石庆鑫,博士,副教授,硕士生导师,IEEE Member。2011年于浙江大学获得本科学位,2014年于加拿大阿尔伯塔大学(University of Alberta)获得硕士学位,2019年于美国田纳西大学(University of Tennessee, Knoxville)获得博士学位。2019年8月-2020年12月于田纳西大学担任助理研究员(Research assistant professor),2021年3月起加入华北电力大学电气与电子工程学院,2024年4月被聘为副教授。
主要从事韧性城市电网的运行与规划、需求侧响应参与系统辅助性服务、电能质量等方面的研究工作。近年来以第一或通讯作者发表SCI/EI期刊论文共计30余篇,其中ESI 1%高被引文章1篇;担任SCI期刊Journal of Protection and Control of Modern Power System、IEEE Open Access Journal of Power and Energy System助理编辑;担任IEEE Transactions on Power Systems,IEEE Transactions on Smart Grid,IEEE Transactions on Sustainable Energy,Applied Energy等多个国内外顶级学术期刊审稿人。
联系方式:
办公地址:主楼A831
电子邮箱:qshi@ncepu.edu.cn
一、教学与人才培养
1. 教学课程
1) 电力系统分析(1),2023年起,64学时,本科
2) 智能电网综合监控技术,2024年起,32学时,本科
2. 学生获得荣誉
1) 王卓容,校级优秀硕士论文/优秀毕业生,2024
二、主要科研项目
1. 国家自然科学基金青年项目“社会安全视角下统筹荷侧灵活性资源的城市电网韧性提升方法”,2024-2026,主持。
2. GF创新特区重点项目子课题,XXXXX关键技术,2022-2025,课题负责人。
3. 国家自然科学基金-联合基金项目“数据-知识融合驱动的低惯量电网频率稳定智能分析与控制理论及方法”,2023-2026,子任务负责人。
4. 国家重点研发计划课题四“港-船多能源融合系统与港区负荷的匹配与优化控制技术研究”,2022-2024,子任务负责人。
5. 中央高校基本科研业务费“提升配电网韧性的移动式资源综合调度方法”,2021-2022,主持。
三、主要获奖
1. 中国电机工程学会优秀论文奖(三等奖),2019
2. IEEE Transactions on Power Systems 期刊优秀审稿人,2022、2023
3. Journal of Modern Power Systems and Clean Energy (MPCE) 优秀审稿人,2020
四、代表性论文(15篇)
[1] Q. Shi, Y. Yan, W. Liu, et al.,“Resilience assessment of urban power network considering multi-stage electrical-water fault propagation,”IEEE Trans. Power Syst., in press, 2024.
[2] Z. Wang, Q. Shi*, K. Fan, et al.,“Analytical modeling of disaster-induced load loss for preventive MPS allocation in urban power networks,”J. Mod. Power Syst. Clean Energ., in press, 2024.
[3] Q. Shi, H. Wan, W. Liu, et al.,“Preventive allocation and post-disaster cooperative dispatch of emergency mobile resources for improved distribution system resilience,” Int. J. Electr. Power Energy Syst., vol. 152, pp. 1-13, Oct. 2023.
[4] H. Wan, W. Liu, Q. Shi*, et al.,“Multi-time-step rolling optimization strategy for post-disaster emergency recovery in distribution system based on model predictive control,” CSEE J. Power Energ. Syst., in press, 2022.
[5] Q. Shi, F. Li, J. Dong, et al.,“Co-optimization of repairs and reconfiguration for distribution system resilient operation considering load uncertainty,” Applied Energy, vol. 318, pp. 1-11, Jul. 2022.
[6] Q. Shi, W. Liu, B. Zeng, et al.,“Enhancing distribution system resilience against extreme weather events: concept review, algorithm summary, and future vision”, Int. J. Electr. Power Energy Syst., vol. 138, pp. 1-13, Jun. 2022.
[7] Q. Shi, F. Li, T. Kuruganti, et al., “Resilience-oriented DG siting and sizing considering stochastic scenario reduction,” IEEE Trans. Power Syst., vol. 36, no. 4, pp. 3715-3727, Jul. 2021.
[8] Q. Shi, F. Li, M. Olama, et al.,“Network reconfiguration and distributed energy resource scheduling for improved distribution system resilience,” Int. J. Electr. Power Energy Syst., vol. 124, pp. 1-10, Jan. 2021.
[9] Q. Shi, C. Chen, A. Mammoli, and F. Li,“Estimating the profile of incentive-based demand response (IBDR) considering technical models and social-psychological factors", IEEE Trans. Smart Grid, vol. 11, no. 1, pp. 171-183, Jan. 2020.
[10] Q. Shi, F. Li, G. Liu, et al.,“Thermostatic load control for system frequency regulation considering daily demand profile and progressive recovery," IEEE Trans. Smart Grid, vol. 10, no. 6, pp. 6259-6270, Nov. 2019.
[11] Q. Shi, F. Li, and H. Cui,“Analytical method to aggregate multi-machine SFR model with applications in power system dynamic studies,”IEEE Trans. Power Syst., vol. 33, no. 6, pp. 6355-6367, Nov. 2018.
[12] Q. Shi, F.Li, Q. Hu, and Z. Wang,“Dynamic demand control for system frequency regulation: concept review, algorithm comparison, and future vision," Electric Power System Research, vol. 154, pp. 75-87, Jan. 2018.
[13] Q. Shi*, H. Cui, F. Li, et al.,“A hybrid dynamic demand control strategy for power system frequency regulation,” CSEE J. Power Energy Syst., vol. 3, no. 2, pp. 176-185, Jun. 2017.
[14] 李立钦, 石庆鑫*, 王月汉, 等. 计及高阶方程分段线性化的港口电-氢综合能源系统优化调度, 电力自动化设备, 43(12): 22-28, 2023.
[15] 王卓容, 石庆鑫*, 万海洋, 等. 基于负荷损失解析建模的城市电网移动式电源集群灾前布局. 电力自动化设备, 网络首发.
五、授权发明专利
[1] F. Li and Q. Shi, "Hybrid dynamic demand controller for power system frequency regulation," UTRF No. 17147-03, 2018. (授权美国专利).
[2] 李立钦, 石庆鑫, 王卓容, 樊科, 王月汉. 基于电解槽和高压储氢罐的港口氢-电综合能源系统, ZL202310389578.X。