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more..Community Integrated Energy System Revenue Distribution and Collaborative Optimization Based on Improved Shapley Value Method
DONG Mengyang;TENG Xinliang;XU Jianjun;PENG Cheng;ZHAO Shuqi;To address the issues of uneven benefit distribution and low computational efficiency arising from multi-party collaboration in community integrated energy systems,this paper proposes an energy system collaborative optimization and efficient distribution method based on a weighted hierarchical Shapley value approach.First,a cooperative operation framework for community integrated energy systems is established,analyzing the game relationship among microgrid operators,producers,and consumers.Secondly,addressing the high computational complexity and insufficient incentive distribution associated with the traditional Shapley value method in large-scale systems,a hierarchical Shapley value distribution mechanism combined with the weighted surplus of photovoltaic power generation is designed.This mechanism effectively incentivizes green energy contributors while ensuring the basic income of all participants. The proposed model combines master-slave games with cooperative games to optimize the efficiency of energy mutual assistance and shared energy storage within the community.Finally,case simulations validate the superiority of this method in improving distribution efficiency,fairness,and economic incentives,demonstrating its strong potential for application in scenarios involving the continuous expansion of multiple producers and consumers sharing energy storage collaboratively.
Economic Operation Strategy of Agricultural and Animal Husbandry Parks Considering Flexible Load Resources Participating in Regulation
ZHANG Hailong;WANG Jianwei;NIU Tao;WU Luofei;BAI Baohua;In the context of global low-carbon economic transformation,agriculture and animal husbandry,as important sources of greenhouse gas emissions,are facing challenges in their traditional energy utilization model,including low efficiency and high operating costs,which seriously limits the sustainable development of agricultural and animal husbandry parks.Therefore,the paper proposes an optimized scheduling strategy for the integrated energy system(IES)of agricultural and animal husbandry parks considering flexible load resources participating in regulation.Firstly,based on the energy structure characteristics of agricultural and animal husbandry parks,an IES model is established that includes biomass power generation and organic waste recycling;Secondly,a carbon quota trading mechanism is introduced to construct a carbon-energy joint cost model that quantifies the economic cost of system carbon emissions;Finally,considering both system operating costs and carbon trading costs,an IES optimization scheduling strategy for agricultural and animal husbandry parks is proposed with the goal of minimizing the total cost. Through simulation analysis of an IES of agricultural and animal husbandry park,the optimization strategy proposed in this article can effectively improve the energy utilization efficiency of the IES,reduce the total operating cost of the park by 1.07%,and reduce the peak-valley difference of heat net load by 41.51%,effectively improving the comprehensive economic and environmental benefits.
Multi-agent Game Method for Park Integrated Energy System Considering Differentiated Characteristics of Users
LOU Wei;ZHANG Zhengkai;ZHAO Xueli;SUN Licheng;LIU Wei;In the context of increasing differentiation among park users,a multi-agent game-based collaborative optimization method for the park integrated energy system(PIES)is proposed to promote the coordinated interaction of electricity,heat,and carbon.First,considering the diverse characteristics of users,such as electricity consumption patterns and the availability of flexible resources,models for three distinct types of users within PIES were established.A tiered reward-penalty carbon trading mechanism was introduced to incorporate PIES into the carbon market,thereby incentivizing carbon reduction.Additionally,a PIES administrator(PIA) model,equipped with multiple energy devices,was developed to manage the electricity-heat-carbon trading market.Second,based on Stackelberg game theory,an interactive mechanism was constructed with the PIA as the leader and differentiated users as followers,forming a multi-agent leader-follower game decision model that integrates demand response and multi-energy complementarity. Finally,a distributed optimization algorithm with interaction mechanisms was employed to achieve Stackelberg game equilibrium. Simulation results demonstrate that the proposed method effectively achieves a win-win outcome for multiple PIES stakeholders.
Resonant Grounding System High Impedance Fault Location Method Based on Virtual Capacitance Dynamic Polarity Criterion and FIR Filter
ZHANG Ming;LU Min;ZHANG Xin;ZHAO Chenxin;State Grid Nanjing Power Supply Company;To address the challenge of locating high-impedance fault in resonant grounding systems,which are susceptible to unbalanced components and measurement noise interference,a fault location method based on virtual capacitance dynamic polarity criteria and Finite Impulse Response(FIR)filters is proposed.Through a theoretical analysis of high-impedance fault transient mechanisms,the method reveals a transient process dominated by zero-sequence network parallel resonance. It establishes dual polarity-amplitude criteria for virtual capacitance at upstream/downstream fault points,utilizing their sign differences for preliminary fault section screening.By combining differential filters with sliding accumulation filters,the method extracts fault components of zero-sequence voltage and current,respectively,suppressing power-frequency imbalance and high-frequency noise. The dynamic polarity criterion enhances signal robustness through feature fusion. A recursive location algorithm with an adaptive threshold elimination mechanism is further designed to achieve precise positioning under complex operating conditions. Simulation results demonstrate that the proposed method achieves accurate location across various transition resistances,fault inception angles,and strong noise environments,while maintaining complete robustness against unbalanced components.
