师资队伍

包宇庆

研究方向:电力系统优化运行与稳定控制

通讯地址:江苏省南京市栖霞区学林路2号,南京师范大学,电气与自动化工程学院,210046

电子邮箱:baoyuqing@njnu.edu.cn

教育背景:  

2012.09~2015.12    东南大学电气工程学院  博士

2009.09~2012.06    东南大学电气工程学院  硕士

学术荣誉:  

1. 获得2018年度Elsevier期刊International Journal of Electrical Power and Energy Systems (2017年影响因子3.61)“突出审稿贡献(Outstanding Contribution in Reviewing)”奖励

2. 获得2019年度Elsevier期刊Journal of Modern Power Systems and Clean Energy (MPCE)(2018年影响因子2.848)“优秀审稿(Excellence in Reviewing)”奖励。

3. 担任江苏省电机工程学会第十届理事会编辑工作委员会委员

4. 论文《需求响应参与多区域电力系统频率控制》入选中国电机工程学会电力系统自动化专委会2015 年学术交流年会优秀论文

5. 担任《IEEE Transactions on Power Systems》《IEEE Transactions on Smart Grid》, 《IEEE Transactions on Signal Processing》等著名SCI期刊的审稿人。

 

 

1.个人简历

包宇庆,男,1987出生于江苏省镇江市。2015年12月东南大学博士毕业,2017年被遴选为硕士生导师。主要从事电力系统优化运行、电力需求侧响应、电力市场等方面的研究工作,与中国电力科学研究院,南瑞集团、江苏省及各地市供电公司保持着密切的项目合作关系。负责并参与国家自然科学基金、中国博士后科学基金以及多项国网公司科技项目的研究。担任江苏省电机工程学会第十届理事会编辑工作委员会委员,担任《IEEE Transactions on Power Systems》《IEEE Transactions on Smart Grid》, 《IEEE Transactions on Signal Processing》等著名SCI期刊的审稿人。获得Elsevier期刊International Journal of Electrical Power and Energy Systems (2017年影响因子3.61)“突出审稿贡献(Outstanding Contribution in Reviewing)”奖励

2. 工作经历

2015.12~2019.6   讲师   南京师范大学
2019.6~                副教授   南京师范大学

3. 承担教学及教改情况
研究生课程:《电力系统分析》
本科生课程:《电力系统分析》、《智能电网》

4.科研项目

[1] 国家自然科学基金,51707099,海量温控负荷多时间尺度建模及调度控制策略研究,2018-2020,20万元,项目负责人
[2] 中国博士后科学基金面上项目,2017M611859,计及海量温控负荷多重不确定性的电力调度与控制策略,2017-2019,项目负责人
[3] 新联电能云服务有限公司(企业)项目,负荷建模与负荷预测关键与技术研究,2016-2018,15万元,项目负责人
[4] 江苏省高校自然科学研究项目,16KJB470009,温控负荷参与多时间尺度需求响应控制技术研究,2016-2018,项目负责人
[5] 江苏省配电网智能技术与装备协同创新中心开放基金项目,XTCX201603,大规模温控负荷参与可再生能源消纳的需求响应调度及控制策略研究,2016-2018,项目负责人

[6] 江苏省电力公司项目,大规模源网荷秒级响应价格机制研究,2018-2019,19.5万元,项目负责人

[7] 华北电力科学研究院有限责任公司项目,分布式发电参与需求响应的用电策略研究,2018-2019,8.1万元,项目负责人

[8] 中国电力科学研究院有限公司南京分院,电力市场运行模式及关键技术研究, 2019,38.5万元,项目负责人

[9]    国网江苏省电力公司盐城供电分公司,地区电网海量风光接入协同运行机制研究,34.5万元,项目负责人

[10]    国网江苏省电力公司连云港供电分公司,沿海城市综合能源服务策略与实践路径研究,34.5万元,项目负责人
 

5.论文、著作、专利和软件著作权:(包括教改论文)

