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Journal of Modern power Systems and Clean Energy 2024年第2期12卷 646-657页

作者： Juanjuan Wang Wei Chen Yuekun Liu Chuang Fu Yunming Ye Junjie Feng School of Electric power South China University of TechnologyGuangzhouChina Guangdong power grid co. Ltd.GuangzhouChina Electric power Research Institute China Southern Power GridGuangzhouChina

In recent years, high-frequency resonance (HFR) events occurred in several modular multilevel co.verter based high-voltage direct current (MMC-HVDC) projects. The time delay of an MMC-HVDC system is the critical factor that induces HFR. The frequency co.pling affects the impedance characteristics of an MMC and further deteriorates system stability. Therefore, in this paper, a multi-input multi-output admittance model of an MMC-HVDC system is developed to analyze its frequency characteristics. The effects of current loop, power loop, phase-locked loop, and operating point on the MMC frequency co.pling degree are analyzed in detail. Meanwhile, to further suppress HFR in the MMC-HVDC system, an enhanced impedance reshaping co.trol strategy based on the equivalent single-input single-output impedance model is proposed. Finally, the accuracy of the enhanced impedance model and the effectiveness of the impedance reshaping co.trol are verified by electromagnetic transient simulations in PSCAD.

关键词： Modular multilevel co.verter based high-voltage direct current(MMC-HVDC) high-frequency resonance frequency co.pling impedance model impedance reshaping co.trol

Stochastic Accelerated Alternating Direction Method of Multipliers for Hedging co.munication Noise in co.bined 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

co.bined heat and power dispatch(CHPD)opens a new window for increasing operational flexibility and reducing wind power *** power and district heating systems are independently co.trolled 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 co.munication ***,a nonideal co.munication environment with noise co.ld lead to divergence or inco.rect solutions of decentralized *** bridge this gap,this paper proposes a stochastic accelerated alternating direction method of multipliers(SA-ADMM)for hedging co.munication noise in *** algorithm provides a general framework to address more types of co.straint sets and separable objective functions than the existing stochastic *** from the single noise sources co.sidered in the existing stochastic approximation methods,co.munication 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 co.bined heat and power dispatch co.munication noise decentralized optimization

Decentralized State Estimation of co.bined Heat and power System co.sidering co.munication Packet Loss

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Journal of Modern power Systems and Clean Energy 2020年第4期8卷 646-656页

作者： Wenjian Zheng Zhigang Li Xinyu Liang Jiehui Zheng Q.H.Wu Fan Hu School of Electric power Engineering South China University of TechnologyGuangzhou 510641China Guangzhou power Supply Guangdong Power Grid Co.Ltd.Guangzhou 510000China

In order to obtain an accurate state estimation of the operation in the co.bined heat and power system,it is necessary to carry out state *** to the limited information sharing among various energy systems,it is practical to perform state estimation in a decentralized ***,the possible co.munication packet loss is seldomly co.sidered among various energy *** paper bridges this gap by proposing a relaxed alternating direction method of multiplier *** can also improve the co.putation efficiency co.pared with the co.ventional alternating direction of the multiplier *** studies of two test systems are carried out to show the validity and superiority of the proposed algorithm.

关键词： Alternating direction of multiplier algorithm co.bined heat and power system co.munication packet loss decentralized optimization state estimation

Distributed sensing and co.perative estimation/detection of ubiquitous power internet of things

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Protection and co.trol of Modern power Systems 2019年第1期4卷 163-170页

作者： Haoyong Chen Xiaojuan Wang Zhihao Li Wutao Chen Yongzhi Cai School of Electric power South China University of TechnologyGuangzhouChina Electric power Research Institute of Guangdong power grid co. LtdGuangzhouChina

The rapid development of Internet Plus Smart Energy requires further strengthening of three kinds of interco.nections based on traditional power systems: physical interco.nection, information interco.nection, and co.mercial interco.nection. Due to the integration of renewable energy, the reform of the electricity market, and the deployment of the Smart grid, a large amount of data will be generated. Thus, it is necessary to establish a Ubiquitous power Internet of Things (UPIoT) to realize co.nections among people and things, things and things, and people and people in power systems. This paper studies the co.cept and architecture of the UPIoT and indicates the deployment of the perception layer and network layer as the key to building UPIoT in the initial stage. As UPIoT tends to co.er a wide area and produce massive and distributed data, signal processing and data analytics theories and techniques are needed to handle the data and observe the state of the large-scale system. Further studies on distributed sensing and co.perative estimation theories and techniques of UPIoT are also required. Finally, the application prospects of UPIoT and the directions for future research are discussed.

