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more..Emergency Scheduling Method for Distribution Networks Considering Spatiotemporal Evolution of Typhoons in Pre-disaster and During-disaster Stages
TIAN Jiang;XU Huiguang;XU Xiuzhi;ZHANG Siyuan;LIN Hengxian;State Grid Suzhou Power Supply Company;Typhoon disasters severely impact the operation of distribution networks,presenting challenges such as strong randomness in prediction,difficulties in pre-disaster and in-disaster coordinated scheduling,and high computational complexity.This paper proposes an emergency scheduling method for distribution networks that considers the spatiotemporal evolution of typhoons,covering both pre-disaster and in-disaster phases.First,calculate the line failure probability based on typhoon weather forecast information from the previous day,and generate a probabilistic failure scenario set under typhoon conditions.Then,a "pre-disaster and in-disaster coordinated scheduling" model for distribution networks is established.The pre-disaster preventive scheduling model aims to maximize the expected load supply under various failure scenarios,optimizing the pre-deployment of emergency power vehicles and the operation mode of the distribution network.The in-disaster real-time response model aims to maximize load supply under real-time failures during the typhoon,adjusting the predeployment of emergency power vehicles.For model solving,considering the need for rapid intraday solutions,the soft actorcritic(SAC) reinforcement learning algorithm is employed to solve the in-disaster real-time response model. To enhance convergence,the Bayesian optimization algorithm is introduced to optimize the hyperparameters of the SAC algorithm,and a meta-learning mechanism is embedded to quickly address new sudden failures during typhoons. Finally,case study results demonstrate that the proposed method offers significant advantages in load supply and scheduling efficiency,effectively improving the emergency response capability of distribution networks under typhoon disasters.
A Distributed Photovoltaic Identification Method Based on Weather Type Clustering and Feature Parameter Extraction
MENG Zhengji;WANG Zijian;WANG Lei;HU Xuekai;SHI Linjun;State Grid Hebei Electric Power Company Electric Power Research Institute;In recent years,with the continuous development of new energy generation technology,distributed photovoltaics(DPVs) have gradually become popular among residents. However,a large number of "unmonitored" DPVs pose great challenges to the safe and stable operation of the power grid.In order to improve the identification accuracy of DPVs,a method based on weather type clustering and the extraction of net load curve feature parameters is proposed in this paper.Firstly,Kmeans clustering is used to cluster and analyze the net load data of users according to four different weather conditions,and the net load curves for the corresponding weather conditions are obtained. Then,characteristic parameters of the net load curves are extracted,and the random forest algorithm is employed to establish a DPV identification model. Finally,by integrating various characteristic parameters and evaluation indicators to determine whether the user has installed distributed photovoltaics,it can be concluded that the accuracy of the proposed method is higher than that of other identification methods.
Cluster Power Prediction Considering Spatiotemporal Correlation Characteristics of Distributed Photovoltaic Power Plants
BAI Xuefeng;ZHOU Ying;XU Jing;TIAN Chuanbo;DU Congcong;WANG Lianhui;China Electric Power Research Institute;The rapid popularization of distributed photovoltaic(PV) power generation systems has made accurate power prediction particularly critical for stable grid operation and energy dispatch.However,compared with a single PV power plant,the prediction of distributed PV clusters is much more difficult because of the complex spatio-temporal correlations among the various sites,which are difficult to be effectively modeled by traditional methods.In order to improve the accuracy of cluster prediction,this paper proposes a method for distributed PV cluster power forecasting that incorporates representative station selection and Spatio-Temporal Graph Convolutional Networks(STGCN). Firstly,the spatio-temporal correlation among distributed PV stations is considered.After constructing the comprehensive correlation coefficients,the output power of each distributed PV station is taken as a distinct feature affecting the cluster power.Representative stations are selected based on the Maximum Relevance Minimum Redundancy(mRMR)feature selection method.Then the Hiking Optimization Algorithm(HOA)is introduced to portray the contribution of the output power from each representative station to the cluster power,enabling the calculation of optimal weight allocation for each representative power station. Finally,a spatio-temporal graph convolutional network is constructed using the historical data from the representative stations to realize the feature extraction of complex spatio-temporal data among PV stations.After outputting the power prediction data of each representative station,the cluster prediction power is obtained through optimal weight calculations. Example calculations are conducted in two PV clusters in S1 and S2 provinces to prove the effectiveness of the proposed method in cluster prediction.
