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利用可再生能源电解水制氢是实现能源转型和电力脱碳的关键技术.然而,功率波动和频繁启停是造成碱性电解槽运行寿命衰减的重大因素.为此,在分析电解槽单体运行特性的基础上,提出了考虑多电解槽多工况组合运行的电-氢-热综合能源系统优化调度模型.针对风电出力不确定性引起的实时调度阶段电解槽工况切换以及储能工作模式切换,建立了两阶段鲁棒调度模型,并采用嵌套列和约束生成算法对其进行求解.以4个不同场景算例进行仿真实验,结果表明,考虑多电解槽之间的灵活组合及其在实时调度过程中工况的快速切换可提高系统运行经济性,并可有效缓解电解槽功率波动引起的运行寿命衰减.
Keyword ：
两阶段鲁棒优化 两阶段鲁棒优化 多工况 多工况 嵌套列和约束生成算法 嵌套列和约束生成算法 碱性电解槽 碱性电解槽 组合运行 组合运行
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| GB/T 7714 | 陈朝旭 , 张亚超 , 朱蜀 et al. 考虑多电解槽多工况组合运行的电-氢-热综合能源系统优化调度 [J]. | 电网技术 , 2025 , 49 (2) : 542-551,中插43-中插44 . |
| MLA | 陈朝旭 et al. "考虑多电解槽多工况组合运行的电-氢-热综合能源系统优化调度" . | 电网技术 49 . 2 (2025) : 542-551,中插43-中插44 . |
| APA | 陈朝旭 , 张亚超 , 朱蜀 , 谢仕炜 . 考虑多电解槽多工况组合运行的电-氢-热综合能源系统优化调度 . | 电网技术 , 2025 , 49 (2) , 542-551,中插43-中插44 . |
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A surge in EVs is bound to greatly impact on urban power grids and transportation networks. Studying how to accurately describe the impact of electric vehicle behaviors on the power-transportation network is of great significance. This paper considers the elasticity of demand for electric vehicles and their charging behaviors and introduces the quasi-variational inequalities (QVIs) to address the complexity of the game behavior modeling in the coupled network as well as its solution challenges. First, a hybrid traffic flow model is built, which includes the elastic demand and charging behavior of EVs. On this basis, a QVI framework is proposed to characterize the elastic mixed user equilibrium state, and its equivalence to the equilibrium state is proved. Secondly, a second-order cone programming model for the distribution network considering charging loads is proposed, and the coupling relationship between the two networks is established. Then, the mechanism of the coupled network is described as a double-layer game problem using fixed-point mapping. Given the characteristics of inner and outer game problems, an outer fixed point iteration algorithm and an inner viscous projection approximation algorithm are developed respectively to form a complete method for identifying the equilibrium state of the two-layer game. The simulation based on a test system in Fuzhou verifies the effectiveness of the modeling and solving methods in this paper, which shows the necessity of considering the elastic demand of EVs for the equilibrium state analysis of the coupled networks. ©2024 Chin.Soc.for Elec.Eng.
Keyword ：
Approximation algorithms Approximation algorithms Electric loads Electric loads Electric power distribution Electric power distribution Electric vehicles Electric vehicles Game theory Game theory Iterative methods Iterative methods Second-order cone programming Second-order cone programming Urban transportation Urban transportation Variational techniques Variational techniques
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| GB/T 7714 | Xie, Shiwei , Chen, Kaiyue , Zhang, Yachao et al. A Two-layer Game Model for Power-transportation Coupled Networks Considering Demand Elasticity——Based on Quasi-variational inequalities [J]. | Proceedings of the Chinese Society of Electrical Engineering , 2024 , 44 (6) : 2185-2196 . |
| MLA | Xie, Shiwei et al. "A Two-layer Game Model for Power-transportation Coupled Networks Considering Demand Elasticity——Based on Quasi-variational inequalities" . | Proceedings of the Chinese Society of Electrical Engineering 44 . 6 (2024) : 2185-2196 . |
| APA | Xie, Shiwei , Chen, Kaiyue , Zhang, Yachao , Xie, Longtao , Wu, Qiuwei . A Two-layer Game Model for Power-transportation Coupled Networks Considering Demand Elasticity——Based on Quasi-variational inequalities . | Proceedings of the Chinese Society of Electrical Engineering , 2024 , 44 (6) , 2185-2196 . |
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With the large-scale development of electric vehicles, it is of great significance to study how to effectively consider the travel behavior mechanism of users and formulate rational charging prices for charging stations for the collaborative optimization and scheduling of power-transportation networks. To solve this problem, this paper proposes a pricing strategy for charging stations in the power-transportation coupling network considering the user travel cost budget. Firstly, a transportation user equilibrium model considering the travel cost budget is established, and the equilibrium state is equivalently described through variational inequalities, so as to characterize the travel demands and charging behaviors of electric vehicles. Secondly, a second-order cone optimization model for distribution networks considering power reduction is constructed. The charging station pricing problem has been transformed into an optimization problem with variational inequality constraints, and an alternating iteration algorithm combined with an extra-gradient algorithm is designed to solve the problem. Finally, the effectiveness of the proposed model and methods is verified through a case, and the results show the necessity of considering the travel cost budget for charging pricing in coupled networks. © 2024 Automation of Electric Power Systems Press. All rights reserved.