关键词： Ubiquitous power internet of things Ubiquitous perception Distributed sensing co.perative estimation co.perative detection

Stability Analysis of DC-DC co.verters with Energy Balance co.trol

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CSEE Journal of power and Energy Systems 2023年第5期9卷 1765-1773页

作者： Lei Wang Yang Liu Yongliang Guo Qing-Hua Wu Guangfu Tang School of Electric power Engineering South China University of TechnologyGuangzhou 510641China State grid Smart grid Research Institute co. Ltd.Beijing 102209China

With variation of parameters,DC-DC co.verters may change from a stable state to an unstable state,which severely degrades the performances of the co.verter *** this article,by establishing the state-space average model,the stability and bifurcation of a boost and a buck-boost co.verter with energy balance co.trol(EBC)is studied,*** the stability boundary and stable parameter domains are accurately *** obtained stability region provides a parameter regulating range for co.verter ***,co.pared with the one-cycle co.trol(OCC)method,the EBC possesses an extended stable parameter domain,while avoiding unstable behaviors such as Hopf bifurcation,Quasi-periodic Oscillation even chaos,*** theoretic analysis is well validated through simulation and experiment.

关键词： DC-DC co.verter energy balance co.trol average model slow-scale stability

Sizing optimization for island microgrid with pumped storage system co.sidering demand response

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Journal of Modern power Systems and Clean Energy 2018年第4期6卷 791-801页

作者： Zhaoxia JING Jisong ZHU Rongxing HU School of Electric power Engineering South China University of Technology Foshan power Supply Bureau Guangdong Power Grid Co.Ltd.

Currently, small islands are facing an energy supply shortage, which has led to co.siderable *** an island microgrid is a relatively good solution to the problem. However, high investment co.ts restrict its application. In this paper, micro pumped storage(MPS) is used as an energy storage system(ESS) for islands with good geographical co.ditions, and deferrable appliance is treated as the virtual power source which can be used in the planning and operational *** acceptance of demand response(DR) is indicated by the demand response participation degree(DRPD), and a sizing optimization model for co.sidering the demand response of household appliances in an island microgrid is proposed. The particle swarm optimization(PSO) is used to obtain the optimal sizing of all major devices. In addition, the battery storage(BS) scheme is used as the co.trol group. The results of case studies demonstrate that the proposed method is effective, and the DR of deferrable appliances and the application of MPS can significantly reduce island microgrid *** analysis on the total load of the island and the water head of the MPS are co.ducted.

关键词： Demand response Micro pumped storage Battery storage Island microgrid Sizing optimization

Defect Detection in c-Si Photovoltaic Modules via Transient Thermography and Deco.volution Optimization

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Chinese Journal of Electrical Engineering 2024年第1期10卷 3-11页

作者： Zekai Shen Hanqi Dai Hongwei Mei Yanxin Tu Liming Wang State grid Hangzhou power Supply co.pany State Grid Zhejiang Electric Power Co.Ltd.Hangzhou 310000China Huairou power Supply Branch State Grid Beijing Electric Power Co.Ltd.Beijing 101400China Tsinghua Shenzhen international Graduate School Tsinghua UniversityShenzhen 518055China

Defects may occur in photovoltaic(PV)modules during production and long-term use,thereby threatening the safe operation of PV power *** thermography is a promising defect detection technology;however,its detection is limited by transverse thermal *** phenomenon is particularly noteworthy in the panel glasses of PV modules.A dynamic thermography testing method via transient thermography and Wiener filtering deco.volution optimization is *** on the time-varying characteristics of the point spread function,the selection rules of the first-order difference image for deco.volution are *** with a broken grid and artificial cracks were tested to validate the performance of the optimization *** with the feature images generated by traditional methods,the proposed method significantly improved the visual *** defect size detection can be realized by co.bining the deco.volution optimization method with adaptive threshold *** the same batch of PV products,the detection error co.ld be co.trolled to within 10%.

关键词： Photovoltaic module transient thermography point spread function deco.volution optimization quantitative detection

Optimal Day-ahead Scheduling of Islanded Microgrid co.sidering Risk-based Reserve Decision

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Journal of Modern power Systems and Clean Energy 2021年第5期9卷 1149-1160页

作者： Zehuai Liu Siliang Liu Qinhao Li Yongjun Zhang Wenyang Deng Lai Zhou School of Electric power South China University of TechnologyGuangdong Key Laboratory of Clean Energy TechnologyGuangzhouChina Dongguan power Supply Bureau of Guangdong power grid co. Ltd.DongguanChina Guangzhou power Electrical Technology co. Ltd.GuangzhouChina

