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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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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 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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Abstract ：
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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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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A virtual power plant (VPP) has the ability to aggregate numerous decentralized distributed energy resources using advanced control technology, offering a promising approach for low-carbon development. In order to enhance the VPP's contribution to reducing carbon emissions, a bi-level framework is proposed that incorporates an integrated energy-carbon price response mechanism. This model allows VPPs to participate in a multi-energy system through a multi-agent Stackelberg game framework. Initially, a transaction model is established where the power distribution system operator and the gas distribution system operator act as leaders, while the virtual power plant operator acts as a follower in the multi-energy system. Subsequently, an integrated energy-carbon pricing method, rooted in carbon emission flow theory, is introduced to encourage VPPs to proactively adjust their energy-use and trading strategies within multi-energy systems, thereby promoting multi-principal interactive trading. To achieve a distributed solution among multiple entities while maintaining the privacy of each entity's information, the adaptive step-size alternating direction multiplier method is employed. The feasibility and effectiveness of the proposed model and method are then demonstrated through case studies.
Keyword ：
carbon emission flow carbon emission flow energy-carbon integrated price energy-carbon integrated price multi-agent Stackelberg game multi-agent Stackelberg game multiple energy systems multiple energy systems virtual power plant virtual power plant
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| GB/T 7714 | Yan, Yanyu , Xie, Shiwei , Tang, Jianlin et al. Transaction strategy of virtual power plants and multi-energy systems with multi-agent Stackelberg game based on integrated energy-carbon pricing [J]. | FRONTIERS IN ENERGY RESEARCH , 2024 , 12 . |
| MLA | Yan, Yanyu et al. "Transaction strategy of virtual power plants and multi-energy systems with multi-agent Stackelberg game based on integrated energy-carbon pricing" . | FRONTIERS IN ENERGY RESEARCH 12 (2024) . |
| APA | Yan, Yanyu , Xie, Shiwei , Tang, Jianlin , Qian, Bin , Lin, Xiaoming , Zhang, Fan . Transaction strategy of virtual power plants and multi-energy systems with multi-agent Stackelberg game based on integrated energy-carbon pricing . | FRONTIERS IN ENERGY RESEARCH , 2024 , 12 . |
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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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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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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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