Optimization Strategy for Multi-fault Restoration in Distribution Network Based on Dual-mode Power Mutual Assistance
LI Pengwang;ZHANG Qiuyu;NIU Marui;This article proposes a layered coordinated emergency repair optimization strategy based on dynamic virtual microgrid partitioning and flexible resource power mutual assistance to address the problem of rapid load recovery after multi period faults in distribution networks under extreme weather conditions.First,a differentiated dynamic microgrid partitioning model of "sourcecritical-normal" is constructed and a dual-mode power mutual assistance mechanism of "fixed interconnection switch + bypass load switch(BLS)" has been designed to improve load recovery flexibility. Second,a collaborative scheduling model is established with the goal of minimizing load loss and total recovery costs—including those associated with maintenance teams,BLS,mobile emergency generation(MEG)and contact switches—to optimize scheduling plans.Finally,the proposed method is validated through simulations on the IEEE 33-node system under multi-temporal and multiple fault scenarios.The results show that the model proposed in the article can adaptively adjust the virtual microgrid topology,fully utilize the flexible load allocation capabilities of BLS,and exploit the fast power support characteristics of MEG.This approach improves fault response speed and recovery efficiency while ensuring power supply reliability.Additionally,the utilization rates of maintenance teams and BLS are significantly higher than those of MEGs,achieving coordinated complementarity and cost-effective use of multiple resources.
Consider the Active Distribution Network Dispatching Optimization Strategy With the Participation of Multiple Stakeholders
CHEN Zelin;XIONG Weipeng;MEI Lingjun;ZHOU Sheng;FU Shixun;State Grid Nanchang Power Supply Company;State Grid Jiujiang Power Supply Company;State Grid Jiangxi Power Supply Company;Active distribution network has been widely recognized as the active distribution network optimization operation control new technology.This paper from the supplier side,power grid side double perspective,build the market more interest participation,source-network-load-storage collaborative active distribution network dispatching framework. Based on stakeholders output model,and add basic parameter uncertainty variables,build an active distribution network target collaborative optimization model,which considers dispatchable resources user revenue,voltage stability,distribution network self-balancing capability.In order to avoid particles falling into local optimum,an improved particle swarm algorithm based on positional variance variation is proposed to verify the effectiveness of the proposed control strategy and optimization algorithm in the context of various working conditions.
Intelligent Switching Strategy of Multi-Inverter Control Mode Based on Operating Short Circuit Ratio
XUE Tianliang;ZOU Yi;ZHANG Lei;YE Jing;The power output of photovoltaic(PV)plants exhibits substantial fluctuations between day and night.Under weak grid conditions,these fluctuations result in severe voltage variations at the point of common coupling(PCC).With fixed control modes,the inverters in PV-storage plants encounter difficulties in striking a balance maximum power point tracking and voltage support.This paper puts forward a real-time multi-inverter control mode switching strategy based on the operating short-circuit ratio(OSCR).When the grid operates under normal conditions,all PV and energy storage inverters all adopt grid-following control to maximize power generation.However,once the PCC voltage approaches its operational limits,the system leverages the OSCR indicator together with a multi-agent twin delayed deep deterministic policy gradient algorithm to optimize inverter control mode combinations in real time. A subset of inverters is automatically switched to grid-forming control to actively provide voltage support. This strategy enhances adaptability and dynamic coordination,effectively alleviating steady-state voltage issues induced by rapid PV fluctuations and load disturbances in weak grids.Simulation results confirm the feasibility and effectiveness of the proposed method.
