杨博，男，中共党员，博士，教授，博士生导师
Email: yangbo_ac@outlook.com
【教育经历】
2006.9-2010.7华南理工大学电气工程 电气工程及其自动化 本科
2010.9-2011.7华南理工大学电气工程 电力系统及其自动化 硕士研究生
2011.10-2015.12 国家留学基金委(CSC)全额奖学金公派赴英国利物浦大学(University of Liverpool)留学 电气工程 博士(PhD)
工作经历:
2016.5-2017.8 讲师
2017.8-2020.10 副教授 (破格)，硕士生导师
2020.10-今 教授 (破格)
2022.12-今 博士生导师
2023.10-2024.1 英国利物浦大学 国家公派(CSC)访问学者
【本科生教学课程】
《电力系统暂态分析》、《导师专题》、《高压直流输电技术》、《工程伦理学》、《专业英语》、《智能电网技术（双语）》
【硕士研究生教学课程】
《专业英语》
【博士研究生教学课程】
《系统科学进展》
主要研究方向：
基于人工智能的新能源优化与控制
承担科研项目及完成情况：
[1] 《含高渗透率新能源电力系统发-输-配-用分离下的电企联盟博弈最优自适应控制》,国家自然科学基金-地区基金,主持
[2] 《基于博弈的风光储一体化系统最优协同调度》,国家自然科学基金-地区基金,主持
[3] 《云南光伏发电系统非线性鲁棒状态估计反馈控制器设计》,云南省应用基础研究计划项目-青年项目,主持
[4] 《光伏系统智能优化运行关键技术研究》,云南省应用基础研究计划项目-面上项目,主持
[5] 《基于博弈的近零碳园区综合能源系统规划关键技术研究》,云南省应用基础研究计划项目-面上项目,主持
[6] 《基于博弈论多主体综合能源系统协同优化研究》,云南省“兴滇英才支持计划”高端外国专家专项项目,主持
[7] 《新型主体主动参与配电网调控检测试验平台开发，子课题一：主动配电网可控资源建模与聚合特性研究》,云南省科技厅工业领域重点研发项目,主持
[8] 《云南电网多方均衡快速博弈电力系统稳定器最优协调控制》,云南省教育厅科学研究基金资助性项目,主持
[9] 《基于扰动观察器的滑动模态无源控制对双馈电机的最大功率追踪》,昆明理工大学自然科学研究基金资助项目-省人才培养计划,主持
[10] 《基于数据驱动的大规模光伏参与电网调频关键技术研究》,电网智能化调度与控制教育部重点实验室(山东大学)开放基金课题,主持
[11] 《基于数据驱动的质子交换膜燃料电池鲁棒控制关键技术研究》,现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学)开放基金课题,主持
[12] 《基于人工智能算法的风-光-波一体化系统最优规划》,智能电网四川省重点实验室(四川大学)开放基金课题,主持
[13] 《玉溪供电局基于主动配电网的智能用电模式动态优化关键技术研究整体技术服务》,横向课题,主持
[14] 《高比例新能源的潮流快速控制与风光水协同互补控制技术研究》,横向课题,主持
[15] 《昆北换流站融冰装置谐波对直流系统的运行风险分析和管控策略研究》,横向课题,主持
[16] 《针对光伏系统的电气设计与结构/热设计原理与实践课程培训》,横向课题,主持
[17] 《新能源调频技术研究》,横向课题,主持
[18] 《新能源系统容量及布局优化关键技术研究》,横向课题,主持
[19] 《变电站巡检机器人主站管理平台关键技术辅助提升项目》,横向课题,主持
[20] 《多类型能源接入主动配电网能力的提升技术研究》,横向课题,主持
[21] 《110kV-220kV变电站母线侧隔离开关引流线拟人机器装置》,横向课题,主持
[22] 《新能源系统并网与运行关键技术开发》,横向课题,主持
[23] 《基于知识图谱的高压直流输电系统故障诊断关键技术》,横向课题,主持
[24] 《新型电力系统优化运行关键技术研究》,横向课题,主持
[25] 《基于多数据源的新能源参数自动识别技术研究与应用》, 横向课题,主持
[26] 《传感器轻量级加密技术及源荷储设备级协同互动技术研究》, 横向课题,主持
[27] 《区域电网下集群风电场建模与控制技术研究》, 横向课题,主持
[28] 《新型电力系统规划技术优化研究》, 横向课题,主持
[29] 《大负荷架空线路技术研究》, 横向课题,主持
