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学者姓名：谢仕炜
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Abstract ：
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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针对含灵活性资源的多微网配电系统，提出一种基于动态非合作博弈的多微网配电系统定价策略，以引导用户侧调整用电方式实现系统经济运行。提出一种双层不动点映射算法：在内层，分别建立微网和配电网的凸优化模型，采用交替方向乘子法对模型进行分布式求解，进而确定电网最优定价策略；在外层，建立灵活性资源用户响应模型，用户根据内层的定价策略调整原有需求量。引入不动点定理解释该博弈问题，并证明其均衡解的存在性、唯一性和收敛性。算例仿真结果验证了所提策略的适用性与有效性。
Keyword ：
不动点定理 不动点定理 分布式优化 分布式优化 多微网 多微网 定价策略 定价策略 灵活性资源 灵活性资源
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| GB/T 7714 | 陈灿鸿 , 谢仕炜 , 张亚超 et al. 计及灵活性资源的分布式多微网配电系统定价策略 [J]. | 电力自动化设备 , 2024 , 44 (08) : 116-123 . |
| MLA | 陈灿鸿 et al. "计及灵活性资源的分布式多微网配电系统定价策略" . | 电力自动化设备 44 . 08 (2024) : 116-123 . |
| APA | 陈灿鸿 , 谢仕炜 , 张亚超 , 吴秋伟 . 计及灵活性资源的分布式多微网配电系统定价策略 . | 电力自动化设备 , 2024 , 44 (08) , 116-123 . |
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针对电力系统的低碳经济运行问题，提出一种考虑低碳需求响应的碳捕集燃煤电厂配置-运行协同优化方法。考虑燃煤电厂发电系统和燃烧后碳捕集系统存在强耦合关系，在gCCS平台采集溶剂型碳捕集燃煤电厂的运行数据，采用多元线性回归方法进行模型参数识别，构建其稳态数学模型。应用碳排放流理论计算负荷侧碳排放成本，并根据机组碳排放强度进行碳配额分配，构建低碳需求响应模型。基于此，上层优化模型以电厂配置成本最低为目标函数，满足容量优化配置约束。下层优化模型以运行成本最小为目标函数，满足系统运行约束。采用改进IEEE 24节点系统作为算例进行仿真分析，验证了所提策略的有效性。
Keyword ：
优化配置 优化配置 低碳需求响应 低碳需求响应 双层优化 双层优化 碳捕集 碳捕集 碳排放流 碳排放流
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| GB/T 7714 | 乐生铜 , 张亚超 , 朱蜀 et al. 考虑低碳需求响应的碳捕集燃煤电厂配置-运行协同优化 [J]. | 电力自动化设备 , 2024 , 44 (07) : 278-286 . |
| MLA | 乐生铜 et al. "考虑低碳需求响应的碳捕集燃煤电厂配置-运行协同优化" . | 电力自动化设备 44 . 07 (2024) : 278-286 . |
| APA | 乐生铜 , 张亚超 , 朱蜀 , 谢仕炜 . 考虑低碳需求响应的碳捕集燃煤电厂配置-运行协同优化 . | 电力自动化设备 , 2024 , 44 (07) , 278-286 . |
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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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A virtual power plant (VPP) can effectively integrate massive and scattered distributed energy resources through advanced control technology, effectively achieving low-carbon development. To promote the positive role of VPP in carbon emission reduction. This paper proposed a multi-agent collaborative optimization framework for the VPP alliance and distribution network. Firstly, based on the carbon emission flow theory, a comprehensive electricity-carbon pricing method was developed to incentivize the low-carbon operation of VPP. Secondly, considering that multiple VPPs used the form of cooperative alliance to share transactions, this paper constructed a multi-VPP electricity carbon peer-to-peer (P2P) trading mechanism model based on Nash bargaining theory, which realized multi-VPP resource sharing and considered individual interests and alliance benefits. This paper constructed a bi-level model of VPP alliance-distribution network collaborative optimization based on the comprehensive price of electricity and carbon to guide the P2P transaction between VPPs. The upper-level model was the optimal transaction of electricity and carbon P2P between multiple VPPs. The adaptive step size alternating direction method of multipliers was used to realize the distributed solution between multiple VPPs. The lower-level model was the optimal economic dispatch problem of the distribution network. Finally, an example was given to verify the effectiveness of the proposed model and method. © 2024 Power System Technology Press. All rights reserved.
Keyword ：
bi-level optimization bi-level optimization carbon emission flow carbon emission flow electricity-carbon integrated price electricity-carbon integrated price Nash bargaining theory Nash bargaining theory peer-to-peer transactions peer-to-peer transactions virtual power plant virtual power plant
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| GB/T 7714 | Zhong, R. , Zhang, Y. , Zhu, S. et al. Research on Collaborative Low-carbon Operation Strategy of Electricity Carbon Peer-to-peer Trading Based Virtual Power Plant Union and Power Distribution Network; [基于电 碳点对点交易的虚拟电厂联盟与配电网协同低碳运行策略研究] [J]. | Power System Technology , 2024 , 48 (9) : 3554-3563 . |
| MLA | Zhong, R. et al. "Research on Collaborative Low-carbon Operation Strategy of Electricity Carbon Peer-to-peer Trading Based Virtual Power Plant Union and Power Distribution Network; [基于电 碳点对点交易的虚拟电厂联盟与配电网协同低碳运行策略研究]" . | Power System Technology 48 . 9 (2024) : 3554-3563 . |
| APA | Zhong, R. , Zhang, Y. , Zhu, S. , Xie, S. . Research on Collaborative Low-carbon Operation Strategy of Electricity Carbon Peer-to-peer Trading Based Virtual Power Plant Union and Power Distribution Network; [基于电 碳点对点交易的虚拟电厂联盟与配电网协同低碳运行策略研究] . | Power System Technology , 2024 , 48 (9) , 3554-3563 . |
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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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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 , 39 (6) : 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 39 . 6 (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 , 39 (6) , 1-13 . |
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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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