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学者姓名：谢仕炜
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电动汽车数量的激增势必给城市电网和交通网带来巨大冲击，研究如何准确描述电动汽车行为对电力-交通网络的影响具有重大价值和意义。充分考虑电动汽车需求弹性及其充电行为，并针对问题的复杂性引入拟变分不等式理论来解决耦合网络博弈行为建模及求解的难题。首先，建立含电动汽车弹性需求和充电行为的混合交通流模型；基于此，提出表征弹性混合交通用户均衡状态的拟变分不等式框架，并证明均衡状态与拟变分不等式的等价性。其次，提出含充电负荷的配电网二阶锥规划模型，并建立电力网和交通网之间的耦合关系。基于此，采用不动点映射的思想将电力-交通耦合网络的作用机理描述为双层博弈问题；针对内、外层博弈问题的特点，分别设计外层不动点迭代算法及内层黏性投影逼近算法，形成求解双层博弈均衡状态的完整方法。最后，仿真基于福州地区测试系统验证建模和求解方法的有效性，表明考虑电动汽车弹性需求行为对耦合网络均衡状态分析的必要性。
Keyword ：
双层博弈 双层博弈 弹性需求 弹性需求 拟变分不等式 拟变分不等式 电力-交通耦合网络 电力-交通耦合网络
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| GB/T 7714 | 谢仕炜 , 陈铠悦 , 张亚超 et al. 考虑需求弹性的电力-交通网络双层博弈模型——基于拟变分不等式 [J]. | 中国电机工程学报 , 2024 , 44 (06) : 2185-2197 . |
| MLA | 谢仕炜 et al. "考虑需求弹性的电力-交通网络双层博弈模型——基于拟变分不等式" . | 中国电机工程学报 44 . 06 (2024) : 2185-2197 . |
| APA | 谢仕炜 , 陈铠悦 , 张亚超 , 谢龙韬 , 吴秋伟 . 考虑需求弹性的电力-交通网络双层博弈模型——基于拟变分不等式 . | 中国电机工程学报 , 2024 , 44 (06) , 2185-2197 . |
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随着电动汽车的规模化发展，研究如何有效考虑用户的出行行为机理并制定合理的充电站充电价格，对电力-交通网络的协同优化调度具有重大意义。针对此问题，提出了考虑用户出行成本预算的电力-交通耦合网络充电站定价策略。首先，建立考虑出行成本预算的交通用户均衡模型，将均衡状态通过变分不等式进行等效描述，从而对电动汽车出行需求和充电行为进行刻画。其次，构建考虑功率削减的配电网二阶锥优化模型，将充电站定价问题转化为含有变分不等式约束的优化问题，并根据问题设计交替迭代算法和外梯度算法进行求解。最后，通过算例对所提模型和方法的有效性进行验证，结果表明了考虑出行成本预算对耦合网络充电定价的必要性。
Keyword ：
交通用户均衡 交通用户均衡 充电站定价 充电站定价 出行成本预算 出行成本预算 变分不等式 变分不等式 电力-交通耦合网络 电力-交通耦合网络 电动汽车 电动汽车
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| GB/T 7714 | 谢龙韬 , 谢仕炜 , 陈铠悦 et al. 考虑用户出行成本预算的电力-交通耦合网络充电站定价策略 [J]. | 电力系统自动化 , 2024 , 48 (07) : 201-209 . |
| MLA | 谢龙韬 et al. "考虑用户出行成本预算的电力-交通耦合网络充电站定价策略" . | 电力系统自动化 48 . 07 (2024) : 201-209 . |
| APA | 谢龙韬 , 谢仕炜 , 陈铠悦 , 张亚超 , 陈之栋 . 考虑用户出行成本预算的电力-交通耦合网络充电站定价策略 . | 电力系统自动化 , 2024 , 48 (07) , 201-209 . |
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This paper proposes a new method for service restoration of distribution network with the support of transportable power sources (TPSs) and repair crews (RCs). Firstly, a coupling model of distribution networks and vehicle routing of TPSs and RCs is proposed, where the TPSs serve as emergency power supply sources, and the RCs are used to repair the faulted lines. Considering the uncertainty of traffic congestion, the probability distribution of the travel time spent on each road is derived based on the Nesterov user equilibrium model, and a two-stage stochastic program is formulated to determine the optimal routings of TPSs and RCs. To efficiently solve the proposed stochastic mixed-integer linear program (MILP), a two-phase scenario reduction method is then developed to scale down the problem size, and an adaptive progressive hedging algorithm is used for an efficient solution. The effectiveness of the proposed methods and algorithms has been illustrated in a modified IEEE 33-bus system.
