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学者姓名：张亚超
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Abstract ：
近年来,台风暴雨成为影响沿海城市配电网安全稳定运行的典型自然灾害.为有效应对该极端灾害的影响,提出一种考虑台风暴雨灾害时空不确定性的配电网多阶段韧性提升策略.首先,根据台风历史数据模拟其灾害场景,计算相应场景下的配电线路故障概率,从而构建考虑台风暴雨灾害攻击的不确定集.在此基础上,结合电力系统调度过程的非预期性特点,建立基于上述不确定集的多阶段鲁棒优化模型.其次,提出一种预拓展鲁棒对偶动态规划算法对其进行求解,获取灾前防御策略和训练好的灾中最恶劣情况未来成本函数,据此求解极端灾害发生过程中各时段的紧急响应策略,从而在离线训练和在线应用有机结合的框架下制定最优的配网韧性提升策略.最后,以不同规模的配网为测试系统,验证了所提模型和方法的有效性.
Keyword ：
台风暴雨灾害时空不确定性 台风暴雨灾害时空不确定性 多阶段鲁棒优化 多阶段鲁棒优化 非预期性 非预期性 韧性提升 韧性提升 预拓展鲁棒对偶动态规划 预拓展鲁棒对偶动态规划
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| GB/T 7714 | 丁志龙 , 张亚超 . 考虑灾害不确定性和调度过程非预期性的配电网多阶段韧性提升策略 [J]. | 电网技术 , 2025 , 49 (1) : 146-156,中插57-中插59 . |
| MLA | 丁志龙 等. "考虑灾害不确定性和调度过程非预期性的配电网多阶段韧性提升策略" . | 电网技术 49 . 1 (2025) : 146-156,中插57-中插59 . |
| APA | 丁志龙 , 张亚超 . 考虑灾害不确定性和调度过程非预期性的配电网多阶段韧性提升策略 . | 电网技术 , 2025 , 49 (1) , 146-156,中插57-中插59 . |
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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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In recent years, typhoons and rainstorms have increasingly become the typical natural disasters that affect the safe and stable operation of distribution networks in coastal cities. To effectively cope with the influence of extreme disasters, a multi-stage resilience enhancement strategy is proposed for distribution networks, considering the spatiotemporal uncertainty of typhoon rainstorm disasters. Firstly, the disaster scenarios are simulated according to the historical data of typhoons, and the failure probability of distribution lines is calculated to construct an uncertainty set for the typhoon rainstorm disaster attack. On this basis, combined with the non-anticipativity characteristics of the power system scheduling process, a multi-stage robust optimization model based on the uncertainty set above is established. Secondly, a pre-extended robust dual dynamic programming algorithm is developed for solving. Then, the pre-disaster defense strategies and well-trained worst-case cost-to-go functions during disasters are obtained, which can solve the emergency response strategies for each period of extreme disasters. As a result, the optimal resilience enhancement strategies for distribution networks have been made in an organic combination of offline training and online application. Finally, the test systems for distribution networks with different scales are used to verify the effectiveness of the proposed model and method. © 2025 Power System Technology Press. All rights reserved.
Keyword ：
Disasters Disasters Dynamic programming Dynamic programming Multitasking Multitasking Power distribution networks Power distribution networks Risk assessment Risk assessment Risk management Risk management
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| GB/T 7714 | Ding, Zhilong , Zhang, Yachao . A Multi-stage Resilience Enhancement Strategy for Distribution Networks Considering Disaster Uncertainties and Scheduling Non-anticipativity [J]. | Power System Technology , 2025 , 49 (1) : 146-156 . |
| MLA | Ding, Zhilong et al. "A Multi-stage Resilience Enhancement Strategy for Distribution Networks Considering Disaster Uncertainties and Scheduling Non-anticipativity" . | Power System Technology 49 . 1 (2025) : 146-156 . |
| APA | Ding, Zhilong , Zhang, Yachao . A Multi-stage Resilience Enhancement Strategy for Distribution Networks Considering Disaster Uncertainties and Scheduling Non-anticipativity . | Power System Technology , 2025 , 49 (1) , 146-156 . |
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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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The large-scale integration of electric vehicles and distributed power sources will further exacerbate the peak valley load difference in power systems, which has posed a serious challenge to the stability and economic operation of the hybrid AC/DC distribution network. A hierarchical decentralized coordinated scheduling framework for the hybrid AC/DC distribution network coupled with the photovoltaic-storage-charging integrated stations considering multiple uncertainties is firstly proposed. In this framework, a multi-objective optimization model with the pursuit of the minimum day-ahead operation cost and peak valley difference of net load is presented for the distribution network, which is solved by the normalized normal constraint method. On the other hand, a two-stage robust optimization model considering a virtual battery model and source-load uncertainty set is established for the integrated station, which is solved by the column-and-constraint generation algorithm. Furthermore, an improved alternating direction method of multipliers is developed to solve the above decentralized optimization problem. Finally, the proposed model and solving method are validated via a modified 33-bus hybrid AC/DC distribution network coupled with 3 integrated stations. Simulation results demonstrate that the multi-objective scheduling strategy can achieve prominent effects of peak shaving and valley filling compared with the single-objective strategy. Specifically, the peak valley difference of net load has reduced by 70.1 %. Moreover, the coordination operation of various controllable devices can improve the operation flexibility of power systems and alleviate the influence of the multiple uncertainties. In addition, the solving time of the proposed method has shortened by 39.9 % compared with the traditional algorithm.