[30] 《低碳园区综合能源系统优化运行与调度技术研究》, 横向课题,主持
[31] 《基于SimuNPS软件的智能模组开发》, 横向课题,主持
[32] 《电-热-气-氢一体化综合能源系统低碳最优调度关键技术研究》, 横向课题,主持
[33] 《电动汽车有序充电需求响应潜力分析及优化理论研究》, 横向课题,主持
[34] 《基于图形化的电网事故重构推演关键技术研究及应用技术》, 横向课题,主持
[35] 《新型电力系统配电网供电能力提升规划方法研究》, 横向课题,主持
[36] 《基于自愈的配网智能规划与评价技术研究及设备试制》, 横向课题,主持
[37] 《电力系统多元技术规划与需求驱动调度策略优化研究》, 横向课题,主持
[38] 《基于NLP 与多模态技术的直流输电及公司专业知识智能化平台研发》, 横向课题,主持
[39] 《基于车-桩-网均衡耦合系统下多主体协同互动运行方法研究》, 横向课题,主持
[40] 《新型电力系统智能协同优化运行关键技术及应用研究》, 横向课题,主持
获奖情况：
(1)2018年中国电力企业联合会技术类一等奖
(2)2018年中国产学研合作创新成果奖二等奖
(3)2023年云南电网公司科技进步奖一等奖
(4)2024年中国电工技术学会科技进步奖三等奖
【人才头衔】
(1)2018年云南省首届“兴滇英才支持计划”青年人才”(省部级)
(2)2021-2025年爱思唯尔中国高被引学者
(3)2022-2025年度科学影响力与终身科学影响力全球前2%顶尖科学家
(4)2024-2025年中国知网前1%高被引学者
【发表论文】
发表SCI期刊论文200篇(11篇ESI论文，3篇热点论文)，一作SCI期刊论文81篇(中科院一区41篇，二区23篇)；通讯SCI期刊论文51篇(中科院一区18篇，二区15篇)。一作/通讯EI期刊论文37篇。第一作者身份著中文专著两本。
【论著发表】
[1] 杨博, 余涛, 束洪春.《新能源发电系统非线性鲁棒控制》, ISBN: 978-7-5198-6359-3, 中国电力出版社, 北京, 2022.
[2] 杨博, 余涛, 孙立明.《人工智能在新能源发电系统中的应用》, ISBN: 978-7-5198-7275-5, 中国电力出版社, 北京, 2023.
【一作与通讯SCI论文列表(中科院分区,*代表通讯)】（仅罗列中科院一区）
<2026>
[1] B. Yang, B.X. Liang, S. Zhou, Y.C. Qian, R.Y. Zheng, H.C. Shu, P. He, J.B. Wang*, L. Jiang, Y.Y. Sang, H.B. Li, ‘A novel bio-inspired caterpillar fungus (Ophiocordyceps sinensis) optimizer for SOFC parameter identification via GRNN’, Renewable Energy, vol. 256, 123995, 2026.
[2] B. Yang, C.Y. Tang, L. Zhou, Z.J. Zhang, Y.X. Chen, H. Lu, H.B. Li, D.K. Gao, Y.Y. Sang, L. Jiang, B.D. Zhang *, ‘Efficient hybrid-strategy Q-learning based power enhancement for dynamic thermoelectric generation systems reconfiguration under heterogeneous temperature distribution’, Engineering Applications of Artificial Intelligence, vol. 167, 163900, 2026.
[3] J.L. Li, B. Yang*, Y.M. Zhou, B.Y. Yan, H.B. Li, D.K. Gao, L. Jiang, ‘Stackelberg game-based optimal coordination for low carbon park with hydrogen blending system’, Renewable Energy, vol. 256, 124118, 2026.
