With the increasing emphasis on sustainable energy and the advancements in modern agriculture,flexible agricultural power loads present challenges to the reliable operation of the agricultural energy internet.However,...With the increasing emphasis on sustainable energy and the advancements in modern agriculture,flexible agricultural power loads present challenges to the reliable operation of the agricultural energy internet.However,research on the coupling of energy system security with agricultural security is insufficient and fails to consider the impacts of meteorological elements on agricultural power loads.To address these gaps,this paper establishes load models for irrigation and light supplementation based on the actual cultivation demands of winter dragon fruit in Guangxi province.A static security index system is developed to analyze the security,considering the unique features of agricultural power demands.The condition of the distribution network is assessed by comparing the indexes with predefined limits,using a China 41-bus distribution network.Finally,the optimal scheme for nocturnal supplemental lighting treatment and irrigation is determined based on the method for maintaining secure operation of the distribution network.This study serves as a guide for simulating current farming power loads and demonstrates how security analysis of the agricultural energy internet contributes to the large-scale and sophisticated development of modern agriculture.展开更多
The Arctic and Antarctic regions are sensitive to global climate change.Monitoring climatological and ecological changes in such areas has become urgently necessary to address climate change and ensure sustainable hum...The Arctic and Antarctic regions are sensitive to global climate change.Monitoring climatological and ecological changes in such areas has become urgently necessary to address climate change and ensure sustainable human development.Therefore,it is important to develop automatic monitoring technology for polar regions and to produce air-ice-sea long-period,multiscale,and unmanned monitoring equipment.This paper describes an unmanned ice station observation system,the autonomous observation platform of a polar unmanned aerial vehicle,dual-use ice-sea buoys,temperature chain buoys,and a wind-solar-hydrogen storage clean energy system suitable for use in the extreme polar environment.Additionally,a coupled air-ice-sea autonomous observation station currently under development is also introduced.展开更多
The world's first large-scale clean energy system in Antarctica has been launched at China's Qinling Station,marking a milestone in sustainable polar research.This system integrates wind,solar,hydrogen and bat...The world's first large-scale clean energy system in Antarctica has been launched at China's Qinling Station,marking a milestone in sustainable polar research.This system integrates wind,solar,hydrogen and battery technologies to establish a renewable energy framework suitable for polar environments.To tackle Antarctica's extreme conditions during research and development phases,Taiyuan University of Technology(TYUT)built a Polar Clean Energy Laboratory that simulates harsh environments such as strong winds,low temperatures and polar day/night cycles.The lab enables rigorous testing and optimisation of equipment before deployment.It also provides a closed-loop research cycle,from lab design to polar application and iterative upgrades,ensuring reliability and efficiency in extreme conditions.This progress not only supports eco-friendly polar operations but also offers insights for global clean energy development in extreme environments.展开更多
With the increasing integration of electric vehicles(EVs)into urban energy systems,the strong coupling among the stochastic nature of EV charging behaviours,the dynamic operation of power grids,and the variability of ...With the increasing integration of electric vehicles(EVs)into urban energy systems,the strong coupling among the stochastic nature of EV charging behaviours,the dynamic operation of power grids,and the variability of transportation networks poses significant challenges to urban infrastructure planning.To address this issue,this paper proposes a charging station planning method incorporating dynamic traffic load forecasting.First,a charging demand prediction model is developed by integrating the urban traffic network structure with EV travel behaviour characteristics.Then,an optimisation model for charging station siting and capacity planning is formulated with the objective of minimising the total integrated cost,while considering the coupling constraints between the transportation network and the distribution system.The model is solved using an improved particle swarm optimisation(IPSO)algorithm.Finally,case studies based on the IEEE 33-bus distribution system and a 25-node transportation network are conducted.Simulation results demonstrate that the proposed method can effectively accommodate the dynamic charging demands of EVs,achieve rapid convergence,and reduce the overall cost of coordinated operation between charging stations and the distribution system by more than 10% compared with traditional methods,thereby enhancing overall operational efficiency.展开更多
