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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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The proliferation of microgrids and the rapid electrification of transportation have intensified competition for distribution-level resources, highlighting the need for effective coordination strategies for energy sharing and electric vehicle (EV) charging. This study aims to tackle the complexities of optimizing EV charging within an energy-sharing market, where multiple microgrids engage in electricity trading and compete for flexible demand. We develop a robust game-theoretic framework that incorporates two critical components: a generalized Nash equilibrium game model and a nested Stackelberg game. The Nash equilibrium model captures the interdependent bidding behaviors of microgrids, while the Stackelberg game treats EV users as price-sensitive followers, who adjust their charging strategies based on station-specific tariffs and travel costs. The two models are integrated into a bilevel generalized Nash-Stackelberg formulation that holistically represents the strategic interactions among all stakeholders. To solve this coupled equilibrium, we utilize a fixed-point scheme embedded in a modified best-response algorithm, ensuring convergence to the joint solution of the inner Nash game and the outer Stackelberg game. Numerical experiments demonstrate that the proposed strategy effectively guides EV users toward economically rational charging patterns, balances utilization across charging stations, and enhances overall network efficiency and microgrid profitability compared to conventional decentralized scheduling methods. These results underline the practical value of the framework for integrated management of transportation and power infrastructures.
Keyword ：
electric vehicles electric vehicles energy sharing energy sharing game equilibrium game equilibrium multiple microgrid multiple microgrid spatial demand elasticity spatial demand elasticity
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| GB/T 7714 | Zheng, Jieyun , Wei, Xin , Xie, Shiwei et al. Energy Sharing and Coordination Strategies in Multimicrogrid and Electric Vehicle Integration: A Bilevel Game-Theoretic Approach [J]. | INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS , 2025 , 2025 (1) . |
| MLA | Zheng, Jieyun et al. "Energy Sharing and Coordination Strategies in Multimicrogrid and Electric Vehicle Integration: A Bilevel Game-Theoretic Approach" . | INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 2025 . 1 (2025) . |
| APA | Zheng, Jieyun , Wei, Xin , Xie, Shiwei , Zhang, Zhanghuang , Xue, Jingwei , Chen, Ruochen . Energy Sharing and Coordination Strategies in Multimicrogrid and Electric Vehicle Integration: A Bilevel Game-Theoretic Approach . | INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS , 2025 , 2025 (1) . |
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Producing hydrogen through water electrolysis using renewable energy is a key technology to achieve energy transformation and electricity decarbonization. However, power fluctuation and frequent start-stop are major factors causing the operating life decay of alkaline electrolyzer. Therefore, based on the analysis of the operation characteristics of the electrolyzer monomer, an optimal scheduling model of the electricity-hydrogen-heat integrated energy system considering the combined operation of multi-electrolyzers under multiple operating conditions is proposed. A two-stage robust scheduling model is established to deal with the working mode switching of the electrolyzer and energy storage system during the real-time scheduling stage caused by wind power uncertainty, which is solved by the nested column and constraint generation algorithm. The simulation experiments are carried out under four different scenarios, and the results show that considering the flexible combination of multi-electrolyzers and the rapid switching of operating conditions during the real-time scheduling stage can improve the operational economy of the system and effectively alleviate the degradation of operating life caused by the power fluctuation of the electrolyzer. © 2025 Power System Technology Press. All rights reserved.
Keyword ：
Constrained optimization Constrained optimization Hydrogen storage Hydrogen storage Linear programming Linear programming Scheduling algorithms Scheduling algorithms Wind power Wind power
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| GB/T 7714 | Chen, Zhaoxu , Zhang, Yachao , Zhu, Shu et al. Optimal Scheduling of Electricity-hydrogen-heat Integrated Energy System Considering Combined Operation of Multi-electrolyzers Under Multiple Conditions [J]. | Power System Technology , 2025 , 49 (2) : 542-551 . |
| MLA | Chen, Zhaoxu et al. "Optimal Scheduling of Electricity-hydrogen-heat Integrated Energy System Considering Combined Operation of Multi-electrolyzers Under Multiple Conditions" . | Power System Technology 49 . 2 (2025) : 542-551 . |
| APA | Chen, Zhaoxu , Zhang, Yachao , Zhu, Shu , Xie, Shiwei . Optimal Scheduling of Electricity-hydrogen-heat Integrated Energy System Considering Combined Operation of Multi-electrolyzers Under Multiple Conditions . | Power System Technology , 2025 , 49 (2) , 542-551 . |
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With the rapid increase in electric vehicle (EV) adoption, there is an escalating need for coordinated planning between power and transportation systems to address the additional stress on urban infrastructure. This study tackles the critical challenge of aligning investment and planning between these systems, specifically considering the impact of EV charging behaviors. To address this issue, we propose a novel tri-level optimization framework that incorporates a quasi-variational inequality (QVI) model to effectively capture the interactions between user equilibrium (UE) in transportation networks and elastic EV charging demand. The upper level of the model optimizes investments in power systems, including distributed generation and charging infrastructure. The middle level concentrates on expanding road capacity, while the lower level resolves the traffic flow patterns under user equilibrium with elastic charging behaviors (UE-ECB) using the QVI approach. By transforming the tri-level model into a bi-level optimization program with quasi-variational inequality (OP-QVI) formulation, we achieve computational tractability and provide efficient solutions. Results show that the elastic charging demand model outperforms the non-elastic assumption, reducing total costs by 22.2 %, with power system investments down by 19.1 % and transportation system investments down by 39.8 %. These findings demonstrate the model's superior accuracy, avoiding the overestimation of infrastructure needs. Furthermore, the proposed algorithm efficiently solves complex integrated planning problems, ensuring both computational effectiveness and economic viability in system-wide optimization.
Keyword ：
Elastic charging behaviors Elastic charging behaviors Electric vehicle Electric vehicle Power and transportation systems Power and transportation systems Tri-level optimization framework Tri-level optimization framework User equilibrium User equilibrium
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| GB/T 7714 | Zheng, Jieyun , Wei, Xin , Zhang, Zhanghuang et al. A tri-level planning strategy for integrated power and transport systems incorporating EV elastic charging behaviors [J]. | APPLIED ENERGY , 2025 , 396 . |
| MLA | Zheng, Jieyun et al. "A tri-level planning strategy for integrated power and transport systems incorporating EV elastic charging behaviors" . | APPLIED ENERGY 396 (2025) . |
| APA | Zheng, Jieyun , Wei, Xin , Zhang, Zhanghuang , Xue, Jingwei , Chen, Ruochen , Xie, Shiwei . A tri-level planning strategy for integrated power and transport systems incorporating EV elastic charging behaviors . | APPLIED ENERGY , 2025 , 396 . |
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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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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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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 (7) : 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 . 7 (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 (7) , 201-209 . |
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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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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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