姓名：张孝顺
职称：副教授
邮箱：xiaoshunzhang@stu.edu.cn;xszhang1990@sina.cn
办公地点：新行政中心220
研究方向：人工智能与电气应用；智能电网；新能源运行优化与控制
教育及工作背景：
l2018.09至今，汕头大学工学院，副教授，卓越人才计划“优秀人才”
l2017.09至2018.09，香港理工大学电机工程系，博士后副研究员
l2012.09至2017.06，华南理工大学电力学院，电力系统及其自动化专业，工学博士
l2008.09至2012.06，华南理工大学电力学院，电气工程及其自动化专业，工学学士
成果业绩
l已发表国家级专著1本，已授权发明专利5项
l已发表(含录用)SCI/EI期刊论文100余篇，其中：SCI期刊论文65篇(40篇中科院一区, 5篇ESI高被引)
l主持国家自然科学基金青年项目1项、广东省自然科学基金面上项目1项
奖励与荣誉
l“2020年度电力创新奖技术类一等奖”
l“2020年度中国能源研究会能源创新奖二等奖”
l“2018年度电力创新奖技术类一等奖”
l“2018年度江苏省科学技术奖三等奖”
l“2018年度中国电工技术学会科学技术奖二等奖”
l汕头市青年岗位能手、汕头市第一届五四青年奖章
l《中国电机工程学报》、《电力系统自动化》等权威期刊“优秀审稿专家”
主要社会兼职
l中国电工技术学会第八届理事会青年工作委员会委员
l中国电工技术学会人工智能与电气应用专业委员会委员
lIEEE PES智慧楼宇、负载和客户系统技术委员会（中国）电力负荷技术分委会副秘书长
l《Protection and Control of Modern Power Systems》、《Frontiers in Energy Research》、《Mathematical Problems in Engineering》、《电力建设》等权威期刊专栏客座主编
代表性著作：
[1]余涛，张孝顺，殷林飞，等.智能发电控制.北京：科学出版社，2019. ( “十二五”国家重点图书出版规划项目——智能电网研究与应用丛书)
[2]Xiaoshun Zhang, Tao Yu, Zhenning Pan, et al. Lifelong learning for complementary generation control of interconnected power grids with high-penetration renewables and EVs.IEEE Transactions on Power Systems,2018, 33(4): 4097-4110.
[3]Xiaoshun Zhang, Zhao Xu, Tao Yu, Bo Yang, et al. Optimal mileage based AGC dispatch of a GenCo.IEEE Transactions on Power Systems, 2020, 35(4): 2516-2526.
[4]Xiaoshun Zhang, Qing Li, Tao Yu, et al. Consensus transfer Q-learning for decentralized generation command dispatch based on virtual generation tribe.IEEE Transactions on Smart Grid, 2018, 9(3): 2152-2165.
[5]Xiaoshun Zhang, Bo Yang, Tao Yu, et al. Dynamic surrogate model based optimization for MPPT of centralized thermoelectric generation system under heterogeneous temperature differences.IEEE Transactions on Energy Conversion, 2020, 35(2), 966-976.
[6]Xiaoshun Zhang, Yixuan Chen, Tao Yu, et al.Equilibrium-inspired multiagent optimizer with extreme transfer learning for decentralized optimal carbon-energy combined-flow of large-scale power systems.Applied Energy, 2017, 189: 157-176.
[7]Xiaoshun Zhang, Tian Tan, Bo Yang, et al. Greedy search based data-driven algorithm of centralized thermoelectric generation system under non-uniform temperature distribution.Applied Energy, 2020, 260, **.
[8]Xiaoshun Zhang, Tao Yu, Bo Yang, et al. Approximate ideal multi-objective solution Q(λ) learning for optimal carbon-energy combined-flow in multi-energy power systems.Energy Conversion and Management, 2015, 106: 543-556.
[9]Xiaoshun Zhang, Chuanzhi Li, Zilin Li, et al. Optimal mileage-based PV array reconfiguration using swarm reinforcement learning.Energy Conversion and Management, 2021, 232, 113892.
[10]Bo Yang, Tao Yu,Xiaoshun Zhang*, et al. Dynamic leader based collective intelligence for maximum power point tracking of PV systems affected by partial shading condition.Energy Conversion and Management, 2019, 179: 286-303.