Pseudo-measurement production of distribution networks is an important technology for ensuring the visibility of distribution networks.The paper discusses the concept of pseudo-metrics,databases,algorithms,and applica...Pseudo-measurement production of distribution networks is an important technology for ensuring the visibility of distribution networks.The paper discusses the concept of pseudo-metrics,databases,algorithms,and applications in practical engineering.Firstly,the basic concept of Pseudo-measurement of the distribution network is introduced.Subsequently,various pseudo-measurement databases and algorithms are discussed in detail,and the advantages and limitations of these methods in dealing with the historical and operational data of medium-voltage pseudo-measurement distribution networks are compared and analysed.Then,the main application of pseudo-measurement is analysed.Finally,the main challenges in the field of pseudo-measurement of the distribution networks are discussed,such as data quality,computational complexity,model accuracy,and feasibility in practical application.The development direction of future research is envisaged.展开更多
Solid-state Li metal battery has attracted increasing interests for its potentiallyhigh energy density and excellent safety assurance, which is a promising candidatefor next generation battery system. However, the low...Solid-state Li metal battery has attracted increasing interests for its potentiallyhigh energy density and excellent safety assurance, which is a promising candidatefor next generation battery system. However, the low ionic conductivityand Li^(+) transport number of solid-state polymer electrolytes limit their practicalapplication. Herein, a composite polymer electrolyte with self-insertedstructure is proposed using the layered double hydroxides (LDHs) as dopant toachieve a fast Li^(+) transport channel in poly(vinylidene-co-trifluoroethylene) [P(VDF-TrFE)] based polymer electrolyte. In such a composite electrolyte, P(VDF-TrFE) polymer has an all-trans conformation, in which all fluorineatoms locate on one side of the polymer chain, providing fast Li^(+) transporthighways. Meanwhile, the LDH can immobilize the anions of Li salts based onthe electrostatic interactions, promoting the dissociation of Li salts, therebyenhancing the ionic conductivity (6.4 × 10^(-4) S cm^(-1)) and Li^(+) transferencenumber (0.76). The anion immobilization effect can realize uniform electricfield distribution at the anode surface and suppress the dendritic Li growth.Moreover, the hydrogen bonding interaction between LDH and polymerchains also endows the composite electrolyte with strong mechanical properties.Thus, at room temperature, the Li jj Li symmetric cells can be stablycycled over 1000 h at a current density of 0.2 mA cm^(-2), and the full cells withLiFePO_(4) cathode deliver a high capacity retention (>95%) after 200 cycles. This work offers a promising route to construct solid-state polymer electrolytes withfast Li^(+) transport.展开更多
Considering the enormous potential application of autonomous mobility-on-demand(AMoD)systems in future ur-ban transportation,the charging behavior of AMoD fleets,as a key link connecting the power system and the trans...Considering the enormous potential application of autonomous mobility-on-demand(AMoD)systems in future ur-ban transportation,the charging behavior of AMoD fleets,as a key link connecting the power system and the transportation system,needs to be guided by a reasonable charging demand management method.This paper uses game theory to investi-gate charging pricing methods for the AMoD fleets.Firstly,an AMoD fleet scheduling model with appropriate scale and mathe-matical complexity is established to describe the spatio-tempo-ral action patterns of the AMoD fleet.Subsequently,using Stackelberg game and Nash bargaining,two game frameworks,i.e.,non-cooperative and cooperative,are designed for the charging station operator(CSO)and the AMoD fleet.Then,the interaction trends between the two entities and the mechanism of charging price formation are discussed,along with an analy-sis of the game implications for breaking the non-cooperative di-lemma and moving towards cooperation.Finally,numerical ex-periments based on real-world city-scale data are provided to validate the designed game frameworks.The results show that the spatio-temporal distribution of charging prices can be cap-tured and utilized by the AMoD fleet.The CSO can then use this action pattern to determine charging prices to optimize the profit.Based on this,negotiated bargaining improves the over-all benefits for stakeholders in urban transportation.展开更多
基金supported by Shanxi Energy Internet Research Institute(SXEI2023B003).
