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more..Research on Multi-stage Coordinated Planning Methods for Wind-gas-hydrogen in Offshore Oilfield Systems
ZHANG Lei;WANG Su;XUE Tianliang;YE Jing;GAN Xianxin;The growth in energy demand is driving the continuous expansion of offshore oil fields. However,the traditional reliance on gas turbines for power supply faces dual challenges:low energy efficiency and high carbon emissions.To address these issues,a multi-stage planning method based on a wind-gas-hydrogen(WGH)system is proposed to promote the efficient integration of new energy sources with offshore oil fields.First,leveraging the hydrogen-blended combustion characteristics of gas turbines,a WGH system architecture is established that integrates offshore wind power,surplus electricity-based hydrogen production,and natural gas hydrogen blending.Secondly,a multi-stage planning model for the WGH system is established with the objective of minimizing the life-cycle cost under the constraint of offshore operation windows.Then,a budget uncertainty set is introduced to characterize the fluctuations in wind power output and oil field load,and the model is transformed into a solvable mixed-integer linear programming problem through robust optimization.Finally,using a specific offshore oil field in China as a case study,the proposed method is verified to effectively improve the utilization efficiency of new energy and reduce carbon emissions.The results show that this study provides a feasible decision-making basis and technical support for promoting the coordinated development and green integration of marine oil and gas with renewable energy.
Optimized Configuration of Electric Vehicle Charging Stations Considering Diverse Charging Modes and Load Uncertainty
LI Yun;ZHANG Chen;ZENG Linjun;ZENG Zhengjie;WANG Puming;Economic Research Institute of State Grid Ningxia Electric Power Company;To address the challenge of synergistically optimizing charging mode diversity and load uncertainty in electric vehicle charging station configurations,an optimization strategy that accounts for different charging modes and load uncertainties is proposed. First,spatio-temporal behavior models for slow,fast,and ultra-fast charging are constructed to reveal their complementary characteristics:fast charging peaks in the morning,ultra-fast charging concentrates in the afternoon and evening,while slow charging aligns with nighttime idle periods. This approach quantifies the spatio-temporal variation in load patterns across residential,commercial,and office districts.Second,a typical load curve based on historical data fitting is proposed to replace precise prediction methods,and the upper and lower bounds of the load interval are generated by improving the extreme learning machine(ELM).Finally,a second-order cone programming(SOCP)model is constructed,considering EV charger mutual aid rules and power grid security constraints,with the objective of minimizing the annualized total social cost.The Yalmip+Cplex solver is adopted to achieve efficient solution.The Yalmip+Cplex solver achieves efficient computation.Case studies demonstrate that this strategy reduces total societal costs by 22.54% compared to a single fast-charging mode through coordinated multi-type charging station deployment.It achieves an additional 10.29% savings over configurations ignoring load uncertainty. Furthermore,the optimized layout-featuring distributed deployment of ultra-fast chargers at low-load nodes-significantly enhances system economics and stability.
Low Carbon Optimal Scheduling for Fully Electrified Green Semiconductor Factory Based on AC-PSO Algorithm
ZHU Chaoqun;LIU Yi;YU Xiaomao;LI Yuanqi;QIU Yihao;As the penetration rate of new energy in China continues to rise,renewable energy gradually becomes a vital means of enhancing production efficiency and reducing energy consumption. Achieving low-carbon scheduling of energy used in factory production is crucial for enhancing the green manufacturing capabilities of factories.Therefore,this paper examines the energy usage in a typical all-electric green semiconductor factory characterised by multiple types of energy consumption and proposes a low-carbon scheduling method based on the Adaptive Chaotic Particle Swarm Optimization(AC-PSO)algorithm.In establishing a scheduling model that dynamically couples the semiconductor material manufacturing process with various types of energy,this work considers the impact of carbon emission constraints and real-time electricity prices on energy costs during production.By utilizing the AC-PSO for multi-constraint rolling optimization and based on a combination of scheduling rules that dynamically respond to electricity prices across multiple production lines,the paper adjusts the optimal scheduling decisions in a changing workshop production environment.This approach ensures the continuous optimisation of performance indicators throughout the entire workshop production process,achieving green and low-carbon scheduling for all-electric semiconductor factories.
Fault Section Location Method for Active Distribution Network Based on Multi-source Sequence Voltage Amplitude Information
LIANG Weichen;MA Xinsheng;WANG Hong;ZHENG Zhiyan;CHEN Xiaolong;To make full use of feeder terminal unit(FTU)and smart distribution area combine terminal unit(SCU)for accurate and practical fault location,relying on the centralized feeder automation master station,a fault section location method for active distribution network based on the amplitude distribution of positive and negative sequence voltages is proposed.Firstly,the correlation relationship between the positive sequence and negative sequence voltage components on the high and low voltage sides of the transformer in distribution area is analyzed,and the sequence voltage amplitude measured by the combine terminal on the low voltage side is converted to the high voltage side. Based on this,the distribution laws of positive sequence and negative sequence voltage amplitudes on the fault feeder under symmetrical and asymmetric faults are analyzed.By locating the measurement points with the minimum positive sequence voltage amplitude or the maximum negative sequence voltage amplitude,the fault section location method and the fault point location processing method for long lines in sparse measurement scenarios are proposed.Both theoretical analysis and simulation verification show that this method is not only suitable for the access of distributed photovoltaics,but also easy to implement in engineering practice,and can accurately identify fault sections.