[4] J.L. Li, B. Yang*, Y.M. Zhou, H.C. Shu, H.B. Li, D.K. Gao, L. Jiang, ‘Coordinated low-carbon economic scheduling of integrated electricity-heat-gas-hydrogen-methanol multi-microgrids considering electricity-methanol transaction’, Expert Systems with Applications, vol. 298, 129701, 2026.
[5] Y.W.J. Hu, B. Yang*, B. He, H.B. Li, D.K. Gao, J.B. Wang, L. Jiang, ‘Optimal operation and planning of hydrogen refueling stations for hydrogen fuel cell vehicles: a typical techno-economic-environmental paradigm’, Renewable Energy, vol. 256, 124459, 2026.
[6] J.L. Li, B. Yang*, H.B. Li, D.K. Gao, L. Jiang, ‘Optimal pricing incentive strategy based on Stackelberg game for EVs and HFCVs in low-carbon integrated energy system’, Applied Energy, vol. 413,127770, 2026.
[7] J.B. Wang, J.F. Wen, C. Long, B. Yang, L. Jiang*. 'Global electricity-carbon market nexus: a systematic review of synergistic efforts toward a net-zero power sector', Applied Energy, vol. 402, 126992, 2026.
<2025>
[1] B. Yang, Y.M. Zhou, Y.F. Yan*, S. Su, J.L. Li, W. Yao, H.B. Li, D.K. Gao, J.B. Wang, ‘A critical and comprehensive handbook for game theory applications on new power systems: structure, methodology, and challenges’, Protection and Control of Modern Power Systems, vol. 10, no. 5, pp. 1-27, 2025.
[2] B. Yang, G. Zhou, S. Zhou, Y.W.J Hu, B. He, Z.X. Guo*, Z.B. Luo, H.B. Li, D.K. Gao, J.B. Wang, L. Jiang ‘Multi-objective optimal bi-level scheduling of hybrid mobile stationary energy storage systems for flexible distribution network’, Journal of Cleaner Production, vol. 525, 146534, 2025.
[3] R. Zhang, B. Yang *, J.R. Wang, H.C. Shu, L. Jiang, Y.Y. Sang, H.B. Li, D.K. Gao, Y.X. Chen, ‘Techno-economic-environmental design and assessment of proton exchange membrane electrolyzers for optimal off-grid wind power hydrogen production’, Renewable Energy, vol. 252, 123483 2025.
[4] J.L. Li, B. Yang*, Z.N. Pan, H.B. Li, D.K. Gao, L. Jiang, ‘Stackelberg-Nash bargaining-based low-carbon scheduling for multiple integrated multi-energy systems’, Energy, vol. 339, 139024, 2025
[5] Z. Jiang, B. Yang*, R.Y. Zheng, Y.T. Hou, H.B. Li, D.K. Gao, Z.X. Guo, L. Jiang ‘Fault diagnosis of proton exchange membrane fuel cell using multiple convolutional neural networks with multi-scale attention mechanism’, Information Sciences, vol. 720, 122524, 2025.
[6] J.B. Wang, J.F. Wen, S.C. Wu, B. Yang, P.L. Zeng, L. Jiang*. “Optimal green energy harvesting for hybrid photovoltaic-thermoelectric generator system via chaotic rime optimizer: a tech-no-environmental assessment”, Protection and Control of Modern Power Systems, vol. 10, no. 6, pp. 63-80, 2025.
<2024>
[1] B. Yang, Y.C. Qian, Q. Li, Q. Chen, J.Y. Wu, E.B. Luo, R. Xie, R.Y. Zheng, Y.F. Yan, S. Su, J.B. Wang*. ‘Critical summary and perspectives on state-of-health of Lithium-ion battery’, Renewable & Sustainable Energy Reviews, vol. 190, 114077, 2024.