[Downloads: 77 ] [Citations: 0 ] [Reads: 16 ] HTML PDF Cite this article
Deep Reinforcement Learning Based Optimal Virtual Inertia Control of Energy Storage Systems
FAN Deling;LI Na;WU Zhuorui;GAO Song;ZHANG Meng;Under the objective of achieving carbon peak and neutrality,a substantial amount of renewable energy sources have been integrated into the power system to replace traditional synchronous generators.However,their inherent uncertainty and low characteristics inertia pose challenges,including frequency fluctuations and oscillations in power systems.Benefiting from the recent advancement in power electronic technology,energy storage systems are capable of providing rapid frequency response.Among these,virtual inertia control effectively mitigates frequency deviations and rate of change of frequency. The implementation of virtual inertia control for energy storage systems usually needs to consider control cost and design optimal controller.Nevertheless,most of existing methods rely on linearized models,which fail to adequately address complex nonlinear dynamics.To this end,a Lyapunov-based reinforcement learning scheme is proposed in this paper,formulating virtual inertia control as a Markov decision process and designing the controller to ensure local stability via Lyapunov theory. The deep deterministic policy gradient algorithm optimizes controller parameters. Simulation results indicate that the proposed method significantly enhances frequency control performance.
[Downloads: 66 ] [Citations: 0 ] [Reads: 10 ] HTML PDF Cite this article
Multi-Layer Rolling Dispatch Optimization for Source Load Storage Systems Enabled by Advanced Adiabatic Compressed Air Energy Storage
YAN Yi;YANG Tingting;LI Yanchao;WU Jiheng;CAO Wenpeng;With the growing integration of renewable energy sources,integrated source-load-storage(SLS) systems are confronted with significant challenges challenges such as amplified supply-demand fluctuations and temporal mismatches in load profiles.While Advanced Adiabatic Compressed Air Energy Storage(AA-CAES)offers multi-energy coupling and largescale storage advantages,its coordinated operation within SLS systems its coordinated operation within SLS systems.The multienergy conversion and time-coupling characteristics significantly increase the complexity of charge-discharge decisions and system scheduling,resulting in strongly nonlinear and multi-objective optimization problems.To address these challenges,this paper puts forward a multi-layer rolling optimization scheduling strategy for AA-CAES-based SLS systems. Firstly,a comprehensive SLS model is developed,covering electricity,heat,and cooling flows,and accounting for flexible loads and dynamic characteristics of storage devices. Secondly,a multi-layer rolling scheduling strategy is introduced,achieving SLS decoupling,dynamic balance,and flexible load regulation through hierarchical iterations. Finally,rolling multi-objective optimization is carried out using an improved Cooperative Non-dominated Sorting Genetic Algorithm Ⅱ(C-NSGA-Ⅱ) to generate day-ahead hourly SLS coordination schedules. Simulation results show that under typical summer and winter conditions,AA-CAES outperforms conventional Compressed Air Energy Storage(CAES) in storage peak-shaving and enhancing overall system performance. Moreover,the multi-layer rolling scheduling strategy significantly improves system efficiency,achieving effective source-load-storage coordination.
[Downloads: 50 ] [Citations: 0 ] [Reads: 18 ] HTML PDF Cite this article
A Method for Corrosion Region Identification on the Cross-section of the Main Rebar Inside Cement Poles
GU Yingbin;ZHANG Han;WANG Juan;XU Yingchun;SONG Xudong;Cement poles are widely used as the supports for overhead power lines.However,the corrosion of the main rebars inside the pole will lead to the reduction in effective cross-sectional area,which thereby will affect the load-bearing capacity of the poles.The corrosion occurring on the inner or outer regions of the main rebar cross-section can result in significant discrepancies in stress calculations.Aiming at existing non-destructive testing methods can not distinguish between corrosion on the inner and outer sides of the main rebar,this study proposed a novel method for identifying the corrosion area within the main rebar cross-section of cement poles,based on the magnetization effect and the SSA-RF model. By constructing physical cement pole models and arranging an array of measurement points,magnetic induction intensity data under different main rebar corrosion conditions were collected.Combining with the SSA-RF model,the localization of the rust defect area in the main rebar cross-section was achieved.The research results demonstrate a recognition accuracy of 90.83%,indicating a high feasibility and effectiveness of the method.
