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more..Research on the Partitioning of Renewable Energy Power Systems Considering Multiple Disturbance and Distribution Characteristics of Frequency Response
WEI Yongkai;PAN Xueping;GUO Jinpeng;SUN Xiaorong;XU Tao;ZHOU Peng;The frequency dynamic response of renewable energy power systems exhibits significant spatio-temporal distribution characteristics,making existing partitioning methods inadequate for accurately capturing the spatio-temporal similarity of nodal frequency responses.To address this issue,this paper proposes a partitioning method based on data-driven approaches and the morphological similarity of inter-node frequency dynamic responses under multiple disturbance scenarios.First,the dynamic time warping(DTW)distance is introduced to measure the similarity between node frequency curves under multiple disturbances,and a frequency dynamic response similarity index(DFDI) is constructed. On this basis,the K-means ++clustering algorithm is employed to achieve system partitioning.Then,an evaluation framework for partitioning effectiveness is established to quantify partition accuracy by measuring both intra-region frequency response similarity and the inter-region separation. Finally,simulations conducted on a modified IEEE 39-bus system demonstrate that the proposed method can effectively identify regions with similar frequency responses under different distributions of frequency regulation resources and scenarios involving renewable energy participation in frequency regulation.The partitioning performance is significantly superior to that of traditional methods.This work lays a foundation for regional inertia assessment,frequency response modeling,and inertia configuration in renewable energy power systems.
Small-signal Stability Assessment Method Based on Online Prediction of the Critical Short-circuit Ratio for Grid-forming Converters
CHENG Yan;WANG Nan;SUN Shumin;WANG Shibo;YI Yu;GUAN Yifei;With the integration of grid-forming renewable energy into AC grids,low-frequency oscillations are likely to occur,highlighting the need for online monitoring of the small-signal stability margin of grid-connected systems.To address this,the paper proposes a critical short-circuit ratio prediction model and a small-signal stability margin assessment method for grid-forming renewable energy systems,based on support vector regression.First,a state-space model of the grid-forming renewable energy integration system is established,and based on the corresponding characteristic equation,the influence of control parameters on the critical short-circuit ratio is analyzed.Then,a dataset is generated from the established model,and an online prediction model for the critical short-circuit ratio is developed using particle swarm optimization combined with support vector regression.Finally,the small-signal stability margin of the grid-forming integrated system is assessed based on the difference between the critical short-circuit ratio and the actual short-circuit ratio.Simulation results show that the critical short-circuit ratio predicted by the support vector regression model based on radial basis functions achieves the highest accuracy.The proposed prediction model provides a new approach for online small-signal stability assessment of grid-forming renewable energy systems.
Photovoltaic Annual Power Sequence Modeling Method Considering Daily Cycle Ramping Characteristics
GU Jiabin;GU Zhong;WEN Xingwen;CHEN Pan;GAO Yuhan;SUN Jiacheng;State Grid Shanghai Municipal Electric Power Company;In recent years,photovoltaic ramping events have made a great impact on system flexibility,frequently causing light abandonment and load shedding phenomena.It is of great significance to establish a photovoltaic annual power sequence model that can better reproduce the ramping characteristics of historical data for system flexibility planning considering the impact of high-penetration photovoltaic integration.To improve the characterization capability of ramping characteristics in photovoltaic annual power sequence modeling,firstly,the feature points of the daily output curves of photovoltaics are extracted by the swinging door algorithm and the daily ramping characteristic indices are established.Based on the index differences,the daily output curves of photovoltaics are clustered to classify ramping day types.Then,the Markov chain Monte Carlo method is used to generate the daily type sequence of the whole year.The Copula function is used to construct the positions of down-ramping feature points under different day types,and the daily power sequence is generated day by day according to the position of the feature points combined with cubic Hermite interpolation.The case study results show that the proposed method can achieve high-precision restoration of photovoltaic historical data in output distribution,temporal characteristics and ramping characteristics,which verifies the effectiveness of the proposed method.