[2] B. Yang, Z.J. Zhang, J. Zhang, X.L. Cheng, J.L. Li*, J.L. Shu, J.N. Wang, X.T. Wang, Y.L. Li, J.B. Wang. ‘Optimal reconfiguration design and HIL validation of hybrid PV-TEG systems via improved firefly algorithm’, Energy, vol. 286, 129648, 2024.
[3] B. Yang, R.Y. Zheng, Y.M. Han*, J.X. Huang, M.W. Li, H.C. Shu, S. Su, Z.X. Guo, ‘Recent advances and summarization of fault diagnosis techniques for the photovoltaic system: A critical overview’, Protection and Control of Modern Power Systems, vol. 9, no. 3, pp. 36-59, 2024.
[4] B. Yang, J.R. Wang, S. Su, Y.L. Li, P.Y. Wu, Z.W. Yang, H. Fan, W.T. Li, J.L. Li*, ‘Mismatch losses mitigation of PV-TEG hybrid system via improved RIME algorithm: Design and hardware validation’, Journal of Cleaner Production, vol. 434, 139957, 2024.
[5] B. Yang, M.W. Li, R.S. Qin, E.B. Luo, J.H. Duan, B.Q. Liu, Y.T. Wang, J.B. Wang*, L. Jiang. ‘Extracted power optimization of hybrid wind-wave energy converters array layout via enhanced snake optimizer’, Energy, vol. 93, 130529, 2024.
[6] B. Yang, B.X. Liang, Y.C. Qian, R.Y. Zheng, S. Su, Z.X. Guo*, L. Jiang, ‘Parameter identification of PEMFC via feedforward neural network-pelican optimization algorithm’, Applied Energy, vol. 361, 122857, 2024.
[7] B. Yang, J.H. Duan, Y.F. Yan*, B.Q. Liu, J.X. Huang, L. Jiang, R. Han, ‘EMCO-based optimal layout design of hybrid wind-wave energy converters array’, Protection and Control of Modern Power Systems, vol. 9, no. 5, pp. 142-161, 2024.
[8] B. Yang, Y.M. Zhou, B.Q. Liu, M.W. Li, J.H. Duan, P.L. Cao*, C. Zheng, L. Jiang, Y.Y. Sang, ‘Optimal array layout design of wave energy converter via honey badger algorithm’, Renewable Energy, vol. 234, 121182, 2024.
[9] B. Yang, J.H. Duan, M.W. Li, B.Q. Liu, P.L. Cao*, P. He, Y.X. Chen, L. Jiang, ‘Optimal placement of hybrid solar-wind-wave systems for maximum energy harvesting via chaotic artificial rabbits algorithm’, Energy Conversion and Management, vol. 322, 119143, 2024.
[10] M.W. Li, B. Yang*, J.H. Duan, H.C. Shu, Y.T. Wang, Z.W. Yang, L. Jiang, Y.X. Chen, Y.Y. Sang, ‘Exponential slime mould algorithm based spatial arrays optimization of hybrid wind-wave-PV systems for power enhancement’, Applied Energy, vol. 373, 123905, 2024.
[11] B. He, B. Yang*, Y.M. Han, Y.M. Zhou, Y.W.J. Hu, H.C. Shu, S. Su, J. Yang, Y.P. Huang, J.L. Li, L. Jiang, H.B. Li. ‘Optimal EVCS planning via spatial-temporal distribution of charging demand forecasting and traffic-grid coupling’, Energy, vol. 313, 133885, 2024.
[12] J.B. Wang, J.F. Wen, J.R. Wang, B. Yang, L. Jiang*. ‘Water electrolyzer operation scheduling for green hydrogen production: A review’, Renewable & Sustainable Energy Reviews, vol. 203, 114779, 2024.
[13] J.B. Wang, Y.L. Li, B. Yang, L. Jiang*. ‘Multi-optimized Reconfiguration of hybrid photovoltaic-thermoelectric generation (PV-TEG) system for performance enhancement’, Energy Conversion and Management, vol. 307, 118373, 2024.
