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Graph Computing Based Distributed Parallel Power Flow for AC/DC Systems with Improved Initial Estimate

Journal of Modern Power Systems and Clean energy 2021年第2期9卷 253-263页

作者： Wei Feng Chen Yuan Qingxin Shi Renchang Dai Guangyi Liu Zhiwei Wang Fangxing Li the University of Tennessee 1525 Coleman Road KnoxvilleTennessee 37909USA global energy interconnection research institute north america San JoseCalifornia 95134USA

The sequential method is easy to integrate with existing large-scale alternating current(AC)power flow solvers and is therefore a common approach for solving the power flow of AC/direct current(DC)hybrid *** this paper,a highperformance graph computing based distributed parallel implementation of the sequential method with an improved initial estimate approach for hybrid AC/DC systems is *** proposed approach is capable of speeding up the entire computation process without compromising the accuracy of ***,the AC/DC network is intuitively represented by a graph and stored in a graph database(GDB)to expedite data *** the interconnection of AC grids via high-voltage direct current(HVDC)links,the network is subsequently partitioned into independent areas which are naturally fit for distributed power flow *** each area,the fast-decoupled power flow(FDPF)is employed with node-based parallel computing(NPC)and hierarchical parallel computing(HPC)to quickly identify system ***,to reduce the alternate iterations in the sequential method,a new decoupled approach is utilized to achieve a good initial estimate for the Newton-Raphson *** the improved initial estimate,the sequential method can converge in fewer ***,the proposed approach allows for significant reduction in computing time and is able to meet the requirement of the real-time analysis platform for power *** performance is verified on standard IEEE 300-bus system,extended large-scale systems,and a practical 11119-bus system in China.

关键词： AC/DC system distributed parallel computing graph computing initial estimate power flow analysis

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Unsupervised Learning for Non-intrusive Load Monitoring in Smart Grid Based on Spiking Deep Neural Network

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Journal of Modern Power Systems and Clean energy 2022年第3期10卷 606-616页

作者： Zejian Zhou Yingmeng Xiang Hao Xu Yishen Wang Di Shi Department of Electrical and Biomedical Engineering University of NevadaRenoNVUSA global energy interconnection research institute north america(GEIRINA) San JoseCAUSA

This paper investigates the intelligent load monitoring problem with applications to practical energy management scenarios in smart *** one of the critical components for paving the way to smart grids’success,an intelligent and feasible non-intrusive load monitoring(NILM)algorithm is urgently ***,most recent researches on NILM have not dealt with practical problems when applied to power grid,i.e.,①limited communication for slow-change systems;②requirement of low-cost hardware at the users’side;and③inconvenience to adapt to new ***,a novel NILM algorithm based on biology-inspired spiking neural network(SNN)has been developed to overcome the existing *** provide intelligence in NILM,the developed SNN features an unsupervised learning rule,i.e.,spike-time dependent plasticity(STDP),which only requires the user to label one instance for each appliance while adapting to a new *** upgrade the feasibility in NILM,the designed spiking neurons mimic the mechanism of human brain neurons that can be constructed by a resistor-capacitor(RC)*** addition,a distributed computing system has been designed that divides the SNN into two parts,i.e.,smart outlets and local *** the information flows as sparse binary vectors among spiking neurons in the developed SNN-based NILM,the high-frequency data can be easily compressed as the spike times,and are sent to the local server with limited communication capability,whereas it is unable to handle the traditional ***,a series of experiments are conducted using a benchmark public ***,the effectiveness of developed SNN-based NILM can be demonstrated through comparisons with other emerging NILM algorithms such as the convolutional neural networks.

关键词： Non-intrusive load monitoring(NILM) spiking neural network(SNN) smart grid unsupervised machine learning

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Deep Learning in Power Systems research:A Review

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CSEE Journal of Power and energy Systems 2021年第2期7卷 209-220页

作者： Mahdi Khodayar Guangyi Liu Jianhui Wang Mohammad E.Khodayar global energy interconnection research institute north america(GEIRI north america) San JoseCAUSA Department of Computer Science at the University of Tulsa TulsaOKUSA Khodayar are with the Department of Electrical and Computer Engineering of Southern Methodist

With the rapid growth of power systems measurements in terms of size and complexity,discovering statistical patterns for a large variety of real-world applications such as renewable energy prediction,demand response,energy disaggregation,and state estimation is considered a crucial *** recent years,deep learning has emerged as a novel class of machine learning algorithms that represents power systems data via a large hypothesis space that leads to the state-of-the-art performance compared to most recent data-driven *** study explores the theoretical advantages of deep representation learning in power systems *** review deep learning methodologies presented and applied in a wide range of supervised,unsupervised,and semi-supervised applications as well as reinforcement learning *** discuss various settings of problems solved by discriminative deep models including stacked autoencoders and convolutional neural networks as well as generative deep architectures such as deep belief networks and variational *** theoretical and experimental analysis of deep neural networks in this study motivates longterm research on optimizing this cutting-edge class of models to achieve significant improvements in the future power systems research.

