator-mimicking(SGM)model of the *** SGM model is proposed to approximate the dynamics of a *** to the modelling of a synchronous generator(SG),the internal dynamics of a DFIGWT are also described with differential equations of newly constructed virtual rotor angle and internal electromotive force(EMF)in the SGM ***,the power flow of a DFIGWT is expressed by nonlinear functions of its virtual rotor angle and internal *** SGM model bridges the gap between the irregular and complex modelling of DFIGWTs and the well-developed energy function construction techniques for SG *** on the SGM model,a numerical energy function is constructed for power systems with DFIGWT *** theoretical analysis and numerical studies were undertaken to validate that the proposed energy function satisfies the necessary conditions for an energy function of a power system.

关键词： DFIGWT energy function multi-machine power systems synchronous-generator-mimicking model

Detection of false data injection attacks on power systems using graph edge-conditioned convolutional networks

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Protection and Control of Modern Power Systems 2023年第2期8卷 1-12页

作者： Bairen Chen q.h.wu Mengshi Li Kaishun Xiahou School of Electric Power Engineering South China University of TechnologyGuangzhou 510641China

State estimation plays a vital role in the stable operation of modern power systems,but it is vulnerable to cyber *** data injection attacks(FDIA),one of the most common cyber attacks,can tamper with measure-ment data and bypass the bad data detection(BDD)mechanism,leading to incorrect results of power system state estimation(PSSE).This paper presents a detection framework of FDIA for PSSE based on graph edge-conditioned convolutional networks(GECCN),which use topology information,node features and edge *** deep graph architecture,the correlation of sample data is effectively mined to establish the mapping relationship between the estimated values of measurements and the actual states of power *** addition,the edge-conditioned convolution operation allows processing data sets with different graph *** studies are undertaken on the IEEE 14-bus system under different attack intensities and degrees to evaluate the performance of *** results show that GECCN has better detection performance than convolutional neural networks,deep neural net-works and support vector ***,the satisfactory detection performance obtained with the data sets of the IEEE 14-bus,30-bus and 118-bus systems verifies the effective scalability of GECCN.

关键词： Power system state estimation(PSSE) Bad data detection(BDD) False data injection attacks(FDIA) Graph edge-conditioned convolutional networks(GECCN)

Stochastic Accelerated Alternating Direction Method of Multipliers for hedging Communication Noise in Combined heat and Power Dispatch

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CSEE Journal of Power and Energy Systems 2023年第2期9卷 696-706页

作者： Zhigang Li Xinyu Liang Fan hu Wen Xiong Renbo wu J.h.Zheng q.h.wu School of Electric Power Engineering South China University of TechnologyGuangzhou 510641China Guangzhou Power Supply Bureau Guangdong Power Grid Co.LtdGuangzhouChina

Combined heat and power dispatch(ChPD)opens a new window for increasing operational flexibility and reducing wind power *** power and district heating systems are independently controlled by different system operators;therefore,a decentralized solution paradigm is necessary for ChPD,in which only minor boundary information is required to be exchanged via a communication ***,a nonideal communication environment with noise could lead to divergence or incorrect solutions of decentralized *** bridge this gap,this paper proposes a stochastic accelerated alternating direction method of multipliers(SA-ADMM)for hedging communication noise in *** algorithm provides a general framework to address more types of constraint sets and separable objective functions than the existing stochastic *** from the single noise sources considered in the existing stochastic approximation methods,communication noise from multiple sources is addressed in both the local calculation and the variable update *** studies of two test systems validate the effectiveness and robustness of the proposed SAADMM.

关键词： Alternating direction method of multipliers combined heat and power dispatch communication noise decentralized optimization

Fault Location in Distribution System Using Convolutional Neural Network Based on Domain Transformation

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CSEE Journal of Power and Energy Systems 2021年第3期7卷 472-484页

作者： Yang Yu Mengshi Li Tianyao Ji q.h.wu School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China

Distribution lines are integral parts of the modern power system,which can affect the security and stability of power supply *** effective power system protection scheme should be able to detect all occurring faults as soon as *** are two tasks in fault *** is the fault classification,where high accuracy rates have already ***,this paper focuses on the other task,*** *** by Fourier transform,this paper proposes an online data-driven method,which transforms signals from time domain to image domain through signal-to-image(SIG)algorithm and then process the transformed images with framework based on convolutional neural network(CNN).On the one hand,we can extract more crucial characteristic and information from image *** the other hand,the CNN-based structure is much smaller than *** needs less memory space and would be easier to be transplanted to hardware ***,the proposed algorithm does not require synchronous *** numerical comparison shows that the proposed SIG-CNN fault location model achieves robust and accurate results compared with other data-driven algorithms.

关键词： Convolutional neural network distribution lines domain transformation fault location

Cascaded Sliding-mode Observer and Its Applications in Output Feedback Control Part I:Observer Design and Stability Analysis

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CSEE Journal of Power and Energy Systems 2021年第2期7卷 295-306页

作者： Tianhao Wen Yang Liu q.h.wu Luonan qiu School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China

This paper proposes a cascaded sliding-mode observer for systems with high relative degree and studies its applications in output feedback controller *** part I,the working principle and parameter design of the proposed observer are discussed in *** is proved that,within a sufficiently short period of time,the states of the proposed observer will reach the intersection of all the sliding *** sliding surfaces,the observation error of the proposed observer will converge to sufficiently small *** with traditional high-gain observers,the proposed observer has smaller gain *** addition,the peaking-phenomenon occurred in the proposed observer is less ***,the proposed observer has a convergence rate of observation error as fast as that of traditional high-gain *** studies are carried out on a fifth-order system to verify the properties of the proposed observer.