Keyword ：
distribution network distribution network Distribution networks Distribution networks Maintenance engineering Maintenance engineering Power systems Power systems repair crew repair crew Routing Routing Service restoration Service restoration Stochastic processes Stochastic processes stochastic program stochastic program Traffic congestion Traffic congestion traffic uncertainty traffic uncertainty transportable power source transportable power source Uncertainty Uncertainty
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| GB/T 7714 | Shi, Zhao , Xu, Yan , Xie, Dunjian et al. Optimal Coordination of Transportable Power Sources and Repair Crews for Service Restoration of Distribution Networks Considering Uncertainty of Traffic Congestion [J]. | JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY , 2024 , 12 (1) : 189-201 . |
| MLA | Shi, Zhao et al. "Optimal Coordination of Transportable Power Sources and Repair Crews for Service Restoration of Distribution Networks Considering Uncertainty of Traffic Congestion" . | JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY 12 . 1 (2024) : 189-201 . |
| APA | Shi, Zhao , Xu, Yan , Xie, Dunjian , Xie, Shiwei , Ghias, Amer M. Y. M. . Optimal Coordination of Transportable Power Sources and Repair Crews for Service Restoration of Distribution Networks Considering Uncertainty of Traffic Congestion . | JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY , 2024 , 12 (1) , 189-201 . |
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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 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. IEEE
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, Y. , Hu, S. , Xie, S. 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) : 1-1 . |
| MLA | Chen, Y. 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) : 1-1 . |
| APA | Chen, Y. , Hu, S. , Xie, S. , Zheng, Y. , Hu, Q. , Yang, Q. . Optimal Dynamic Pricing of Fast Charging Stations Considering Bounded Rationality of Users and Market Regulation . | IEEE Transactions on Smart Grid , 2024 , 15 (4) , 1-1 . |
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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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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. IEEE
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, S. , Wu, Q. , Zhang, M. et al. Coordinated Energy Pricing for Multi-Energy Networks Considering Hybrid Hydrogen-Electric Vehicle Mobility [J]. | IEEE Transactions on Power Systems , 2024 : 1-13 . |
| MLA | Xie, S. et al. "Coordinated Energy Pricing for Multi-Energy Networks Considering Hybrid Hydrogen-Electric Vehicle Mobility" . | IEEE Transactions on Power Systems (2024) : 1-13 . |
| APA | Xie, S. , Wu, Q. , Zhang, M. , Guo, Y. . Coordinated Energy Pricing for Multi-Energy Networks Considering Hybrid Hydrogen-Electric Vehicle Mobility . | IEEE Transactions on Power Systems , 2024 , 1-13 . |
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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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This article proposes a novel segmented distributionally robust optimization method for real-time power dispatch with correlated wind forecast errors. In the proposed dispatch model, a segmented linear decision rule incorporating an allowed threshold for wind forecast error is developed. The excess wind fluctuation beyond the optimized threshold will be first discarded, and then units adopts the segmented linear decision for the remaining wind forecast error. The segmented linear decision rule upgrades the traditional parameterized ambiguous set into a variable-involved segmented ambiguous set, which makes the dispatch more flexible but meanwhile harder to solve. Through the equivalent conversion of uncertain variables and dual theory of semi-infinite problems, the proposed dispatch model is recast as a semi definite programming with nonconvex bilinear constraints. To solve the complex problem, a difference-of-convex optimization (DCO) addressing bilinear constraints with alternating optimization (AO)-based initialization is developed. AO with fast computing speed accelerates the convergence by producing a good enough initial feasible solution, while DCO with stronger search ability enhances the solution quality in the subsequent optimization. Finally, numerical simulations in three cases validate the economic efficiency of the proposed model and the superiority of the convexified solving method.
Keyword ：
difference-of-convex optimization difference-of-convex optimization Distributionally robust optimization Distributionally robust optimization real-time power dispatch real-time power dispatch segmented linear decision rule segmented linear decision rule wind uncertainty wind uncertainty
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| GB/T 7714 | Qu, Kaiping , Chen, Yuwei , Xie, Shiwei et al. Segmented Distributionally Robust Optimization for Real-Time Power Dispatch With Wind Uncertainty [J]. | IEEE TRANSACTIONS ON POWER SYSTEMS , 2024 , 39 (2) : 2970-2983 . |
| MLA | Qu, Kaiping et al. "Segmented Distributionally Robust Optimization for Real-Time Power Dispatch With Wind Uncertainty" . | IEEE TRANSACTIONS ON POWER SYSTEMS 39 . 2 (2024) : 2970-2983 . |
| APA | Qu, Kaiping , Chen, Yuwei , Xie, Shiwei , Zheng, Xiaodong , Zhu, Jizhong . Segmented Distributionally Robust Optimization for Real-Time Power Dispatch With Wind Uncertainty . | IEEE TRANSACTIONS ON POWER SYSTEMS , 2024 , 39 (2) , 2970-2983 . |
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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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