电子邮箱:

Pengzhuang[at]zzu.edu.cn（请将[at]替换成@）

办公室:

电气楼1213

研究方向:

电力系统运行控制与调度、智能电网、综合能源系统、网络系统安全、电网侧储能技术、需求方响应技术、深度强化学习技术等

教育背景

2015/07-2020/11，阿尔伯塔大学，电气与计算机工程学院，博士

2011/09-2015/06，阿尔伯塔大学，电气与计算机工程学院，学士

工作经历

Ø2023/05-至今，郑州大学，电气与信息工程学院，副教授

Ø  2022/03-2023/04，郑州大学，电气与信息工程学院，讲师

Ø  2021/01-2022/03，英属哥伦比亚大学，电气与计算机工程学院，博士后

Ø  2020/11-2020/12，阿尔伯塔大学，电气与计算机工程学院，助理研究员

学术兼职

Ø  2020 IEEE 2020   IEEE Electric Power and Energy Conference (EPEC 2020)技术委员会委员

Ø  2020 IEEE 92nd   Vehicular Technology Conference (VTC2020-Fall)技术委员会委员

Ø  IEEE TSG, IEEE TPS,   IEEE TIE, IEEE Access, IEEE TSE, IEEE TII, IEEE TWC, IEEE TNNLS等期刊审稿人

奖励与荣誉

Ø  2022年，加拿大NSERC博士后奖学金

Ø  2020年，加拿大Queen Elizabeth   II优秀博士生奖

科研项目

Ø  （主持）加拿大Mitacs加速项目（IT23453），2021.02-2022.04

Ø  （主持）加拿大Mitacs加速项目（IT08199），2017.01-2018.02

Ø  （参与）加拿大NSERC联盟资助项目，2020.01-2024.12

Ø  （参与）加拿大NSERC联盟资助项目，2020.09-2021.09

Ø  （参与）加拿大NSERC研究与开发项目，2016.04-2018.12

代表文章

[1] P.   Zhuang and H. Liang, “False data injection attacks against state of   charge estimation of battery energy storage systems in smart distribution   networks,” IEEE Transactions on Smart Grid, vol. 12, no. 3, pp. 2566-2577,   May 2021.

[2] P.   Zhuang and H. Liang, “Stochastic energy management of electric bus   charging stations with renewable energy integration and B2G capabilities,”   IEEE Transactions on Sustainable Energy, vol. 12, no. 2, pp. 1206-1216, Apr.   2021.

[3] P.   Zhuang, T. Zamir, and H. Liang, “Blockchain for cyber security in smart   grid: a comprehensive survey,” IEEE Transactions on Industrial Informatics,   vol. 17, no. 1, pp. 3-19, Jan 2021.

[4] P.   Zhuang and H. Liang, “Hierarchical and decentralized stochastic energy   management for smart distribution systems with high BESS penetration,” IEEE   Transactions on Smart Grid, 2019, vol. 6, no. 6, pp. 9583-9595, Dec. 2019.

[5] P.   Zhuang, R. Deng, and H. Liang, “False data injection attacks against   state estimation in multiphase and unbalanced smart distribution systems,”   IEEE Transactions on Smart Grid, 2019, vol. 10, no. 6, pp. 6000-6013, Nov.   2019.

[6] R.   Deng, P. Zhuang, and H. Liang, “False data injection attacks against   state estimation in power distribution systems,” IEEE Transactions on Smart   Grid, vol. 10, no. 3, pp. 2871-2881, May 2019.

[7] P.   Zhuang, H. Liang, and M. Pomphrey, “Stochastic multi-timescale energy   management of greenhouses with renewable energy sources,” IEEE Transactions   on Sustainable Energy, vol. 10, no. 2, pp. 905-917, Apr. 2019.

[8]   W. Liu, P. Zhuang, H. Liang, J. Peng, and Z. Huang, “Distributed   economic dispatch in microgrids based on cooperative reinforcement learning,”   IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 6,   pp. 2192-2203, June 2018.

[9]   R. Deng, P. Zhuang, and H. Liang, “CCPA: Coordinated cyber-physical   attacks and countermeasures in smart grid,” IEEE Transactions on Smart Grid,   vol. 8, no. 5, pp. 2420-2430, Sept. 2017.

[10]   W. Shi, P. Zhuang, and H. Liang, “Mobile energy storage resource   allocation for distribution system resilience against earthquake,” in   Proceedings of IEEE Vehicular Technology Cnference (VTC), virtual conference,   Nov. 2020.

[11] P.   Zhuang and H. Liang, “FDI attacks against real-time DLMP in CPS-based   smart distribution systems,” in Proceedings of IEEE Global Communications   Conference (GLOBECOM), Big Island, HI, Dec. 2019.

[12]   W. Chen, P. Zhuang, and H. Liang, “Reinforcement learning for smart   charging of electric buses in smart grid,” in Proceedings of IEEE Global   Communications Conference (GLOBECOM), Big Island, HI, Dec. 2019.

[13] P.   Zhuang and H. Liang, “Decentralized coordination of electric vehicle   charging stations for active power compensation,” in Proceedings of IEEE   Vehicular Technology Conference (VTC), Toronto, CA, Sept. 2017.

[14]   W. Liu, P. Zhuang, Y. Liu, H. Liang, Z. Huang, and J. Peng,   “Cooperative neural fitted learning for distributed energy management in microgrids   via wireless networks,” in Proceedings of IEEE Vehicular Technology   Conference (VTC), Toronto, CA, Sept. 2017.

[15] P.   Zhuang and H. Liang, “Energy storage management in smart homes based on   resident activity of daily life recognition,” in Proceedings of IEEE   International Conference on Smart Grid Communications (SmartGridComm), Miami,   FL, Nov. 2015.