[14] J.B. Wang, J.F. Wen, J.R. Wang, B. Yang, L. Jiang*. ‘Coordinated scheduling of wind-solar-hydrogen-battery storage system for techno-economic-environmental optimization of hydrogen production’, Energy Conversion and Management, vol. 314, 118695, 2024.
<2023>
[1] B. Yang, S.C. Wu, J.X. Huang, Z.X. Guo*, J.R. Wang, Z.J. Zhang. R. Xie, H.C. Shu, L. Jiang. ‘Salp swarm optimization algorithm based MPPT design for PV-TEG hybrid system under partial shading conditions’, Energy Conversion and Management, vol. 292, 117410, 2023.
[2] B. Yang, M.T. Zhang, Z.X. Guo, P.L. Cao*, J. Yang, G.B. He, J.X. Yang, R. Su, X.Y. Huang, M.M. Zhu, H. Lu, D.D. Zhu. ‘Adaptive evolutionary jellyfish search algorithm based optimal photovoltaic array reconfiguration under partial shading condition for maximum power extraction’, Expert Systems with Applications, vol. 215, 119325, 2023.
[3] B. Yang, S.C. Wu, Q. Li, Y.J. Yan, D.Y. Li, E.B. Luo, C.Y. Zeng, Y.J. Chen, Z.X. Guo, H.C. Shu, Z.L. Li, J.B. Wang*. ‘Jellyfish search algorithm based optimal thermoelectric generation arrays reconfiguration under non-uniform temperature distribution condition’, Renewable Energy, vol. 204, pp. 197-217, 2023.
[4] B. Yang, Y.L. Li, J.X. Huang, M.W. Li, R.Y. Zheng, J.H. Duan, T.S. Fan, H. Zou, T. Liu, J.B. Wang*, H.C. Shu, L. Jiang, ‘Modular reconfiguration of hybrid PV-TEG systems via artificial rabbit algorithm: modelling, design and HIL validation’, Applied Energy, vol. 351, 121868, 2023.
[5] J.L. Li, B. Yang*, J.X. Huang, Z.X. Guo, J.B. Wang, R. Zhang, Y.W.J. Hu, H.C. Shu, Y.X. Chen, Y.F. Yan ‘Optimal planning of electricity hydrogen hybrid energy storage system considering demand response in active distribution network’, Energy, 273, 127142, 2023.
[6] X. He, Q. Ai, B. Pan, J.B. Wang, F. Tao, R. Qiu, B. Yang*. ‘Situation awareness of energy internet of thing in smart city based on digital twin: from digitization to informatization’, IEEE Internet of Things Journal, vol. 10, no. 9, pp. 7439-7458, 2023.
[7] Y.T. Wang, B. Yang*. ‘Optimal PV array reconfiguration under partial shading condition through dynamic leader based collective intelligence’, Protection and Control of Modern Power Systems, vol. 8, no. 40, pp. 1-16, 2023.
<2022>
[1] B. Yang, C.Y. Zeng, D.Y. Li, Z.X. Guo, Y.J. Chen, H.C. Shu, P.L. Cao*, Z.L. Li. ‘Improved immune genetic algorithm based TEG system reconfiguration under non-uniform temperature distribution’, Applied Energy, vol. 325, 119691, 2022
[2] B. Yang, S.C. Wu, H. Zhang, B.Q. Liu, H.C. Shu, J.S. Shan*, Y.X. Ren, W. Yao. ‘Wave energy converter array layout optimization: A critical and comprehensive overview’, Renewable & Sustainable Energy Reviews, vol. 167, 112668, 2022.
[3] B. Yang, B.Q. Liu, H.Y. Zhou, J.B. Wang, W. Yao*, S.C. Wu, H.C. Shu, Y.X. Ren. ‘A critical survey of technologies of large offshore wind farm integration: summarization, advances, and perspectives’, Protection and Control of Modern Power Systems, vol. 7, no. 17, pp. 1-32, 2022.
[4] B. Yang, Y.L. Li, J.L. Li, H.C. Shu, X.Y. Zhao, Y.X. Ren*, Q. Li. ‘Comprehensive summarization of solid oxide fuel cell: control: A state-of-the-art review’, Protection and Control of Modern Power Systems, vol.7, no. 36, pp. 1-31, 2022.