Keyword ：
Budget control Budget control Charging (batteries) Charging (batteries) Constraint theory Constraint theory Costs Costs Electric power distribution Electric power distribution Electric vehicles Electric vehicles Iterative methods Iterative methods Optimization Optimization Variational techniques Variational techniques
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| GB/T 7714 | Xie, Longtao , Xie, Shiwei , Chen, Kaiyue et al. Pricing Strategy of Charging Station in Power-Transportation Coupling Network Considering User Travel Cost Budget [J]. | Automation of Electric Power Systems , 2024 , 48 (7) : 201-209 . |
| MLA | Xie, Longtao et al. "Pricing Strategy of Charging Station in Power-Transportation Coupling Network Considering User Travel Cost Budget" . | Automation of Electric Power Systems 48 . 7 (2024) : 201-209 . |
| APA | Xie, Longtao , Xie, Shiwei , Chen, Kaiyue , Zhang, Yachao , Chen, Zhidong . Pricing Strategy of Charging Station in Power-Transportation Coupling Network Considering User Travel Cost Budget . | Automation of Electric Power Systems , 2024 , 48 (7) , 201-209 . |
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Electric logistics vehicles (ELVs) have the potential to significantly reduce pollution and carbon emissions, which are considered highly promising for achieving green logistics. However, the challenges posed by time-consuming charging processes, indirect carbon emissions, and fluctuating electricity prices hinder the economic viability of ELVs. To enhance the competitiveness of ELVs compared to internal combustion engine vehicles, this study introduces a coordinated optimization framework that aims to minimize both logistics and electricity costs within an urban logistics system. In terms of logistics, a simultaneous loading and partial charging strategy is proposed to improve the logistics efficiency of ELVs by effectively utilizing the charging time. In terms of electricity, we integrate suburban renewable energy sources with ELVs to reduce indirect carbon emissions resulting from thermal power generation. Additionally, ELVs are aggregated to participate in bidding in the dayahead and real-time electricity markets through charging scheduling. To address uncertainties related to electricity prices and renewable generation, optimal logistics scheduling and electricity dispatch strategies for ELVs are formulated as a stochastic programming problem. This problem is then solved using a specially designed matheuristic approach. The effectiveness of the proposed coordinated optimization framework is confirmed through case studies on a large-scale urban logistics system.
