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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 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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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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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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Incorporating outstanding flame retardancy and electromagnetic interference shielding effectiveness (EMI SE) into polymers is a pressing requirement for practical utilization. In this study, we first employed the principles of microencapsulation and electrostatic interaction-driven self-assembly to encapsulate polyethyleneimine (PEI) molecules and Ti3C2Tx nanosheets on the surface of ammonium polyphosphate (APP), forming a double-layer-encapsulated structure of ammonium polyphosphate (APP@PEI@Ti3C2Tx). Subsequently, flame-retardant thermoplastic polyurethane (TPU) composites were fabricated by melting the flame-retardant agent with TPU. Afterwards, by using air-assisted thermocompression technology, we combined a reduced graphene oxide (rGO) film with flame-retardant TPU composites to fabricate hierarchical TPU/APP@PEI@Ti3C2Tx/rGO composites. We systematically studied the combustion behavior, flame retardancy, and smoke-suppression performance of these composite materials, as well as the flame-retardant mechanism of the expansion system. The results indicated a significant improvement in the interface interaction between APP@PEI@Ti3C2Tx and the TPU matrix. Compared to pure TPU, the TPU/10APP@PEI@1TC composite exhibited reductions of 84.1%, 43.2%, 62.4%, and 85.2% in peak heat release rate, total heat release, total smoke release, and total carbon dioxide yield, respectively. The averaged EMI SE of hierarchical TPU/5APP@PEI@1TC/rGO also reached 15.53 dB in the X-band.
Keyword ：
electromagnetic shielding electromagnetic shielding flame retardancy flame retardancy self-assembly self-assembly thermoplastic polyurethane thermoplastic polyurethane
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| GB/T 7714 | Liu, Yan , Yao, Ansheng , Fu, Libi et al. Construction of Fire Safe Thermoplastic Polyurethane/Reduced Graphene Oxide Hierarchical Composites with Electromagnetic Interference Shielding [J]. | MOLECULES , 2024 , 29 (13) . |
| MLA | Liu, Yan et al. "Construction of Fire Safe Thermoplastic Polyurethane/Reduced Graphene Oxide Hierarchical Composites with Electromagnetic Interference Shielding" . | MOLECULES 29 . 13 (2024) . |
| APA | Liu, Yan , Yao, Ansheng , Fu, Libi , Xie, Shiwei , Zhang, Yijie , Xu, Peihui et al. Construction of Fire Safe Thermoplastic Polyurethane/Reduced Graphene Oxide Hierarchical Composites with Electromagnetic Interference Shielding . | MOLECULES , 2024 , 29 (13) . |
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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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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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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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Abstract ：
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.
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, Yuanyi , Zheng, Yanchong , Hu, Simon 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) : 13384-13395 . |
| MLA | Chen, Yuanyi 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) : 13384-13395 . |
| APA | Chen, Yuanyi , Zheng, Yanchong , Hu, Simon , Xie, Shiwei , Yang, Qiang . 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) , 13384-13395 . |
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Abstract ：
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.
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, Yuanyi , Hu, Simon , Xie, Shiwei 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) : 3950-3965 . |
| MLA | Chen, Yuanyi 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) : 3950-3965 . |
| APA | Chen, Yuanyi , Hu, Simon , Xie, Shiwei , Zheng, Yanchong , Hu, Qinru , Yang, Qiang . Optimal Dynamic Pricing of Fast Charging Stations Considering Bounded Rationality of Users and Market Regulation . | IEEE TRANSACTIONS ON SMART GRID , 2024 , 15 (4) , 3950-3965 . |
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