Adaptive Dynamic State Estimation Strategy for Distribution Network Containing Photovoltaic-storage-charging Integrated Station
ZHAO Haichu;BO Bo;CHANG Muhan;ZHAO Xin;LIAO Shangzhang;Photovoltaic-storage-charging integrated station(PSCIS)can efficiently utilize clean energy by integrating multiple resources such as photovoltaic,energy storage and electric vehicles,and is an important component of the future low-carbon distribution networks.Aiming at the problem of strong coupling of source-load uncertainty caused by photovoltaic and electric vehicle charging loads within PSCIS,and the degraded state estimation accuracy caused by bidirectional energy flow characteristics between PSCIS and the grid,an adaptive dynamic state estimation strategy for distribution networks containing PSCIS is proposed. Firstly,a measurement data identification method considering the spatiotemporal correlation of PSCIS is proposed to effectively distinguish fluctuation data from bad data. Secondly,an adaptive strong tracking unscented Kalman filtering algorithm is designed by introducing the theory of strong tracking filtering into the unscented Kalman filtering algorithm,and based on the results of the data identification,the process or measurement noise covariance matrices are adaptively modified to effectively improve the state tracking capability of the distribution system connected to the PSCIS;Finally,simulations are conducted on the improved IEEE 33-node system containing PSCIS to verify the effectiveness of the proposed strategy.
Research on Multi-stage Coupled Game Trading in Electricity Market Based on Carbon Performance Deviation Correction
SONG Jinwei;CHEN Xiang;LIU Xiaotian;YANG Wei;YAN Yue;In response to the ambiguous accounting of carbon reduction contributions among diverse stakeholders and the induced carbon performance deviations under deep source-grid-load-storage coupling in high-penetration renewable energy power systems,a multi-stage coupled game-based electricity market trading mechanism embedded with carbon performance deviation correction is proposed.First,we analyze the deviation mechanism of average and marginal carbon emission factors,and establish a carbon contribution accounting model embedded with dynamic weighting coefficients for renewable energy penetration.This model realizes fine-grained decoupled quantification of carbon emission responsibilities for each market entity.Second,a carbon performance framework of "day-ahead baseline agreement—intraday real-time fulfillment—ex-post deviation settlement" is designed,and a dynamic pricing mechanism for carbon performance credits(CPC)is introduced to achieve quantitative correction and value compensation for performance deviations.Third,a multi-stage coupled game model is constructed based on the carbon performance framework: carbon contribution is pre-allocated in the day-ahead stage using the generalized Nash equilibrium,output deviations are corrected in the intraday stage through centralized collaborative optimization,and carbon revenues are distributed in the ex-post stage using the nucleolus solution of cooperative game theory.This multi-stage model is decomposed and solved sequentially by three algorithms: the improved alternating direction method of multipliers(ADMM),the operator splitting quadratic program(OSQP)solver,and sequential linear programming. This solution approach guarantees a game equilibrium that enables the equitable allocation of carbon emission responsibilities across multiple entities. Case study results show that compared with traditional trading methods,the proposed approach effectively reduces carbon emissions through carbon performance deviation correction,while also significantly improving the economic revenue of trading participants. The carbon contribution accounting model achieves differentiated quantification of carbon emissions across multiple entities,while the carbon performance deviation correction and multi-stage coupled game guide each entity in making cross-period market trading decisions,thereby realizing fair allocation of carbon contributions and optimized low-carbon system operation.
[Downloads: 66 ] [Citations: 0 ] [Reads: 15 ] HTML PDF Cite this article
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: 66 ] [Citations: 0 ] [Reads: 56 ] 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: 130 ] [Citations: 0 ] [Reads: 72 ] 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: 80 ] [Citations: 0 ] [Reads: 82 ] HTML PDF Cite this article
Coordinated Optimization Scheduling of Distributed Resources in Active Distribution Networks Based on Improved TD3
WANG Kailin;GUO Yang;TANG Hao;SUN Baicheng;WANG Pengfei;YAN Zihao;In response to the challenges of bidirectional power flow scheduling caused by the uncertainty of sources and loads,as well as the widespread adoption of distributed energy in active distribution networks(ADNs),this paper proposes a multitime-scale collaborative optimization method based on an improved twin delayed deep deterministic policy gradient(TD3). A scheduling framework containing gas turbines,energy storage,renewable energy,and integrated demand response is constructed. Specifically,a hybrid convolutional neural network-long short-term memory(CNN-LSTM)network is utilized to extract the spatiotemporal coupling features of source and load. Meanwhile,a dynamic weighting mechanism is designed to balance the multi-objective demands. Furthermore,error regularized critic(ERC)and L2 regularization are integrated into the critic network to enhance its stability. By formulating the basic plans for the start-stop operations of gas turbines and the charging-discharging of energy storage,and dynamically adjusting strategies based on real-time data,power fluctuations can be suppressed. Simulation results show that compared to traditional strategies,the system operation cost is reduced,the utilization rate of new energy is increased,the power fluctuations of the main distribution network interconnection lines are suppressed,the convergence speed and time-varying adaptability are significantly improved,providing a low-carbon and efficient scheduling solution that balances economy and reliability for ADNs with a high proportion of new energy.
[Downloads: 142 ] [Citations: 0 ] [Reads: 69 ] 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: 338 ] 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: 320 ] 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: 255 ] 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: 165 ] 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: 338 ] 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: 165 ] 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: 255 ] 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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