文摘With the increasing emphasis on sustainable energy and the advancements in modern agriculture,flexible agricultural power loads present challenges to the reliable operation of the agricultural energy internet.However,research on the coupling of energy system security with agricultural security is insufficient and fails to consider the impacts of meteorological elements on agricultural power loads.To address these gaps,this paper establishes load models for irrigation and light supplementation based on the actual cultivation demands of winter dragon fruit in Guangxi province.A static security index system is developed to analyze the security,considering the unique features of agricultural power demands.The condition of the distribution network is assessed by comparing the indexes with predefined limits,using a China 41-bus distribution network.Finally,the optimal scheme for nocturnal supplemental lighting treatment and irrigation is determined based on the method for maintaining secure operation of the distribution network.This study serves as a guide for simulating current farming power loads and demonstrates how security analysis of the agricultural energy internet contributes to the large-scale and sophisticated development of modern agriculture.
基金supported by the National Key Research and Development Program of China(Grant no.2022YFC2807603)。
文摘The Arctic and Antarctic regions are sensitive to global climate change.Monitoring climatological and ecological changes in such areas has become urgently necessary to address climate change and ensure sustainable human development.Therefore,it is important to develop automatic monitoring technology for polar regions and to produce air-ice-sea long-period,multiscale,and unmanned monitoring equipment.This paper describes an unmanned ice station observation system,the autonomous observation platform of a polar unmanned aerial vehicle,dual-use ice-sea buoys,temperature chain buoys,and a wind-solar-hydrogen storage clean energy system suitable for use in the extreme polar environment.Additionally,a coupled air-ice-sea autonomous observation station currently under development is also introduced.
基金supported by the National Natural Science Foundation of China(NSFC)(Grant U22A6007).
文摘The world's first large-scale clean energy system in Antarctica has been launched at China's Qinling Station,marking a milestone in sustainable polar research.This system integrates wind,solar,hydrogen and battery technologies to establish a renewable energy framework suitable for polar environments.To tackle Antarctica's extreme conditions during research and development phases,Taiyuan University of Technology(TYUT)built a Polar Clean Energy Laboratory that simulates harsh environments such as strong winds,low temperatures and polar day/night cycles.The lab enables rigorous testing and optimisation of equipment before deployment.It also provides a closed-loop research cycle,from lab design to polar application and iterative upgrades,ensuring reliability and efficiency in extreme conditions.This progress not only supports eco-friendly polar operations but also offers insights for global clean energy development in extreme environments.
基金National Natural Science Foundation of China under Project(52377075)Optimisation Planning Research on Integrated Transportation Energy Systems Considering Clean Energy Utilisation under Project(SXEI 2023 B 002).
文摘With the increasing integration of electric vehicles(EVs)into urban energy systems,the strong coupling among the stochastic nature of EV charging behaviours,the dynamic operation of power grids,and the variability of transportation networks poses significant challenges to urban infrastructure planning.To address this issue,this paper proposes a charging station planning method incorporating dynamic traffic load forecasting.First,a charging demand prediction model is developed by integrating the urban traffic network structure with EV travel behaviour characteristics.Then,an optimisation model for charging station siting and capacity planning is formulated with the objective of minimising the total integrated cost,while considering the coupling constraints between the transportation network and the distribution system.The model is solved using an improved particle swarm optimisation(IPSO)algorithm.Finally,case studies based on the IEEE 33-bus distribution system and a 25-node transportation network are conducted.Simulation results demonstrate that the proposed method can effectively accommodate the dynamic charging demands of EVs,achieve rapid convergence,and reduce the overall cost of coordinated operation between charging stations and the distribution system by more than 10% compared with traditional methods,thereby enhancing overall operational efficiency.
基金Shanxi Energy Internet Research Institute,Grant/Award Number:SXEI2023ZD002。
文摘Pseudo-measurement production of distribution networks is an important technology for ensuring the visibility of distribution networks.The paper discusses the concept of pseudo-metrics,databases,algorithms,and applications in practical engineering.Firstly,the basic concept of Pseudo-measurement of the distribution network is introduced.Subsequently,various pseudo-measurement databases and algorithms are discussed in detail,and the advantages and limitations of these methods in dealing with the historical and operational data of medium-voltage pseudo-measurement distribution networks are compared and analysed.Then,the main application of pseudo-measurement is analysed.Finally,the main challenges in the field of pseudo-measurement of the distribution networks are discussed,such as data quality,computational complexity,model accuracy,and feasibility in practical application.The development direction of future research is envisaged.
