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中国电机工程学会电力与能源系统学报(英文版)
中国电机工程学会
中国电机工程学会电力与能源系统学报(英文版)

中国电机工程学会

季度

2096-0042

jpes@csee.org.cn

010-82812971

北京市海淀区清河小鹰东路15号100192

中国电机工程学会电力与能源系统学报(英文版)/Journal CSEE Journal of Power and Energy SystemsCSCDCSTPCD北大核心SCI
查看更多>>《 CSEE电力与能源系统杂志》(JPES)致力于报道电力与能源系统领域学术研究的新发展。
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    Accurate Distinction of Weak and Strong AC Grids for Emerging Hierarchical-Infeed LCC-UHVDC Systems

    Hao XiaoXianzhong DuanYi Zhang
    772-777页
    查看更多>>摘要:Distinction of weak and strong AC grids for emerg-ing hierarchical-infeed LCC-UHVDC systems is important for planning and operation departments.However,accuracy of earlier distinction methods is limited as they were developed by empirical reasoning without rigorous theoretical analysis.Hence in this letter,hierarchical-infeed interactive effective short-circuit ratio(HIESCR)index is first used for strength evaluation of HIDC systems with complex inter-inverter interactions con-sidered.Boundary HIESCR(BHIESCR)is also introduced in the proposed distinction method of weak and strong AC grids.That is,weak(or strong)AC grids are,respectively,identified when HIESCR is less(or greater)than BHIESCR.Second,it is shown BHIESCR remains almost unchanged as 3.0 versus various system parameters and rated operation variables based on rigorous theoretical analysis.This salient feature makes the proposed method more accurate than earlier methods.Finally,the proposed method is validated by simulations based on the PSCAD/EMTDC program.

    Capacitor Voltage Imbalance Mechanism and Balancing Control of MMC When Riding Through PTG Fault

    Zhen HeMaozeng LuLijun HangPingliang Zeng...
    778-785页
    查看更多>>摘要:Modular multilevel converter(MMC)based fault ride through(FRT)control is a promising solution to deal with the pole-to-ground(PTG)fault in high voltage direct current(HVDC)system.However,when MMC switches to the FRT control,capacitor voltage imbalance between upper and lower arms will occur,resulting in the deterioration of FRT perfor-mance.This letter provides a comprehensive analysis for the imbalance issue from the perspective of fundamental frequency circulating current(FFCC).It is found the imbalance during FRT stage will not expand continuously,but converge to a certain value gradually.The specific imbalance degree is closely associated with the amplitude of FFCC.In order to solve the imbalance issue,an open-loop balancing control is proposed.By introducing a fundamental frequency feedforward item to the inherent circulating current control,the proposed method can not only balance the capacitor voltages,but also minimize the amplitude of FFCC,and consequently the power loss of MMC during FRT process can be reduced.Finally,simulation results of PSCAD/EMTDC verify the validity of theoretical analysis.

    Resilence Control of DC Microgrid Integrated with Multi-nanogrids Considering Connected-islanded States

    Hossien FarajiReza HemmatiPierluigi Siano
    786-796页
    查看更多>>摘要:In this paper,a DC microgrid(DCMG)integrated with a set of nano-grids(NG)is studied.DCMG exchanges prede-termined active and reactive power with the upstream network.DCMG and NGs are coordinately controlled and managed in such a way the exchanged P-Q power with external grid are kept on scheduled level following all events and operating conditions.The proposed control system,in addition to the ability of mutual support between DCMG and NGs,makes NGs support each other in critical situations.On the other hand,in all operating conditions,DCMG not only feeds three-phase loads with time-varying active and reactive power on the grid side but also injects constant active power into the grid.During events,NGs support each other,NGs support DCMG,and DCMG supports NGs.Such control strategies are realized by the proposed control method to increase resilience of the system.For these purposes,all resources and loads in DCMG and NGs are equipped with individual controllers.Then,a central control unit analyzes,monitors,and regularizes performance of individual controllers in DCMG and NGs.Nonlinear simulations show the proposed model can effectively control DCMG and NGs under normal and critical conditions.

    Reinforcement Learning-empowered Graph Convolutional Network Framework for Data Integrity Attack Detection in Cyber-physical Systems

    Edeh VincentMehdi KorkiMehdi SeyedmahmoudianAlex Stojcevski...
    797-806页
    查看更多>>摘要:The massive integration of communication and in-formation technology with the large-scale power grid has en-hanced the efficiency,safety,and economical operation of cyber-physical systems.However,the open and diversified communica-tion environment of the smart grid is exposed to cyber-attacks.Data integrity attacks that can bypass conventional security techniques have been considered critical threats to the operation of the grid.Current detection techniques cannot learn the dynamic and heterogeneous characteristics of the smart grid and are unable to deal with non-euclidean data types.To address the issue,we propose a novel Deep-Q-Network scheme empowered with a graph convolutional network(GCN)framework to detect data integrity attacks in cyber-physical systems.The simulation results show that the proposed framework is scalable and achieves higher detection accuracy,unlike other benchmark techniques.

    Estimating Critical Clearing Time of Grid Faults Using DA of State-reduction Model of Power Systems

    Yang LiuZhongyang ChenHuanjin YaoLin Yi...
    807-820页
    查看更多>>摘要:This paper proposes a critical clearing time(CCT)estimation method by the domain of attraction(DA)of a state-reduction model of power systems using sum of squares(SOS)programming.By exploiting the property of the Jacobian matrix and the structure of the boundary of the DA,it is found the DA of the state-reduction model and that of the full model of a power system are topological isomorphism.There are one-to-one correspondence relationships between the number of equilibrium points,the type of equilibrium points,and solutions of the two system models.Based on these findings,an expanding interior algorithm is proposed with SOS programming to estimate the DA of the state-reduction model.State trajectories of the full model can be transformed to those of the state-reduction model by orthogonal or equiradius projection.In this way,CCT of a grid fault is estimated with the DA of the state-reduction model.The calculational burden of SOS programming in the DA estimation using the state-reduction model is rather small compared with using the full model.Simulation results show the proposed expanding interior algorithm is able to provide a tight estimation of DA of power systems with higher accuracy and lower time costs.

