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学者姓名：谢仕炜
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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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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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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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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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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 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. IEEE
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, Y. , Zheng, Y. , Hu, S. 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) : 1-12 . |
| MLA | Chen, Y. 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) : 1-12 . |
| APA | Chen, Y. , Zheng, Y. , Hu, S. , Xie, S. , Yang, Q. . 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) , 1-12 . |
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For the low carbon economic operation problem of power system，a collaborative optimization method for the configuration-operation of coal-fired power plants with carbon capture considering low-carbon demand response is proposed. The operation data of solvent-based carbon capture coal-fired power plants is collected on the gCCS platform，taking into account the strong coupling relationship between the power generation system and the post-combustion carbon capture system. The model parameters are identified by multiple linear regression method，and the corresponding steady-state mathematical model is constructed. The carbon emission flow theory is used to calculate the carbon emission cost on the load side，and the carbon quota is allocated according to the carbon emission intensity of generator units. And then a low-carbon demand response model is established. On this basis，the upper-level optimization model takes the lowest power plant configuration cost as the objective function to meet the capacity optimization allocation constraints. The lower-level optimization model with the goal of minimizing operating cost is established to meet the system operation constraints. The simulation analysis is implemented on the modified IEEE 24-bus system，by which the effectiveness of the proposed strategy is verified. © 2024 Electric Power Automation Equipment Press. All rights reserved.
Keyword ：
Carbon capture Carbon capture Coal Coal Coal combustion Coal combustion Coal fired power plant Coal fired power plant Coal fueled furnaces Coal fueled furnaces Electric loads Electric loads Fossil fuel power plants Fossil fuel power plants Linear regression Linear regression
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| GB/T 7714 | Le, Shengtong , Zhang, Yachao , Zhu, Shu et al. Collaborative optimization of configuration-operation for coal-fired power plants with carbon capture considering low-carbon demand response [J]. | Electric Power Automation Equipment , 2024 , 44 (7) : 278-286 . |
| MLA | Le, Shengtong et al. "Collaborative optimization of configuration-operation for coal-fired power plants with carbon capture considering low-carbon demand response" . | Electric Power Automation Equipment 44 . 7 (2024) : 278-286 . |
| APA | Le, Shengtong , Zhang, Yachao , Zhu, Shu , Xie, Shiwei . Collaborative optimization of configuration-operation for coal-fired power plants with carbon capture considering low-carbon demand response . | Electric Power Automation Equipment , 2024 , 44 (7) , 278-286 . |
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This paper proposes a new method for service res-toration of distribution network with the support of transport-able 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 fault-ed 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 op-timal routings of TPSs and RCs.To efficiently solve the pro-posed 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 al-gorithm is used for an efficient solution.The effectiveness of the proposed methods and algorithms has been illustrated in a mod-ified IEEE 33-bus system.
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| GB/T 7714 | Zhao Shi , Yan Xu , Dunjian Xie et al. Optimal Coordination of Transportable Power Sources and Repair Crews for Service Restoration of Distribution Networks Considering Uncertainty of Traffic Congestion [J]. | 现代电力系统与清洁能源学报（英文版） , 2024 , 12 (1) : 189-201 . |
| MLA | Zhao Shi et al. "Optimal Coordination of Transportable Power Sources and Repair Crews for Service Restoration of Distribution Networks Considering Uncertainty of Traffic Congestion" . | 现代电力系统与清洁能源学报（英文版） 12 . 1 (2024) : 189-201 . |
| APA | Zhao Shi , Yan Xu , Dunjian Xie , Shiwei Xie , Amer M.Y.M.Ghias . Optimal Coordination of Transportable Power Sources and Repair Crews for Service Restoration of Distribution Networks Considering Uncertainty of Traffic Congestion . | 现代电力系统与清洁能源学报（英文版） , 2024 , 12 (1) , 189-201 . |
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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 on-site 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. © 2024 Elsevier Ltd
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, Y. , Zheng, Y. , Hu, S. 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, Y. 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, Y. , Zheng, Y. , Hu, S. , Xie, S. , Yang, Q. . 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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Aiming at the multi-microgrid distribution system with flexible resource, a pricing strategy for multi-microgrid distribution system based on dynamic non-cooperative game is proposed, which guides the user side to adjust the electricity consumption mode for realizing the system economic operation. A bi-layer fixed point algorithm is proposed. In the inner layer, the convex optimization models of microgrid and distribution network are respectively built, and the alternating direction multiplier method is adopted to distributionally solve the model, further the optimal pricing strategy of power grid is determined. In the outer layer, the user response model of flexible resource is built, and the users adjust the original demand according to the pricing strategy of inner layer. The fixed point theorem is introduced to explain the game problem, and prove the existence, uniqueness and convergence of its equilibrium solution. The example simulative results verify the applicability and effectiveness of the proposed strategy. © 2024 Electric Power Automation Equipment Press. All rights reserved.
Keyword ：
distributed optimization distributed optimization fixed point theorem fixed point theorem flexible resource flexible resource multi-microgrid multi-microgrid pricing strategy pricing strategy
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| GB/T 7714 | Chen, C. , Xie, S. , Zhang, Y. et al. Pricing strategy of distributed multi-microgrid distribution system considering flexible resource; [计及灵活性资源的分布式多微网配电系统定价策略] [J]. | Electric Power Automation Equipment , 2024 , 44 (8) : 116-123 . |
| MLA | Chen, C. et al. "Pricing strategy of distributed multi-microgrid distribution system considering flexible resource; [计及灵活性资源的分布式多微网配电系统定价策略]" . | Electric Power Automation Equipment 44 . 8 (2024) : 116-123 . |
| APA | Chen, C. , Xie, S. , Zhang, Y. , Wu, Q. . Pricing strategy of distributed multi-microgrid distribution system considering flexible resource; [计及灵活性资源的分布式多微网配电系统定价策略] . | Electric Power Automation Equipment , 2024 , 44 (8) , 116-123 . |
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