关键词： Autoencoder convolution neural network deep learning discriminative model deep belief network generative architecture variational inference

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Optimized Protection Strategies for HVDC Grid with Fault-blocking Modular Multilevel Converters for Overhead Line Applications

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Journal of Modern Power Systems and Clean energy 2020年第6期8卷 1168-1177页

作者： Sheng Yan Zhiyuan He Jie Yang Ming Kong Minqiang Hu Southeast University NanjingChina global energy interconnection research institute BeijingChina

The high-voltage direct current(HVDC)grid has been recognized as an effective solution for renewable energy ***,two main development trends for HVDC grids are being studied:a DC breaker based HVDC grid and fault-blocking converter based HVDC *** the former has a perfect performance for fault clearance,its development is still highly constrained by the cost and maturity of DC *** latter can extinguish DC faults by the fault-blocking *** using DC breakers,there is no bottleneck in its technical ***,in fault scenarios,such types of HVDC grids will be blocked at length for air-deionization,which is its main *** aim of this paper is to minimize its power interruption time,by optimizing protection coordination *** cover the most complex cases,the overhead line applications,in which the reclosure actions are required to be implemented,are *** this paper,the protection requirements of HVDC grids are first discussed,then the benefits of fault-blocking modular multilevel converters(MMCs)and their fault features are *** on this,a control function is designed to reduce the air-deionization *** minimize the influence of the DC faults,a separation methodology for restarting the system is *** effectiveness of the proposed protection coordination schemes is validated by PSCAD/EMTDC simulations.

关键词： Modular multilevel converter(MMC) high-voltage direct current(HVDC) overhead line fault-blocking converter protection coordination

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Guest Editorial: Applications of Artificial Intelligence in Modern Power Systems:Challenges and Solutions

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Journal of Modern Power Systems and Clean energy 2020年第6期8卷 1027-1028页

作者： Weihao Hu Di Shi Theo Borst University of Electronic Science and Technology China global energy interconnection research institute north america USA DNV GL-Digital Solutions Netherlands

WITH the increasing integration of renewable energies,power electronic devices and flexible loads,modern power systems are becoming more sophisticated and facing higher *** model-based methods cannot fully satisfy the... 详细信息

关键词： satisfy power becoming

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HVDC grid test models for different application scenarios and load flow studies

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Journal of Modern Power Systems and Clean energy 2017年第2期5卷 262-274页

作者： Ting AN Congda HAN Yanan WU Guangfu TANG global energy interconnection research institute Changping DistrictBeijing 102211China

High Voltage Direct Current(HVDC) grids are the most effective solutions for collection, integration and transmission of large scale remote renewable resources to load centers. A HVDC grid test model can provide a common reference and study platform for researchers to compare the performance and characteristics of a DC grid with different DC control functions and protection strategies. It can also provide reference cases for testing of simulators and digital programs. This paper proposes a comprehensive HVDC grid test model and the associated four sub test models for system studies to meet the research purposes and requirements for different DC grid application scenarios. The design concept, topologies, configurations and functions of the test models are described in detail and their basic system data for load flow studies are provided. Finally load flow simulation studies with PSS/E(Power System Simulator/Engineering) program for each of the models are undertaken and the corresponding results are presented and analyzed in the paper.

关键词： High voltage direct current(HVDC) Line commutated converter-HVDC(LCC-HVDC) Voltage source converter-HVDC(VSC-HVDC) DC grids Test models

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Bounded Rationality Based Multi-VPP Trading in Local energy Markets:A Dynamic Game Approach with Different Trading Targets

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CSEE Journal of Power and energy Systems 2023年第1期9卷 221-234页

作者： Hongjun Gao Fan Zhang Yingmeng Xiang Shengyong Ye Xuna Liu Junyong Liu College of Electrical Engineering Sichuan UniversityChengdu 610065China global energy interconnection research institute north america San JoseCA 95134USA State Grid Sichuan Economic research institute Chengdu 610041SichuanChina

It is expected that multiple virtual power plants(multi-VPPs)will join and participate in the future local energy market(LEM).The trading behaviors of these VPPs needs to be carefully studied in order to maximize the benefits brought to the local energy market operator(LEMO)and each *** propose a bounded rationality-based trading model of multiVPPs in the local energy market by using a dynamic game approach with different trading *** types of power bidding models for VPPs are first set up with different trading *** the dynamic game process,VPPs can also improve the degree of rationality and then find the most suitable target for different requirements by evolutionary learning after considering the opponents’bidding strategies and its own clustered *** would decide the electricity buying/selling price in the ***,the proposed dynamic game model is solved by a hybrid method consisting of an improved particle swarm optimization(IPSO)algorithm and conventional largescale ***,case studies are conducted to show the performance of the proposed model and solution approach,which may provide some insights for VPPs to participate in the LEM in real-world complex scenarios.