Contingency Optimization Method for Distribution Network Voltage Considering Photovoltaic-storage-charging and Discharging Stations
ZHAO Xin;LIU Hanmin;BO Bo;YANG Po;XIA Hua;In the context of the new power system,the scale access of integrated electric vehicle(EV)-photovoltaic(PV)-storage-charging and discharging power stations makes the risk of distribution network voltage instability significantly aggravated,especially in the emergency scenario of losing main grid power supply,the strong uncertainty of PV output and charging and discharging station load power further threatens the system security.For this reason,a contingency optimization method for distribution network voltage considering the uncertainty of photovoltaic-storage-charging and discharging station is proposed for the islanded operation scenario of losing main grid power supply.First,the probability model of PV output and load power of the integrated photovoltaic-storage-charging and discharging station is constructed respectively.Second,a global sensitivity method based on covariance analysis quantitatively evaluates the impact of independent and correlated effects of uncertainty variables on static voltage stability,and an adaptive sparse polynomial chaos expansion model is used to reduce the computational complexity.Then,a multi-constraint contingency optimization model is established with the static voltage stability L-index as the objective,integrating coordinated control of energy storage and reactive power compensation devices,and the efficient allocation of adjustable equipment capacity is achieved by screening key variables.Finally,the feasibility and superiority of the proposed distribution network voltage optimization method in emergency scenarios are verified based on the improved IEEE 33-node distribution network example simulation.
Interpretability Analysis and Performance Enhancement Methods for Graph Convolutional Neural Networks in Electricity Carbon Factor Prediction
CHEN Yue;GUO Longdi;LI Dixing;CHEN Ziyuan;ZHANG Chuang;Existing methods mainly rely on power flow theory to calculate the electricity carbon factor but cannot effectively predict future electricity carbon factors at load nodes.Although deep learning performs well in addressing electricity carbon factor prediction problems,the influence of power grid topology on prediction results is rarely considered.To address this,an electricity carbon factor prediction model based on graph convolutional networks(GCN)is proposed,incorporating the power grid topology. Additionally,the SHapley additive explanations(SHAP) method is introduced to analyze the model's interpretability,enabling the identification and removal of redundant input features to optimize inference efficiency.Tests on the IEEE 118-bus system show that,compared with traditional neural networks and convolutional neural networks,the proposed model reduces the average prediction error rate by approximately 64% and 76%,respectively. While largely maintaining prediction accuracy,screening redundant features using the SHAP method improves the model's operational efficiency by about 30%,saving a significant amount of computing resources.
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Research of NTP Time Jump Suppression Mechanism in Power System Under Extreme Conditions
LU Caiyun;LI Xiaolong;LI Qiwei;ZHOU Jingchun;WANG Xiehua;ZHANG Gaofeng;With the rapid development of smart grid technology,satellite clock synchronization services have become a key factor in ensuring the stable operation of the power system.However,under certain extreme conditions,the service does expose deficiencies in the current mechanism of network time protocol(NTP).This paper is based on a real case of a power grid time jumping to 2142,and for the first time reveals the risk of incorrect time output in the initialization phase of satellite clock sources,as well as the vulnerability of NTP client restart forcing time jump synchronization.Through experiments,it has been confirmed that when the clock source is abnormal(time deviation Δt>1 000 s),the NTP service will experience unplanned exits and passive restarts,which will lead to system time disturbances. This problem is commonly found in fields such as power,communication,and industrial control. In response to this issue,a layered optimization scheme is proposed,encompassing the abnormal clock source locking,optimization of operating system NTP mechanism,business system time monitoring,and operational specifications and standard revisions.Practice has proven that this solution can effectively solve the problem of NTP mechanism deficiency in the event of clock source anomalies,enhance the risk resistance of NTP services,improve the stability of power system time synchronization,provide reference for related fields,and have an important impact on promoting the progress of NTP standards.
[Downloads: 17 ] [Citations: 0 ] [Reads: 0 ] HTML PDF Cite this article
Integrated Energy System for Agricultural Parks Incorporating Biomass Fuel Cells
TIAN Chongyi;WANG Luo;LI Ji;YAN Yi;SHAO Zhuliang;To address the issue of energy wastage in rural agricultural parks,this study proposes an integrated energy system based on Thermolib.By leveraging the wind,solar,and biomass resources available in agricultural parks,along with supportive policy environments,an integrated optimization design scheme is developed and a simulation platform is established.First,an integrated energy system structure centered on a combined heat and power system—featuring synergistic solid oxide fuel cells and gas turbines—is constructed,and a system simulation platform is created. Building on this,an integrated optimization design approach coordinating upper-level equipment capacity and lower-level operation is proposed,enabling system simulation and optimization analysis through the Thermolib mechanistic model. Finally,the proposed integrated optimization design method is compared with the traditional “heat-led electricity” optimization design method under two operational strategies:“optimized operation” and “heat-led electricity.” The results indicate that under the “optimized operation” strategy,the integrated optimization design reduces daily average carbon dioxide emissions by 3.67%,24.61%,and 2.70% in summer,transitional seasons,and winter,respectively;operational costs decrease by 5.72%,10.34%,and 6.80%,respectively;and system energy efficiency improves by approximately 10%. Under the “heat-led electricity” operational strategy,emission reductions are 2.76%,23.32%,and 7.23%,respectively;operational cost reductions are 5.37%,10.65%,and 3.68%,respectively;and system energy efficiency also shows significant improvement.
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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/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.
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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.
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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: 266 ] 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: 216 ] 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: 174 ] 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: 104 ] 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: 266 ] 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: 104 ] 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: 174 ] 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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