[Downloads: 21 ] [Citations: 0 ] [Reads: 21 ] HTML PDF Cite this article
Anomaly Detection Model for Measurement Values in Power Monitoring Systems Based on Gaussian Process Regression
WANG Dan;JI Shiyu;YANG Mingyu;LIU Jinli;To address the risk of measurement value distortion in remote terminal units caused by false data injection attacks(FDIA)in power monitoring systems,this paper proposes a non-invasive anomaly detection model of the IEC 60870-5-104 protocol deployed at the network boundary of power communication systems,aiming to enhance operational security and business continuity assurance capabilities. The core of the proposed model is based on a Gaussian process regression framework,which dynamically constructs historical measurement baselines for each remote terminal unit through an online learning mechanism,and models the long-term frequency distribution characteristics of measurement values to capture their long-term operational patterns.Experimental results from a simulation test platform demonstrate that the model can effectively distinguish between normal measurement data and abnormal patterns induced by FDIA,accurately identifying anomalous measurements.Its dynamic baseline update mechanism adapts to the time-varying characteristics of grid operations,reducing false detection rates.By establishing independent models for each terminal,the system significantly improves its adaptability to diverse grid operating conditions.
[Downloads: 67 ] [Citations: 0 ] [Reads: 19 ] HTML PDF Cite this article
Research Status Review of Robots Applied in Substations for Equipment Inspection
Yang Xudong;Huang Yuzhu;Li Jigang;Li Li;Li Beidou;Inner Mongolia Power(Group)Co.,LTD Baotou Power Supply Bureau;Shandong Luneng Intelligence Technology Co.,LTD;T he substation inspection robot is an intelligent robot with infrared and visible camera to inspect and analyze the condition of the equipment instead of people.There are many countries have been study on the robotics technology,including Japan,China,Canada and Brazil.We introduce the technology research status and the generalization of the robot applied in the substation.
[Downloads: 4,848 ] [Citations: 339 ] [Reads: 291 ] HTML PDF Cite this article
Applying Unmanned Autonomous Helicopter to Transmission Line Inspection
With the rapid extention of the electric distribution network,the workload of the inspection of transmission lines increases dramatically.Unmanned helicopters,a kind of unmanned aerial vehicle(UAV),can be applied to transmission line inspection to improve the efficiency This paper introduces and discusses the some techniques of applying an unmanned helicopter to transmission line inspection.The main inspection tools are visible light camera and infeared camera.The inspection targets include tansmission lines,jumper conductor,isulator,damper,clamper,tower,hardware fittings,etc.The aim of inspection is to find any device damages,hardware fitting missing and thermal defects.This paper also introduces the unmanned helicopter and the carried inspection system and perspect the further applications of unmanned helicopters in power industry.
[Downloads: 1,365 ] [Citations: 172 ] [Reads: 266 ] HTML PDF Cite this article
Research on Fuzzy PID Control Method Combined Fuzzy Theory and Conventional PID Control
Fuzzy control and PID control are often used in industrial control area.However,a single fuzzy control or PID control can not satisfy the need of the rising complexity and precision of control systems.This paper deeply analyzed the advantages and the disadvantages of fuzzy control and PID control,and proposed a new fuzzy PID control combined fuzzy control and PID control.The simulation results show that the proposed method can effectively reduce the overshoot of the control system,accelerate the response speed,and shorten the adjustment time,thus,the method can enhance the dynamic performance of the control systems.
[Downloads: 3,965 ] [Citations: 172 ] [Reads: 194 ] HTML PDF Cite this article
Study on Performance and Application of Lithium Iron Phosphat Battery
Zhang Song,Ding Guangqian,Hu Tiejun,et alThe lithium iron phosphate(LiFePO4) battery has advantages of high voltage,energy density,long service life,safety performance,low self-discharge rate and no memory effect.This paper introduced the structure of LiFePO4 battery,the principle of charging and discharging.It introduced the structure of LiFePO4 battery energy storage system and discussed the principle of energy conversion system.It also studied the applications of LiFePO4 battery which is widely used in stable supply of renewable energy such as wind power,solar power,peak load shifting,electric vehicles,distributed power and uninterruptible power supply.