关键词： Bounded rationality different trading targets dynamic game local energy market virtual power plant

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Fast Cycle Structure Detection for Power Grids Based on Graph Computing

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CSEE Journal of Power and energy Systems 2023年第6期9卷 2204-2213页

作者： Xinqiao Wang Kewen Liu Weijiang Lu Ting Zhao Baohua Zhao Xiaoming Liu the Computing&Application Technology research Division Global Energy Interconnection Research InstituteBeijing 102209China

The cycle structure in a power grid may lower the stability of the network;thus,it is of great significance to accu-rately and timely detect cycles in power grid ***,detecting possible cycles in a large-scale network can be highly time consuming and computationally *** addition,since the power grid's topology changes over time,cycles can appear and disappear,and it can be difficult to monitor them in real *** traditional computing systems,cycle detection requires considerable computational resources,making real-time cycle detection in large-scale power grids an impossible *** computing has shown excellent performance in many areas and has solved many practical graph-related problems,such as power flow calculation and state *** this article,a cycle detection method,the Paton method,is implemented and optimized on a graph computing *** cases are used to test its performance in an actual power grid topology *** results show that the graph computing-based Paton method reduces the time consumption by at least 60%compared to that of other methods.

关键词： Cycle detection graph computing power grid distribution grid

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Impedance Analysis Considering Unstable Subsystem Poles for MMC-HVDC-based Wind Farm Integration System

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CSEE Journal of Power and energy Systems 2022年第2期8卷 634-639页

作者： Ke Ji Hui Pang Shan Liu Guangfu Tang China Electric Power research institute Beijing100192China global energy interconnection research institute Beijing 102211China

Employing the AC/DC impedance analysis method,extensive research has been conducted on issues pertaining to harmonic resonance observed in wind farm-connected MMCHVDC systems over the past 5 *** general,this method divides the studied system into two subsystems at AC and DC ***,the impedance produced by these subsystems can be used to determine the system stability by implementing Nyquist criterion or generalized Nyquist stability ***,the existing impedance analysis methods usually assume the subsystems to be stable and disregard certain special cases with potentially unstable subsystems,where the unstable poles of these subsystems must be evaluated before applying Nyquist *** view of this consideration,a simplified method for identifying unstable subsystem poles is presented in this ***,the shortcoming of existing impedance analyses is rectified by considering the unstable subsystem *** proposed method and the stability analyses are validated by the electromagnetic transient simulation performed in PSCAD/EMTDC.

关键词： AC/DC side impedance method harmonic resonance MMC-HVDC small-signal stability wind farm

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Investigation on effect of semiconducting screen on space charge behaviour of polypropylene-based polymers for HVDC cables

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High Voltage 2022年第5期7卷 968-981页

作者： Mingyu Zhou Haitian Wang Xintong Ren George Chen Yi Luo Fan Yu global energy interconnection research institute Europe GmbH BerlinGermany The Tony Davies High Voltage Laboratory University of SouthamptonSouthamptonHampshireUK global energy interconnection research institute Co. Ltd.BeijingChina

High voltage direct current(HVDC)power transmission cable is critical for realising sustainability through renewable energy ***-friendly thermoplastic polypropylene(PP)-based polymers/nanocomposites are regarded as promising candidates for replacing current thermoset crosslinked polyethylene(XLPE)*** an essential component of the extruded HVDC cable for improving conductor/insulation interface and suppressing charge injection to insulation at high DC electrical stresses,developing semiconducting(SC)screens that are compatible with PP-based insulation is of similar importance but has not been well studied *** work aims at designing PP-based semiconducting screens and investigating space charge behaviours of SC/PP/SC sandwich specimen to unfold the effect of semiconducting materials,bonding methods,applied DC electric field,and temperature on charge injection,accumulation,transportation,and dissipation in PP-based *** conventional thermal,mechanical,and low field electrical characterisations demonstrated that all of the developed semiconducting materials meet the performance criteria of commercial semiconducting materials,their space charge and local electric field distribution varied significantly at high DC *** with the traditional non-bonded configuration used at lab-scale,charge injection was enhanced in hot-pressed SC/PP/SC samples with tightly bonded interfaces,which better reflects the real situation in extruded *** temperature further intensified charge ***,our results also revealed that high temperature and electric field strongly influence charge mobilities and consequently their distribution and local electric field in PP-based insulations.

关键词： charge insulation effect

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