    Multi-period Resilient Model for VSC-based AC-DC HDS Considering Public-safety Power Shutoff to Mitigate Wildfires

    Zekai WangTao DingXiaosheng ZhangChenggang Mu...
    821-833页
    查看更多>>摘要:This paper proposes a voltage source converter(VSC)-based AC-DC hybrid distribution system(HDS)resilient model to mitigate power outages caused by wildfires.Before a wildfire happens,the public-safety power shutoff(PSPS)strategy is applied to actively cut some vulnerable lines which may easily cause wildfires,and reinforce some lines that are connected to critical loads.To mitigate load shedding caused by active line disconnection in the PSPS strategy,network reconfiguration is applied before the wildfire occurrence.During the restoration period,repair crews(RCs)repair faulted lines,and network reconfiguration is also taken into consideration in the recovery strategy to pick up critical loads.Since there exists possible errors in the wildfire prediction,several different scenarios of wildfire occurrence have been taken into consideration,leading to the proposition of a stochastic multi-period resilient model for the VSC-based AC-DC HDS.To accelerate the computational performance,a progressive hedging algorithm has been applied to solve the stochastic model which can be written as a mixed-integer linear program.The proposed model is verified on a 106-bus AC-DC HDS under wildfire conditions,and the result shows the proposed model not only can improve the system resilience but also accelerate computational speed.

    Security Constrained Distributed Transaction Model for Multiple Prosumers

    Haiteng HanSichen ShenZhinong WeiMohammed Olama...
    834-843页
    查看更多>>摘要:Massive access of renewable energy has prompted demand-side distributed resources to participate in regulation and improve flexibility of power systems.With large-scale access of massive,decentralized,and diverse distributed resources,demand-side market members have transformed from tradi-tional"consumers"to"prosumers".To explore the distributed transaction model of prosumers,in this paper,a multi-prosumer distributed transaction model is proposed,and the Conditional Value-at-Risk(CVaR)theory is applied to quantify potential risks caused by the stochastic characteristics inherited from renewable energy.First,a prosumer model under constraints of the distribution network including photovoltaic units,fuel cells,energy storage system,central air conditioning and flexible loads is established,and a multi-prosumer distributed transaction strategy is proposed to achieve power sharing among multi-ple prosumers.Second,a prosumer transaction model based on CVaR is constructed to measure risks inherited from the uncertainty of PV output within the prosumer and ensure safety of system operation in extreme PV output scenarios.Then,the alternating direction multiplier method(ADMM)is utilized to solve the constructed model efficiently.Finally,distributed transaction costs of prosumers are distributed fairly based on the generalized Nash equilibrium to maximize social benefits.Simulation results show the multi-prosumer distributed trans-action mechanism established under the proposed generalized Nash equilibrium method can encourage power sharing among prosumers,increasing their own income and social benefits.Also,the CVaR can assist decision making of prosumers in weighting the risks and benefits,improving system resilience through energy management of prosumers.

    Cyber-physical Resilience Enhancement for Power Transmission Systems with Energy Storage Systems

    Wenhao ZhangDongyang RuiWeihong WangYang Guo...
    844-855页
    查看更多>>摘要:In a power system,when extreme events occur,such as ice storm,large scale blackouts may be unavoidable.Such small probability but high risk events have huge impact on power systems.Most resilience research in power systems only considers faults on the physical side,which would lead to overly idealistic results.This paper proposes a two-stage cyber-physical resilience enhancement method considering energy storage(ES)systems.The first stage calculates optimal planning of ES systems,and the second stage assesses resilience and enhancement of ES systems during the disaster.In the proposed model,cyber faults indirectly damage the system by disabling monitoring and control function of control center.As a result,when detection and response process of physical faults are blocked by cyber failures,serious load shedding occurs.Such a cyber-physical coupling mechanism of fault,response,restoration process is demonstrated in the modified IEEE Reliable Test System-79(RTS-79).Simulation results show compared with the physical-only system,the cyber-physical system has a more accurate but degraded resilient performance.Besides,ES systems setting at proper place effectively enhance resilience of the cyber-physical transmission system with less load Shedding.

    Framework for Preventive Control of Power Systems to Defend Against Extreme Events

    Yuwei XiangTong WangZengping Wang
    856-870页
    查看更多>>摘要:Enhancing power system resilience against extreme events is becoming increasingly critical.This paper discusses a unified framework for preventive control of power systems to enhance system resilience,which includes three parts:resilience assessment,resilience grading,and resilience enhancement.First,the resilience assessment contains facility-level and system-level resilience assessment.The concept of fragility curve is used in the facility-level resilience assessment.Various resilience indices are developed in system-level resilience assessment to roundly depict the impacts of extreme events on power systems and determine the system resilience.On this basis,the resilience is divided into different levels by resilience grading strategy,which can efficiently quantify the severity of the impact of extreme events and provide decision-making for the resilience enhancement strategies.Then,control strategies for enhancing power system resilience are also divided according to different resilience levels.A controlled islanding based preventive control is proposed to enhance system resilience,which aims to strengthen the first defensive line of power systems to deal with extreme events.Finally,taking the typhoon disaster in extreme events as an example,two tests carried out with two typhoons demonstrate the efficiency of the proposed method.

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