  1. 包宇庆,成丽珉.空调负荷二阶等效热参数模型参数辨识方法[J/OL].电力系统自动化, http://doi.org/10.7500/AEPS20200801004.
  2. Yuqing Bao, P. Chen, M. Hu and X. Zhu, "Control parameter optimization of thermostatically controlled loads using a modified state-queuing model," in CSEE Journal of Power and Energy Systems, vol. 6, no. 2, pp. 394-401, June 2020. (SCI)
  3. Yuqing Bao, Xueting Zhou, Tongzhou Ji, Jinlong Zhang, Xiaobo Tang, Yang Wu. Power Fluctuation Damping of the Thermostatically Controlled Loads Based on State Estimation [J]. CSEE Journal of Power and Energy Systems, vol. 6, no. 4, pp. 834-840, Dec. 2020. (SCI)
  4. Zhe Wang, Yu-Qing Bao*, Huifang Di. Power System Virtual Inertia Implemented by Thermostatically Controlled Load [J]. IET Smart Grid, 2020, 3(4):530-537. (SCI)
  5. C. Chen, Yu-Qing Bao*, X. Wu and B. Wang. Incremental Cost Consensus Algorithm for On/Off Loads to Enhance the Frequency Response of the Power System. IEEE Access, 8: 67687-67697, 2020. (SCI)
  6. M. Zhang, Yu-Qing Bao*, X. Wu and Z. Ji, "A Day-Ahead Scheduling of Equivalent Energy Storage Model Considering Minimum-On-Off Time. IEEE Access, 2020, 8: 70355-70366. (SCI)
  7. X. Zhou, Yu-Qing Bao*, T. Ji and Q. Wang, Two-Layer Optimization Scheduling Model of Integrated Electricity and Natural Gas Energy System Considering the Feasibility of Gas-Fired Units. IEEE Access, 2020, 8: 40337-40346. (SCI)
  8. L. Cheng and Yu-Qing Bao*, "A Day-Ahead Scheduling of Large-Scale Thermostatically Controlled Loads Model Considering Second-Order Equivalent Thermal Parameters Model," in IEEE Access, vol. 8, pp. 102321-102334, 2020.
  9. Limin Cheng, Yu-Qing Bao*, Lai Tang, Huifang Di. Very-Short-Term Load Forecasting Based on Empirical Mode Decomposition and Deep Neural Network, IEEJ Transactions on Electrical and Electronic Engineering, 2019, 15(2). (SCI)
  10. Chen Chen, Yu-Qing Bao*, Xue-Hua Wu, Beibei Wang, Cheng Shen, Battery Energy Storage System Based on Incremental Cost Consensus Algorithm for The Frequency Control, IEEE Access, DOI: 10.1109/ACCESS.2019.2946458 (SCI)
  11. Yu-Qing Bao, Mei Wu, Xueting Zhou and Xiaobo Tang, Piecewise Linear Approximation of Gas Flow Function for the Optimization of Integrated Electricity and Natural Gas System. IEEE Access, 2019, 7: 91819-91826. (SCI)
  12. Mei Wu, Yu-Qing Bao*, Jinlong Zhang. et al. J. Multi-objective optimization for electric water heater using mixed integer linear programming. Modern Power System Clean Energy, 2019, 7(5): 1256–1266. (SCI)
  13. Yu-Qing Bao, Pei-Pei Chen, Xue-Mei Zhu, Min-Qiang Hu. The extended 2-dimensional state-queuing model for the thermostatically controlled loads [J]. International Journal of Electrical Power & Energy Systems. 2019,105: 323-329. (SCI)
  14. Mei Wu, Yu-Qing Bao*, Gang Chen, Jinlong Zhang, Beibei Wang, Weixing Qian. Hierarchical Distributed Control Strategy for Electric Vehicle Mobile Energy Storage Clusters. Energies. 2019, 12(7): 1195. (SCI)
  15. Yu-Qing Bao, Cheng Shen, Qi Wang, et al. Journal of Electrical Engineering & Technology. Demand Response Based on Kalman-Filtering for the Frequency Control. 2019, 14(3): 1087–1094. (SCI)
  16. Pei-Pei Chen, Yu-Qing Bao*. Load Thermal Inertia Modeling Method Based on Discrete-Time Inertia Model [J]. IEEJ Transactions on Electrical and Electronic Engineering. 2018, 13(9): 1313-1318. (SCI)
  17. Pei-Pei Chen, Yu-Qing Bao*, Xue-Mei Zhu, Jin-Long Zhang Min-Qiang Hu. Day-ahead scheduling of large numbers of thermostatically controlled loads based on equivalent energy storage model [J]. Journal of Modern Power System and Clean Energy, 2019, 7(3): 579-588(SCI)
  18. De-Yin Kong, Yu-Qing Bao*, Ying-Yi Hong, Bei-Bei Wang, Hong-Bin Huang, Ling Liu and Huan-Huan Jiang Distributed Control Strategy for Smart Home Appliances Considering the Discrete Response Characteristics of the on/off Loads. Applied Science, 2019, 9(3): 457 (SCI)
