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姓名:石庆鑫
职称:副教授
研究方向:
韧性城市电网的运行与规划 (Resilient urban power network operation and planning)
需求侧响应参与辅助性服务(Demand response for ancillary service)
电能质量与谐波(Power quality and harmonic)
联系方式:
办公地址:主楼A836
电子邮箱:qshi@ncepu.edu.cn
一、个人简介
石庆鑫,博士,副教授,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j9九游会官方网站j9九游会官方网站,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期刊论文共计20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 Trans. on Power Systems,IEEE Trans. on Smart Grid,IEEE Trans. on Sustainable Energy,IEEE Trans. on Power Delivery,Applied Energy等多个国内外顶级学术期刊审稿人。
二、主要科研项目情况
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. 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”,2023-2026,参与。
3. 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”,2022-2024,参与。
4. 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、代表性论著
1. Zhuorong Wang, Qingxin Shi*, Ke Fan, et al., “Analytical modeling of disaster-induced load loss for preventive MPS allocation in urban power networks,” Journal of Modern Power Systems and Clean Energy, in press.
2. Qingxin Shi, Haiyang Wan, Wenxia Liu, et al. “Preventive allocation and post-disaster cooperative dispatch of emergency mobile resources for improved distribution system resilience,” International Journal of Electrical Power and Energy Systems, vol. 152, pp. 1-13, Oct. 2023.
3. Gengming Liu, Wenxia Liu, Qingxin Shi*, “Modeling and vulnerability analysis of multi-layer urban electric-transportation interdependent networks under extreme events,” CSEE Journal of Power and Energy System, in press.
4. Qingxin Shi, Fangxing Li, Jin 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.
5. Haiyang Wan, Wenxia Liu, Qingxin Shi*, et al., “Multi-time-step rolling optimization strategy for post-disaster emergency recovery in distribution system based on model predictive control,” CSEE Journal of Power and Energy System, in press.
6. Wenxia Liu, Yuehan Wang, Qingxin Shi*, et al., “An innovative multi-stage restoration strategy to enhance distribution system resilience with improved conditional generative adversarial nets,” CSEE Journal of Power and Energy System, in press.
7. Qingxin Shi, Wenxia Liu, Bo Zeng, et al., “Enhancing distribution system resilience against extreme weather events: concept review, algorithm summary, and future vision”, International Journal of Electrical Power and Energy Systems, vol. 138, pp. 1-13, Jun. 2022.
8. Yiwei Zhang, Wenxia Liu, Qingxin Shi*, et al., “Resilience assessment of multidecision complex energy interconnection system,” International Journal of Electrical Power and Energy Systems, vol. 137, pp. 1-15, May 2022.
9. Qingxin Shi, Fangxing Li, Teja Kuruganti, et al., "Resilience-oriented DG siting and sizing considering stochastic scenario reduction," IEEE Transactions on Power Systems, 2020, no. 4, pp. 3715-3727, Jul. 2021.
10. Qingxin Shi, Fangxing Li, Mohammed Olama, et al., "Post-extreme-event restoration using linear topological constraints and DER scheduling to enhance distribution system resilience," International Journal of Electrical Power and Energy Systems, vol. 131, pp. 1-9, Oct. 2021.
11. Qingxin Shi, Fangxing Li, Mohammed Olama, et al., "Network reconfiguration and distributed energy resource scheduling for improved distribution system resilience," International Journal of Electrical Power and Energy Systems, vol. 124, pp. 1-10, Jan. 2021.(ESI 1%高被引)
12. Qingxin Shi, Chien-fei Chen, Andrea Mammoli, and Fangxing Li, "Estimating the profile of incentive-based demand response (IBDR) considering technical models and social-psychological factors," IEEE Transactions on Smart Grid, vol. 11, no. 1, pp. 171-183, Jan. 2020.
13. Qingxin Shi, Fangxing Li, Guangyi Liu, Di Shi, Zhehan Yi and Zhiwei Wang, "Thermostatic load control for system frequency regulation considering daily demand profile and progressive recovery,”IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 6259-6270, Nov. 2019.
14. Qingxin Shi, Fangxing Li, and Hantao Cui, "Analytical method to aggregate multi-machine SFR model with applications in power system dynamic studies,” IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 6355-6367, Nov. 2018.
15. Qingxin Shi, Fangxing Li, Qinran Hu, and Zhiwei 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.
16. Qingxin Shi, Hantao Cui, Fangxing Li, Yilu Liu, Wenyun Ju, and Yonghui Sun, "A hybrid dynamic demand control strategy for power system frequency regulation,”CSEE Journal of Power and Energy Systems, vol. 3, no. 2, pp. 176-185, Jun. 2017.(获2019年“中国电机工程学会优秀论文奖”三等奖)