Keyword ：
Coordinated optimization Coordinated optimization Electricity market Electricity market Electric logistics vehicles Electric logistics vehicles Renewable energy sources Renewable energy sources Stochastic programming Stochastic programming Urban logistics Urban logistics
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| GB/T 7714 | Chen, Yuanyi , Hu, Simon , Zheng, Yanchong et al. Coordinated optimization of logistics scheduling and electricity dispatch for electric logistics vehicles considering uncertain electricity prices and renewable generation [J]. | APPLIED ENERGY , 2024 , 364 . |
| MLA | Chen, Yuanyi et al. "Coordinated optimization of logistics scheduling and electricity dispatch for electric logistics vehicles considering uncertain electricity prices and renewable generation" . | APPLIED ENERGY 364 (2024) . |
| APA | Chen, Yuanyi , Hu, Simon , Zheng, Yanchong , Xie, Shiwei , Yang, Qiang , Wang, Yubin et al. Coordinated optimization of logistics scheduling and electricity dispatch for electric logistics vehicles considering uncertain electricity prices and renewable generation . | APPLIED ENERGY , 2024 , 364 . |
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As electric vehicles (EVs) rapidly proliferate, they intensify the demands on coupled power and transportation networks (CPTNs), leading to operational challenges such as congestion and overload. To address these challenges and enhance the dynamic performance of CPTNs, this paper proposes a coordinated expansion planning model based on a dynamic modeling method to support the upgrading of CPTNs (in distribution lines, distributed generators, chargers and roads). The spatial-temporal evolution and interaction of power flow in power distribution systems and traffic flow in transportation networks is incorporated into a dynamic network equilibrium, revealing the impact of network expansion on system performance. Uniquely, it replaces static link models with a novel point queue model to better track queuing and charging dynamics at fast charging stations. A scenario -based bi-level stochastic optimization model is formulated to determine the optimal coordinated expansion strategies, considering the diversity of electric and traffic demand scenarios. The optimization problem is solved using a designed marginal -cost -based particle swarm optimization algorithm. Case studies demonstrate the model's effectiveness in alleviating 95.89% traffic congestion and reducing 4.75% low voltage risk and 28.86% overload risk, marking a significant advancement in CPTN management.
Keyword ：
Coupled power and transportation network Coupled power and transportation network Dynamic network equilibrium Dynamic network equilibrium Electric vehicles Electric vehicles Expansion planning Expansion planning Point queue model Point queue model
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| GB/T 7714 | Chen, Yuanyi , Hu, Simon , Zheng, Yanchong et al. Coordinated expansion planning of coupled power and transportation networks considering dynamic network equilibrium [J]. | APPLIED ENERGY , 2024 , 360 . |
| MLA | Chen, Yuanyi et al. "Coordinated expansion planning of coupled power and transportation networks considering dynamic network equilibrium" . | APPLIED ENERGY 360 (2024) . |
| APA | Chen, Yuanyi , Hu, Simon , Zheng, Yanchong , Xie, Shiwei , Hu, Qinru , Yang, Qiang . Coordinated expansion planning of coupled power and transportation networks considering dynamic network equilibrium . | APPLIED ENERGY , 2024 , 360 . |
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Electric vehicles (EVs), as popular transportation carriers and flexible electric loads, couple both the power distribution networks and transportation networks. The pricing schemes of fast charging stations significantly affects the EVs' on-tirp charging behaviors and the operations of coupled power and transportation networks. This interdisciplinary paper proposes an optimal dynamic pricing method for fast charging stations to boost charging network operator' (CNO's) profits and avoid excessive charging costs of EVs. Time-varying traffic flow and charging demands are generated by a dynamic traffic assignment simulation, where a boundedly rational dynamic user equilibrium model is presented to capture the cost sensitivity of EVs and gasoline vehicle users. Additionally, a market regulator supervises the CNO's pricing, balancing the interests of the CNO and users via a regulation constraint. To address the optimal dynamic pricing issue, we propose a three-level Stackelberg game involving the distribution network operator, CNO, and users. The existence of a game equilibrium is assured by the fixed-point theory. A Gauss-Seidel iteration algorithm with inertia weight is designed to solve the pricing problem. The numerical results have corroborated the effectiveness of the proposed method, illuminating the effects of bounded rationality and market regulation on the CNO's profits and users' travel costs.