  19. Bao Yu-Qing, Li Yang. FPGA-based design of grid friendly appliance controller[J]. IEEE Transactions on Smart Grid, 2014, 5(2), 924-931. (SCI)
  20. Bao Yu-Qing, Hu Minqiang, Hong Ying-Yi, Chen Pei-Pei, Ju Jia-Qi, Ma Gang. Accuracy Analysis and Improvement of the State-Queuing Model for the Thermostatically Controlled Loads. IET Generation, Transmission & Distribution, 2017, 11(5), 1303-1310. (SCI)
  21. Bao Yu-Qing, Li Yang. Hong Ying-Yi, Wang Beibei. Design of a hybrid hierarchical demand response control scheme for the frequency control[J]. IET Generation, Transmission & Distribution. 2015, 9(15): 2303-2310. (SCI)
  22. Bao Yu-Qing, Li Yang. On deloading control strategies of wind generators for system frequency regulation[J]. International Transactions on Electrical Energy Systems. 2015, 25(4):623-635.(SCI)
  23. Bao Yu-Qing, Li Yang, Wang Beibei, Hu Minqiang, Chen Pei-Pei. Demand Response for Frequency Control of Multi-area Power System[J]. Journal of Modern Power Systems and Clean Energy. 2017, 5(1): 20-29. (SCI)
  24. Bao Yu-Qing, Li Yang, Wang Beibei, Hu Minqiang, Zhou Yanmin. Day-ahead Scheduling Considering Demand Response as a Frequency Control Resource [J]. Energies. 2017, 10(1): 82. (SCI)
  25. Li Yang, Bao Yu-Qing, Yang Bin, Chen Chu, Ruan Wenjun. Modification method to deal with the accumulation effects for summer daily electric load forecasting[J]. International Journal of Electrical Power & Energy Systems (IJEPES), 2015, 73(12): 913-918. (SCI)
  26. Hong Ying-Yi, Bao Yu-Qing. FPGA implementation for real-time empirical mode decomposition[J]. IEEE Transactions on Instrumentation and Measurement, 2012, 61(12), 3175-3184. (SCI)
  27. Gao Bingtuan, Bao Yuqing, Xie Jiehua, and Jia Lijuan. Passivity-based control of two-dimensional translational oscillator with rotational actuator[J]. Transactions of the Institute of Measurement and Control, 2014, 36(1), 111-118. (SCI)
  28. 包宇庆,李扬,张磊,陈楚. 基于神经网络的日峰荷预测方法中日期类型系数的确定. 中国电机工程学报, 2015, 35(22): 5715-5722
  29. 包宇庆, 王蓓蓓, 李扬, 杨胜春. 考虑大规模风电接入并计及多时间尺度需求响应资源协调优化的滚动调度模型. 中国电机工程学报, 2016, 36(17):4589-4599
  30. 陈刚,包宇庆*,张金龙,王蓓蓓,武媚,王婷. 计及寿命损耗成本的储能单元分布式协同控制策略[J]. 电网技术,2018,42(05):1495-1501. (EI)
  31. 包宇庆, 李扬, 王春宁, 薛璐. 需求响应参与大规模风电接入下的电力系统频率调节研究[J]. 电力系统保护与控制. 2015, 43(4): 32-37
  32. Bao Yu-Qing, Ju Jia-Qi, Wang Qi. Ma Gang. On the accuracy of the state-queuing model for the thermostatically controlled loads. 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (IEEE PES APPEEC 2016), 2016, 1990 - 1994.
  33. Bao Yu-Qing, Li Yang. Optimal design of demand response in load frequency control[C]. 2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (IEEE PES APPEEC 2014), 2014.
  34. Bao Yuqing, Li Junyuan, Xie Jiehua, Gao Bingtuan. On hierarchical sliding mode control of underactuated TORA system[C]. 2012 10th World Congress on Intelligent Control and Automation (WCICA), 2012, 1785-1789.
  35. Bao Yuqing, Xie Jihua. Contrast study on power quality detection using EMD and EEMD. 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet). 2010
  36. Y. Q. Bao, Y. Yao, M. Q. Hu, X. L. Chen, J. L. Zhang and Q. Wang, "Demand response as a method for damping electromechanical oscillations of the power system," IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, 2017, pp. 208-213.
  37. Peipei Chen, Yuqing Bao, Xueting Zhou, Xuemei Zhu, Jinlong Zhang. Scenario-Based Scheduling Model of Electricity and Natural Gas System Con-sidering Multi-Uncertainties. The 2nd IEEE Conference on Energy Internet and Energy System Integration. (EI会议)
  38. Xueting Zhou, Yu-Qing Bao, Pei-Pei Chen, Tongzhou Ji,Wenjuan Deng, Weijia Jin. Integrated Electricity and Natural Gas Energy System Scheduling Model Considering Multi-Energy Storage Systems. IEEE PES Asia Pacific Power & Energy Engineering Conference. 10.7-10.11, 2018, Sabah, Malaysia. (EI会议)