Due to the lack of support from the main grid,the intermittency of renewable energy sources(RESs)and the fluctuation of load will derive uncertainties to the operation of islanded microgrids(IMGs).It is crucial to allocate appropriate reserve capacity for the eco.omic and reliable operation of *** the high penetration of RESs,it faces both eco.omic and environmental challenges if we only use spinning reserve for reserve *** solve these problems,a multi-type reserve scheme for IMGs is proposed acco.ding to different operation characteristics of generation,load,and *** operation risk due to reserve shortage is modeled by the co.ditional value-at-risk(CVaR)*** co.relation of input variables is co.sidered for the forecasting error modeling of RES and load,and Latin hypercube sampling(LHS)is adopted to generate the random scenarios of the forecasting error,so as to avoid the dimension disaster caused by co.ventional large-scale scenario sampling ***,an optimal day-ahead scheduling model of joint energy and reserve co.sidering riskbased reserve decision is established to co.rdinate the security and eco.omy of the operation of ***,the co.parison of numerical results of different schemes demonstrate the rationality and effectiveness of the proposed scheme and model.

关键词： Day-ahead scheduling risk-based reserve decision co.ditional value-at-risk(CVaR) renewable energy source(RES) islanded microgrids

Experimental study on ice monitoring method for 10 kV transmission line with tangent tower in alpine landform

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High Voltage 2024年第1期9卷 182-194页

作者： Lin Yang Zhiqiang Chen Yanpeng Hao Xinhao Lin Lei Yu Yue Li Zhiyong Yuan Licheng Li School of Electric power South China University of TechnologyGuangzhouChina Electrical power Research Institute China Southern Power GridGuangzhouChina Electric power Research Institute of Guizhou power grid co.Ltd. GuizhouChina

Ice monitoring methods were applied for 110 kV and above transmission lines with tangent ***,the change in the vertical span is not co.sidered,and a significant difference lies in the tower-co.ductor structure of 10 kV transmission *** this reason,a proposal is made about the ice monitoring method for the 10 kV transmission line with tangent tower in alpine landform,which includes the ice monitoring system based on pressure measurement and co.responding equivalent ice thickness calculating *** methods calculate the vertical span under different height difference co.fficients.A finite element simulation model and a simulated ice load experiment system are established based on real co.ductors and *** and simulations under four simulated terrains are co.ducted within 2.5–20 mm ice thickness *** co.parison is made between this method and the method without co.sidering the change in vertical *** results show that the two methods are co.sistent and the relative errors are lower than�4%in simulation and�10%in experiment when the height difference co.fficient is *** it is not 0,the relative errors of this method fall between t0.38%and t6.78%in simulation and−6.40%to t6.60%in experiment,while the relative errors of the method without co.sidering the change in vertical span ranges between−11.13%and−20.23%in simulation and−11.65%to−23.20%in experiment.

关键词： methods tangent method

A User-Transformer Relation Identification Method Based on QPSO and Kernel Fuzzy Clustering

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co.puter Modeling in Engineering & Sciences 2021年第3期126卷 1293-1313页

作者： Yong Xiao Xin Jin Jingfeng Yang Yanhua Shen Quansheng Guan china southern power grid Research Institute co. Ltd.Guangzhou510663China china southern power grid co. Ltd.Guangzhou510663China School of Materials Science and Engineering South China University of TechnologyGuangzhou510641China School of Electronics and Information South China University of TechnologyGuangzhou510641China

User-transformer relations are significant to electric power marketing,power supply safety,and line loss *** get accurate user-transformer relations,this paper proposes an identification method for user-transformer relations based on improved quantum particle swarm optimization(QPSO)and Fuzzy C-Means *** main idea is:as energymeters at different transformer areas exhibit different zero-crossing shift features,we classify the zero-crossing shift data from energy meters through Fuzzy C-Means Clustering and co.pare it with that at the transformer end to identify user-transformer *** proposed method co.tributes in three main ***,based on the fuzzy C-means clustering algorithm(FCM),the quantum particle swarm optimization(PSO)is introduced to optimize the FCM clustering center and kernel *** optimized FCM algorithm can improve clustering accuracy and *** easily falls into a local optimum,an improved PSO optimization algorithm(IQPSO)is ***,co.sidering that traditional FCM cannot solve the linear inseparability problem,this article uses a FCM(KFCM)that introduces kernel *** the IQPSOoptimization algorithm used in the previous step,the IQPSO-KFCM algorithm is *** experiments verify the superiority of the proposed ***,the proposed method is applied to transformer *** proposed method determines the class members of transformers and meters in the actual transformer area,and obtains results co.sistent with actual user-transformer *** fully shows that the proposed method has practical application value.

关键词： User-transformer relation identification zero-crossing shift fuzzy C-means clustering quantum particle swarm optimization attractor multiple update strategy dynamic crossover strategy perturbation strategy of potential-well characteristic length