Keyword ：
Bounded rationality Bounded rationality Costs Costs dynamic user equilibrium dynamic user equilibrium fast charging station fast charging station Heuristic algorithms Heuristic algorithms market regulation market regulation optimal dynamic pricing optimal dynamic pricing Optimization Optimization Pricing Pricing Regulation Regulation Transportation Transportation Vehicle dynamics Vehicle dynamics
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| GB/T 7714 | Chen, Yuanyi , Hu, Simon , Xie, Shiwei et al. Optimal Dynamic Pricing of Fast Charging Stations Considering Bounded Rationality of Users and Market Regulation [J]. | IEEE TRANSACTIONS ON SMART GRID , 2024 , 15 (4) : 3950-3965 . |
| MLA | Chen, Yuanyi et al. "Optimal Dynamic Pricing of Fast Charging Stations Considering Bounded Rationality of Users and Market Regulation" . | IEEE TRANSACTIONS ON SMART GRID 15 . 4 (2024) : 3950-3965 . |
| APA | Chen, Yuanyi , Hu, Simon , Xie, Shiwei , Zheng, Yanchong , Hu, Qinru , Yang, Qiang . Optimal Dynamic Pricing of Fast Charging Stations Considering Bounded Rationality of Users and Market Regulation . | IEEE TRANSACTIONS ON SMART GRID , 2024 , 15 (4) , 3950-3965 . |
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The increasing proliferation of electric vehicles (EVs) and renewable energy sources (RESs) poses challenges to the operation of coupled power and transportation networks due to their uncertainties, where EV users' routing and charging behaviors are subjected to their complex decision-making rationality. To economically manage numerous fast charging stations with onsite RESs, this article focuses on the optimal day-ahead bidding and intraday scheduling strategies of a fast charging station aggregator (FCSA) to maximize its profit in the electricity market. Traffic simulation based on boundedly rational dynamic user equilibrium is presented to model charging demand under bounded rationality of EV users. To efficiently manipulate large-scale EVs, a group charging scheduling framework is proposed to reduce decision variables. Uncertainties in electricity prices, RES generation, traffic demand, and user rationality are addressed by stochastic programming. Case studies have validated the effectiveness of the proposed method in reducing the FCSA's operational costs and RES curtailment.
Keyword ：
Bounded rationality Bounded rationality charging dispatch charging dispatch dynamic user equilibrium dynamic user equilibrium electricity market electricity market fast charging station aggregator (FCSA) fast charging station aggregator (FCSA) stochastic programming stochastic programming
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| GB/T 7714 | Chen, Yuanyi , Zheng, Yanchong , Hu, Simon et al. Optimal Operation of Fast Charging Station Aggregator in Uncertain Electricity Markets Considering Onsite Renewable Energy and Bounded EV User Rationality [J]. | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS , 2024 , 20 (11) : 13384-13395 . |
| MLA | Chen, Yuanyi et al. "Optimal Operation of Fast Charging Station Aggregator in Uncertain Electricity Markets Considering Onsite Renewable Energy and Bounded EV User Rationality" . | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 20 . 11 (2024) : 13384-13395 . |
| APA | Chen, Yuanyi , Zheng, Yanchong , Hu, Simon , Xie, Shiwei , Yang, Qiang . Optimal Operation of Fast Charging Station Aggregator in Uncertain Electricity Markets Considering Onsite Renewable Energy and Bounded EV User Rationality . | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS , 2024 , 20 (11) , 13384-13395 . |
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Nowadays, charging stations, hydrogen refueling stations, and natural gas refueling stations are being integrated into hybrid energy refueling stations (HERSs) to save investment costs and offer diverse refueling services altogether. This research proposes a risk-averse energy dispatch strategy for HERSs, incorporating bounded user rationality and operational uncertainties. A boundedly rational mixed user equilibrium model is proposed to capture the mobility of heterogeneous traffic flow, including electric vehicles (EVs), hydrogen fuel cell vehicles (HFCVs), and natural gas vehicles (NGVs), each with distinct refueling demands characterized by bounded decision-making rationality. A grid-connected HERS model integrated with carbon capture and storage and onsite renewable energy sources is designed to provide sustainable refueling services to EVs, HFCVs, and NGVs. Furthermore, an HERS operator aggregates multiple HERSs to participate in the day-ahead and real-time electricity markets. The optimal equipment operation and energy bidding strategies for the HERS operator are solved using a risk-averse approach based on conditional value-at-risk, addressing operational uncertainties from heterogeneous refueling demand, electricity markets, and renewable generation. Numerical results have validated the effectiveness of the proposed method in promoting net-zero emissions, securing economic benefits, and mitigating risks associated with operational uncertainties.