关键词： Sliding-mode observer stability output feedback control

Ultra-short Term Wind Speed Prediction Using Mathematical Morphology Decomposition and Long Short-term Memory

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CSEE Journal of Power and Energy Systems 2020年第4期6卷 890-900页

作者： Mengshi Li Zhiyuan Zhang Tianyao Ji q.h.wu School of Electric Power Engineering South China University of TechnologyGuangzhou 510641China

This paper proposes a new model,which consists of a mathematical morphology(MM)decomposer and two long short term memory(LSTM)networks,to perform ultra-short term wind speed *** MM decomposer is developed in order to improve the forecast accuracy,which separates the wind speed into two parts:a stationary long-term baseline and a nonstationary short-term ***,two LSTM networks are implemented to forecast the baseline and residue,***,this paper makes an integrated forecast that takes into account multiple climate factors,such as temperature and air *** baseline,temperature and air pressure are used as the inputs of baseline network for training and prediction,and the baseline,residue,temperature and air pressure are used as the inputs of residue network for training and *** performance of the proposed model has been validated using data collected from the Australian Meteorological Station,which is compared with least squares-support vector machine(LS-SVM),back-propagation artificial neural network(BPNN),LSTM,MM-LS-SVM,and *** results demonstrate that the proposed model is more suitable to solve non-stationary time-series forecast,and achieves higher accuracy than the other models under various conditions.

关键词： Deep learning long short-term memory network mathematical morphology wind speed forecast

Equivalent hamiltonian Equations Modelling and Energy Function Construction for MMC-hVDC in hybrid AC/DC Power Systems

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CSEE Journal of Power and Energy Systems 2021年第4期7卷 821-831页

作者： Yang Liu Zehui Lin Kaishun Xiahou Yuqing Lin q.h.wu School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China

This paper proposes an equivalent hamiltonian equations model for the modular multilevel converter-based high-voltage direct-current(MMC-hVDC)transmission system,and constructs an energy function for multi-machine power systems with MMC-hVDC transmission *** equivalent hamiltonian equations model is verified to be able to track the power output dynamics of the full model of an MMC-hVDC transmission *** theoretical and numerical studies have been undertaken to validate that the energy function proposed for hybrid AC/DC systems satisfies the conditions of an energy *** work of this paper bridges the gap between the well-developed direct methods of transient stability analysis and power systems with MMC-hVDC transmission lines.

关键词： Energy function equivalent hamiltonian equations model hybrid AC/DC power system MMC-hVDC transient stability

Relaxed Alternating Direction Method of Multipliers for hedging Communication Packet Loss in Integrated Electrical and heating System

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Journal of Modern Power Systems and Clean Energy 2020年第5期8卷 874-883页

作者： Xinyu Liang Zhigang Li Wenjing huang q.h.wu haibo Zhang School of Electric Power Engineering South China University of TechnologyGuangzhou 510641China IEEE State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China

Integrated electrical and heating systems(IEhSs)are promising for increasing the flexibility of power systems by exploiting the heat energy storage of *** the recent development of advanced communication technology,distributed optimization is employed in the coordination of IEhSs to meet the practical requirement of information privacy between different system *** studies on distributed optimization algorithms for IEhSs have seldom addressed packet loss during the process of information *** this paper,a distributed paradigm is proposed for coordinating the operation of an IEhS considering communication packet *** relaxed alternating direction method of multipliers(R-ADMM)is derived by applying Peaceman-Rachford splitting to the Lagrangian dual of the primal *** proposed method is tested using several test systems in a lossy communication and transmission *** results indicate the effectiveness and robustness of the proposed R-ADMM algorithm.

关键词： Alternating direction method of multipliers(ADMM) communication failure distributed optimization integrated energy systems packet loss

Real-time Dispatchable Region of Renewable Generation Constrained by Reactive Power and Voltage Profiles in AC Power Networks

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CSEE Journal of Power and Energy Systems 2020年第3期6卷 528-536页

作者： Yanqi Liu Zhigang Li q.h.wu haibo Zhang School of Electric Power Engineering South China University of TechnologyGuangzhou 510641China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China

A large amount of renewable energy generation(REG)has been integrated into power systems,challenging the operational security of power *** a real-time dispatch,system operators need to estimate the ability of the power network to accommodate REG with a limited reserve *** real-time dispatchable region(RTDR)is defined as the largest range of a power injection that the power network can accommodate in a certain dispatch interval for a given dispatch base ***-of-the-art research on the RTDR adopts a DC power flow model regardless of the voltage profiles and reactive power,which can overlook potentially insecure operational states of the *** address this issue,this paper proposes an AC power flow based RTDR model simultaneously considering the reactive power and voltage profiles *** nonlinear constraints in our model are approximated using a linear power flow model together with a polytope approximation technique for quadratic *** adaptive constraint generation algorithm is used to calculate the *** results using the IEEE 5-bus and 30-bus systems illustrate the advantages of the proposed model.

关键词： Dispatchable region linearization renewable energy generation reactive power