Power System Day-ahead Optimization Dispatch Method Considering Multi-dimensional Flexibility Requirements
YU Fei;BAI Maojin;CAO Yongji;ZHENG Yarui;NIU Yuanfang;ZHAO Lanming;Shandong Electric Power Engineering Consulting Institute;The integration of a high proportion of renewable energy sources into power grids significantly increases the peakto-valley difference in the net load curve and exacerbates fluctuations in voltage and system frequency.The traditional dispatch methods,which primarily focus on peak load management,are inadequate for addressing the multidimensional flexibility requirements of modern power systems.To tackle this challenge,a day-ahead optimal scheduling method that incorporates the multidimensional flexibility requirements is proposed. First,a joint probability distribution model using Vine Copula is developed to capture the spatiotemporal correlations among wind,solar generation,and load demand.This model is used to generate representative scenarios through Latin hypercube sampling and k-medoids clustering.Then,a quantitative framework is built to assess the power system multidimensional flexibility requirements,including peaking shaving,frequency regulation,and voltage regulation.In addition,a day-ahead optimal scheduling model that minimizes operational costs while adhering to these multidimensional flexibility constraints is formulated to optimize the operation power of generation units.Finally,case study results demonstrate the effectiveness of the proposed method in enhancing the power system flexibility for peak shaving,frequency regulation,and voltage regulation.
Multi-time Scale Optimal Scheduling Strategy for Low-voltage Area Based on Virtual Battery Model
LEI Jie;HU Anping;WANG Deshun;FENG Xinzhen;In recent years,China has actively promoted the high-quality development of distributed energy. However,the uncertainty of distributed energy output has led to insufficient flexibility of the power system,causing the power grid to face dual challenges:inadequate peak regulation and energy consumption capacity. To address these issues,a day-ahead and intraday multi-time scale optimal dispatching strategy based on a virtual battery model is proposed.Firstly,a virtual battery model is established to quantify and integrate distributed flexible resource clusters. Then,the Minkowski sum is used to calculate the feasible region of flexible resources,which serves as a constraint linking the day-ahead and intraday dispatching models.To improve the reliability of the intraday optimization results,a distributed consistency algorithm based on gradient descent is adopted for solving the problem.Finally,a case study of an actual transformer area is conducted.By comparing it with the traditional model,the superiority of the proposed model is verified.Simulation results show that the virtual battery model can enhance the operational flexibility of the transformer area,improve economic benefits,and increase the photovoltaic utilization rate.
Charge-Discharge Capability Prediction of Lithium-Ion Battery Energy Storage Systems in Standalone Frequency Regulation Scenarios
WANG Shibai;WANG Nan;PEI Jian;CHENG Yan;ZHANG Yu;In power-type applications such as frequency regulation,the output of a lithium-ion battery energy storage system(BESS)is constrained by several safety factors,including terminal voltage and state of charge(SOC).Therefore,an accurate assessment of the BESS's charging and discharging capabilities is essential for its safe and efficient participation in frequency regulation ancillary service markets.First,a BESS model suitable for multi – time-scale frequency-regulation simulations is established. The interquartile range method and the K-medoids clustering algorithm are employed to extract representative values from model identification results,which are subsequently used as safety constraint parameters in the capability prediction stage.Next,to address the impact of inter-cluster inconsistency,a charging and discharging capability prediction model is proposed under three safety constraints—SOC,terminal voltage,and current—to achieve accurate estimation of the BESS's power capability.Finally,simulations conducted on a practical energy storage station verify that the proposed method can accurately predict power boundaries under frequency regulation scenarios,effectively reducing the risk of non-compliance for standalone BESSs and enhancing the operational safety of energy storage systems.
[Downloads: 20 ] [Citations: 0 ] [Reads: 13 ] HTML PDF Cite this article
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: 94 ] [Citations: 0 ] [Reads: 34 ] 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: 90 ] [Citations: 0 ] [Reads: 35 ] 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: 65 ] [Citations: 0 ] [Reads: 43 ] 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: 83 ] [Citations: 0 ] [Reads: 32 ] 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: 304 ] 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: 287 ] 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: 212 ] 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: 135 ] 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: 304 ] 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: 135 ] 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: 212 ] 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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