Keyword ：
Bounded rationality Bounded rationality Conditional value-at-risk Conditional value-at-risk Electricity market Electricity market Hybrid energy refueling station Hybrid energy refueling station Mixed user equilibrium Mixed user equilibrium
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| GB/T 7714 | Chen, Yuanyi , Zheng, Yanchong , Hu, Simon et al. Risk-averse energy dispatch for hybrid energy refueling stations considering Boundedly rational mixed user equilibrium and operational uncertainties [J]. | APPLIED ENERGY , 2024 , 376 . |
| MLA | Chen, Yuanyi et al. "Risk-averse energy dispatch for hybrid energy refueling stations considering Boundedly rational mixed user equilibrium and operational uncertainties" . | APPLIED ENERGY 376 (2024) . |
| APA | Chen, Yuanyi , Zheng, Yanchong , Hu, Simon , Xie, Shiwei , Yang, Qiang . Risk-averse energy dispatch for hybrid energy refueling stations considering Boundedly rational mixed user equilibrium and operational uncertainties . | APPLIED ENERGY , 2024 , 376 . |
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随着电动汽车的日益普及,电力网和交通网呈融合发展态势.新型电力-交通融合系统耦合机理复杂,传统实验教学方法逐渐难以适用.为适应未来交叉学科实验教学的要求,构建电力-交通融合系统仿真实验平台,提供对融合系统均衡状态分析的可视化工具.通过选取不同的电动汽车渗透率实例进行仿真分析,表明仿真平台内嵌模型和算法的有效性,探讨了该平台的教学和科研用途.该实验仿真平台,不仅为电力-交通融合方向的实验教学提供实践性平台,还可推动电力-交通交叉学科的发展和教学改革.
Keyword ：
均衡状态 均衡状态 实验仿真平台 实验仿真平台 电力交通融合 电力交通融合 电动汽车 电动汽车
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| GB/T 7714 | 谢仕炜 , 张从容 , 张亚超 . 电力-交通融合系统均衡状态分析与实验仿真平台设计 [J]. | 实验室研究与探索 , 2024 , 43 (9) : 41-48 . |
| MLA | 谢仕炜 et al. "电力-交通融合系统均衡状态分析与实验仿真平台设计" . | 实验室研究与探索 43 . 9 (2024) : 41-48 . |
| APA | 谢仕炜 , 张从容 , 张亚超 . 电力-交通融合系统均衡状态分析与实验仿真平台设计 . | 实验室研究与探索 , 2024 , 43 (9) , 41-48 . |
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The increasing presence of hybrid hydrogen-electric vehicles (HEVs) in urban areas leads to interdependence among power networks (PNs), transportation networks (TNs), and hydrogen networks (HNs). Therefore, this paper proposes a new energy pricing scheme for multi-energy networks (MENs) considering the effect of HEV mobility. To capture the responsive behaviors of HEV drivers, a new user equilibrium (UE) model is proposed, which incorporates flow-dependent energy consumption of HEVs and their choices regarding routing, charging, and refueling. For mathematical tractability, the UE model is recast into a variational inequality (VI) formulation. Based on the VI formulation, a coordinated energy pricing scheme is proposed for the MENs to capture the interactions between pricing strategies and HEV user behaviors. The scheme is generalized as an optimization problem with VI constraints, and a fixed-point based iterative algorithm is developed to efficiently obtain the optimal solution. The case study results demonstrate the effectiveness of the pricing scheme, which successfully considers the behavior of HEV drivers and realizes the optimal operation of the MENs with HEV mobility.
Keyword ：
Behavioral sciences Behavioral sciences Energy consumption Energy consumption Energy pricing Energy pricing Hybrid electric vehicles Hybrid electric vehicles hybrid hydrogen-electric vehicle hybrid hydrogen-electric vehicle Hydrogen Hydrogen Manganese Manganese multi-energy networks multi-energy networks Pricing Pricing variational inequality variational inequality Vehicles Vehicles
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| GB/T 7714 | Xie, Shiwei , Wu, Qiuwei , Zhang, Menglin et al. Coordinated Energy Pricing for Multi-Energy Networks Considering Hybrid Hydrogen-Electric Vehicle Mobility [J]. | IEEE TRANSACTIONS ON POWER SYSTEMS , 2024 , 39 (6) : 7304-7317 . |
| MLA | Xie, Shiwei et al. "Coordinated Energy Pricing for Multi-Energy Networks Considering Hybrid Hydrogen-Electric Vehicle Mobility" . | IEEE TRANSACTIONS ON POWER SYSTEMS 39 . 6 (2024) : 7304-7317 . |
| APA | Xie, Shiwei , Wu, Qiuwei , Zhang, Menglin , Guo, Ye . Coordinated Energy Pricing for Multi-Energy Networks Considering Hybrid Hydrogen-Electric Vehicle Mobility . | IEEE TRANSACTIONS ON POWER SYSTEMS , 2024 , 39 (6) , 7304-7317 . |
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