基金National Natural Science Foundation of China,Grant/Award Number:52071227Beijing Natural Science Foundation-Xiaomi Innovation Joint Foundation,Grant/Award Number:L223011+6 种基金Key Scientific Research Project in Shanxi Province,Grant/Award Number:201805D121003Special Found Projects for Central Government Guidance to Local Science and Technology Development,Science and Technology Major Projects of Shanxi Province,Grant/Award Number:20191102004Young Elite Scientists Sponsorship Program,Grant/Award Number:CAST(2022QNRC001)Fundamental Research Program of Shanxi Province,Grant/Award Number:202103021222006Shanxi Energy Internet Research Institute,Grant/Award Number:SXEI2023A004Shanxi Scholarship Council of China,Grant/Award Number:HGKY2019085Open Research Fund of Guangdong Advanced Carbon Materials Co.,Ltd,Grant/Award Number:Kargen-2024B0905。
文摘Solid-state Li metal battery has attracted increasing interests for its potentiallyhigh energy density and excellent safety assurance, which is a promising candidatefor next generation battery system. However, the low ionic conductivityand Li^(+) transport number of solid-state polymer electrolytes limit their practicalapplication. Herein, a composite polymer electrolyte with self-insertedstructure is proposed using the layered double hydroxides (LDHs) as dopant toachieve a fast Li^(+) transport channel in poly(vinylidene-co-trifluoroethylene) [P(VDF-TrFE)] based polymer electrolyte. In such a composite electrolyte, P(VDF-TrFE) polymer has an all-trans conformation, in which all fluorineatoms locate on one side of the polymer chain, providing fast Li^(+) transporthighways. Meanwhile, the LDH can immobilize the anions of Li salts based onthe electrostatic interactions, promoting the dissociation of Li salts, therebyenhancing the ionic conductivity (6.4 × 10^(-4) S cm^(-1)) and Li^(+) transferencenumber (0.76). The anion immobilization effect can realize uniform electricfield distribution at the anode surface and suppress the dendritic Li growth.Moreover, the hydrogen bonding interaction between LDH and polymerchains also endows the composite electrolyte with strong mechanical properties.Thus, at room temperature, the Li jj Li symmetric cells can be stablycycled over 1000 h at a current density of 0.2 mA cm^(-2), and the full cells withLiFePO_(4) cathode deliver a high capacity retention (>95%) after 200 cycles. This work offers a promising route to construct solid-state polymer electrolytes withfast Li^(+) transport.
基金This work was supported by Shanxi Energy Internet Research Institute(No.SXEI2023A 003).
文摘Considering the enormous potential application of autonomous mobility-on-demand(AMoD)systems in future ur-ban transportation,the charging behavior of AMoD fleets,as a key link connecting the power system and the transportation system,needs to be guided by a reasonable charging demand management method.This paper uses game theory to investi-gate charging pricing methods for the AMoD fleets.Firstly,an AMoD fleet scheduling model with appropriate scale and mathe-matical complexity is established to describe the spatio-tempo-ral action patterns of the AMoD fleet.Subsequently,using Stackelberg game and Nash bargaining,two game frameworks,i.e.,non-cooperative and cooperative,are designed for the charging station operator(CSO)and the AMoD fleet.Then,the interaction trends between the two entities and the mechanism of charging price formation are discussed,along with an analy-sis of the game implications for breaking the non-cooperative di-lemma and moving towards cooperation.Finally,numerical ex-periments based on real-world city-scale data are provided to validate the designed game frameworks.The results show that the spatio-temporal distribution of charging prices can be cap-tured and utilized by the AMoD fleet.The CSO can then use this action pattern to determine charging prices to optimize the profit.Based on this,negotiated bargaining improves the over-all benefits for stakeholders in urban transportation.