Keyword ：
Decentralized scheduling framework Decentralized scheduling framework Hybrid AC/DC distribution network Hybrid AC/DC distribution network Multi-objective optimization Multi-objective optimization Photovoltaic storage charging integrated station Photovoltaic storage charging integrated station Robust optimization Robust optimization
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| GB/T 7714 | Zhang, Yachao , Liu, Yan . A decentralized optimization scheduling architecture for the hybrid AC/DC distribution network coupled with photovoltaic-storage-charging integrated stations [J]. | JOURNAL OF ENERGY STORAGE , 2025 , 121 . |
| MLA | Zhang, Yachao et al. "A decentralized optimization scheduling architecture for the hybrid AC/DC distribution network coupled with photovoltaic-storage-charging integrated stations" . | JOURNAL OF ENERGY STORAGE 121 (2025) . |
| APA | Zhang, Yachao , Liu, Yan . A decentralized optimization scheduling architecture for the hybrid AC/DC distribution network coupled with photovoltaic-storage-charging integrated stations . | JOURNAL OF ENERGY STORAGE , 2025 , 121 . |
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弹性能反映电力系统应对极端灾害的抵御能力和恢复能力。输电系统作为电力系统中的重要组成部分，在小概率-高损失的山火灾害事件中，往往会发生大面积停电事故。文中提出一种考虑山火灾害全过程的输电系统弹性评估框架。首先定量分析极端山火灾害对输电线路故障率的影响，建立火点位置与线路故障率之间的数学关系，并利用系统信息熵获取典型故障场景以描述山火灾害可能导致的故障规模；其次，结合故障元件的地理位置、检修人员调度资源和修复时间等因素，构建以最小化山火灾害下负荷削减量为目标的输电系统恢复模型，提出考虑灾害全过程的输电系统弹性评估方法；最后，以IEEE RTS-79节点输电系统为例，验证了所提模型和弹性评估方法的有效性。算例结果表明，该评估方法可有效、全面地衡量各因素对输电系统弹性提升性能的影响。此外，定量分析了3种典型弹性提升技术措施的效果，为电力部门应对极端山火灾害制定防御及恢复策略提供了可量化的参考依据。
Keyword ：
弹性指标 弹性指标 弹性评估 弹性评估 故障恢复 故障恢复 极端山火灾害 极端山火灾害 系统信息熵 系统信息熵 输电网弹性 输电网弹性
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| GB/T 7714 | 方超颖 , 许军 , 丁志龙 et al. 山火灾害下输电系统的弹性评估方法及其提升措施 [J]. | 电力工程技术 , 2024 , 43 (2) : 239-247 . |
| MLA | 方超颖 et al. "山火灾害下输电系统的弹性评估方法及其提升措施" . | 电力工程技术 43 . 2 (2024) : 239-247 . |
| APA | 方超颖 , 许军 , 丁志龙 , 程韵初 , 郑钟楠 , 张亚超 . 山火灾害下输电系统的弹性评估方法及其提升措施 . | 电力工程技术 , 2024 , 43 (2) , 239-247 . |
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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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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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The wide application of communication equipment appears to increase the risk of cross-domain attacks on distribution networks' cyber-physical systems (CPSs). Against this background, the resilience enhancement strategy for CPS of distribution networks considering coordinated cyber-physical attacks is proposed. First, to analyze the fault propagation mechanism of CPSs under cyber-physical interactions, a virtual fault propagation network is built to identify the distribution network's fault and non-fault areas. Also, a virtual information flow network is proposed to represent the communication network and identify the working state of cyber nodes. This proposal uses a cyber-physical coupling constraint to describe the fault propagation process between the distribution and communication networks. Then, a robust optimization model under a tri-level framework of defense-attack-defense is established, in which the first-level defender develops the cooperative schemes for the remote-controlled switch deployment in distribution networks and the hardening of communication networks. The attacker seeks the most serious coordinated attack mode in the second level. Based upon the estimation of fault propagation impacts, the defender in the third level utilizes the remote-controlled switch action to reconfigure the distribution network into multiple microgrids and thus restore the power supply. The nested column constraint generation algorithm is used to solve the above model. Finally, the effectiveness of the proposed model and method is verified through case studies. © 2024 Power System Technology Press. All rights reserved.
Keyword ：
communication network hardening communication network hardening coordinated cyber-physical attacks coordinated cyber-physical attacks remote-controlled switch placement remote-controlled switch placement resilience enhancement resilience enhancement robust optimization robust optimization
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| GB/T 7714 | Ding, Z. , Zhang, Y. , Xie, S. . Coordinated Defense Strategy for Cyber-physical System of Distribution Networks Considering Fault Cross-domain Propagation and Network Coupling; [考虑故障跨域传播的配电网 协同防御策略] [J]. | Power System Technology , 2024 , 48 (12) : 5129-5137 . |
| MLA | Ding, Z. et al. "Coordinated Defense Strategy for Cyber-physical System of Distribution Networks Considering Fault Cross-domain Propagation and Network Coupling; [考虑故障跨域传播的配电网 协同防御策略]" . | Power System Technology 48 . 12 (2024) : 5129-5137 . |
| APA | Ding, Z. , Zhang, Y. , Xie, S. . Coordinated Defense Strategy for Cyber-physical System of Distribution Networks Considering Fault Cross-domain Propagation and Network Coupling; [考虑故障跨域传播的配电网 协同防御策略] . | Power System Technology , 2024 , 48 (12) , 5129-5137 . |
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