[Downloads: 4,410 ] [Citations: 98 ] [Reads: 121 ] HTML PDF Cite this article
Study on Power Quality and its Measurement
The basic situation of power quality is briefly reviewed.The necessity to detect and measure the power quality is discussed.The detecting items and basic hardware requirements are listed.Some feasible detecting methods are presented.
Research Status Review of Robots Applied in Substations for Equipment Inspection
Yang Xudong;Huang Yuzhu;Li Jigang;Li Li;Li Beidou;Inner Mongolia Power(Group)Co.,LTD Baotou Power Supply Bureau;Shandong Luneng Intelligence Technology Co.,LTD;T he substation inspection robot is an intelligent robot with infrared and visible camera to inspect and analyze the condition of the equipment instead of people.There are many countries have been study on the robotics technology,including Japan,China,Canada and Brazil.We introduce the technology research status and the generalization of the robot applied in the substation.
[Downloads: 4,848 ] [Citations: 339 ] [Reads: 291 ] HTML PDF Cite this article
Review of Load Flow Calculation Methods in Power Systems
The load flow calculation is one of the most commonly used tools in power system engineering. This paper presents a summary of the load flow calculation. At first, a brief review of the development of load flow calculation is given; and secondly, a variety of algorithms for load flow calculation are mentioned, with their principles introduced and merits & defaults compared. The problems at present and the prospect of future are discussed in the end.
Study on Performance and Application of Lithium Iron Phosphat Battery
Zhang Song,Ding Guangqian,Hu Tiejun,et alThe lithium iron phosphate(LiFePO4) battery has advantages of high voltage,energy density,long service life,safety performance,low self-discharge rate and no memory effect.This paper introduced the structure of LiFePO4 battery,the principle of charging and discharging.It introduced the structure of LiFePO4 battery energy storage system and discussed the principle of energy conversion system.It also studied the applications of LiFePO4 battery which is widely used in stable supply of renewable energy such as wind power,solar power,peak load shifting,electric vehicles,distributed power and uninterruptible power supply.
[Downloads: 4,410 ] [Citations: 98 ] [Reads: 121 ] HTML PDF Cite this article
Research on Fuzzy PID Control Method Combined Fuzzy Theory and Conventional PID Control
Fuzzy control and PID control are often used in industrial control area.However,a single fuzzy control or PID control can not satisfy the need of the rising complexity and precision of control systems.This paper deeply analyzed the advantages and the disadvantages of fuzzy control and PID control,and proposed a new fuzzy PID control combined fuzzy control and PID control.The simulation results show that the proposed method can effectively reduce the overshoot of the control system,accelerate the response speed,and shorten the adjustment time,thus,the method can enhance the dynamic performance of the control systems.
[Downloads: 3,965 ] [Citations: 172 ] [Reads: 194 ] HTML PDF Cite this article
Progress in Synthesis and Application of Perovskite Photovoltaic Materials
CHENG Fang;Photovoltaic power generation has significant energy,environmental and economic benefits,and can significantly reduce carbon emissions.It will become the main source of global energy supply in the future.With the gradual improvement of society's awareness of energy greening and the advancement of chemical synthesis technology,the research and development of high photoelectric conversion efficiency solar cells has become a current research hotspot. Among them,perovskite(ABX3)materials have become one of the most promising materials for new-generation solar cells due to their high photoelectric conversion efficiency,low cost,and strong optical tunability.The principle and development status of perovskite solar cells was introduced. Then,the technical advantages and development prospects of different types of solar cells from the perspective of different chemical compositions were analyzed and compared,including organic-inorganic hybrid perovskite solar cells,inorganic perovskite solar cells,nanoscale inorganic perovskite materials and other types of solar cell materials,which provide a reference for the next step in the development of perovskite high conversion efficiency photovoltaic materials synthesis technology.
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