[5] Y.J. Chen, B. Yang*, Z.X. Guo, J.B. Wang, M.M. Zhu, Z.L. Li, Q. Li, T. Yu. ‘Dynamic reconfiguration for TEG systems under heterogeneous temperature distribution via adaptive coordinated seeker’, Protection and Control of Modern Power Systems, vol. 7, no. 38, pp. 1-19, 2022.
<2021>
[1] B. Yang, Z.X. Guo, Y. Yang*, Y.J. Chen, R. Zhang, K.Y. Su, H.C. Shu, T. Yu, X.S. Zhang. ‘Extreme learning machine based meta-heuristic algorithms for parameter extraction of solid oxide fuel cells’, Applied Energy, vol. 303, 117630, 2021.
[2] B. Yang, H.Y. Ye, J.B. Wang, J.L. Li, S.C. Wu, Y.L. Li, H.C. Shu, Y.X. Ren*, H. Ye. ‘PV arrays reconfiguration for partial shading mitigation: Recent advances, challenges and perspectives’, Energy Conversion and Management. vol. 247, 114738, 2021.
[3] B. Yang, J.B. Wang, J.T. Wang, Y.J. Chen, Z.X. Guo, C.Y. Zeng, H.C. Shu, X.S. Zhang*, T. Yu. ‘Robust fractional-order PID control of supercapacitor energy storage systems for distribution network applications: A perturbation compensation based approach’, Journal of Cleaner Production. vol. 279, 123362, 2021.
[4] B. Yang, L.E. Zhong, J.B. Wang*, H.C. Shu, X.S. Zhang, T. Yu, L.M. Sun. ‘State-of-the-art one-stop handbook on wind forecasting technologies: an overview of classifications, methodologies, and analysis’, Journal of Cleaner Production. vol. 283, 124628, 2021.
[5] B. Yang, Thidar Swe, Y.X. Chen*, C.Y. Zeng, H.C. Shu, X. Li, T. Yu, X.S. Zhang, L.M. Sun, ‘Energy cooperation between Myanmar and China under one belt one road: current state, challenges and perspectives’ Energy, vol. 215, 119130, 2021.
[6] B. Yang, D.Y. Li, C.Y. Zeng, Y.J. Chen, Z.X. Guo, J.B. Wang, H.C. Shu, T. Yu, J.W. Zhu*, ‘Parameter extraction of PEMFC via Bayesian regularization neural network based meta-heuristic algorithms’ Energy, vol. 228, 120592, 2021.
[7] J.B. Wang, B. Yang*, D.Y. Li, C.Y. Zeng, Y.J. Chen, Z.X. Guo, X.S. Zhang, T. Tan, H.C. Shu, T. Yu. ‘Photovoltaic cell parameter estimation based on improved equilibrium optimizer algorithm’, Energy Conversion and Management. vol. 236, 114051, 2021.
[8] X.S. Zhang, C.Z. Li, Z.L. Li, X.Q. Yin, B. Yang*, L.X. Gan, T. Yu. ‘Optimal mileage-based PV array reconfiguration using swarm reinforcement learning’, Energy Conversion and Management. vol. 232, 113892, 2021.
[9] X.S. Zhang, T. Yu, B. Yang*, L. Jiang. ‘A random forest-assisted fast distributed auction-based algorithm for hierarchical coordinated power control in a large-scale PV power plant’, IEEE Transactions on Sustainable Energy, vol. 12, no. 4, pp. 2471-2481, 2021.
[10] J.W. Li, T. Yu*, B. Yang. ‘A data-driven output voltage control of solid oxide fuel cell using multi-agent deep reinforcement learning’, Applied Energy. vol. 304, 117541, 2021.
<2020>
[1] B. Yang, J.B. Wang, X.S. Zhang*, T. Yu, W. Yao, H.C. Shu, F. Zeng, and L.M. Sun, ‘Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification’, Energy Conversion and Management. vol. 208, 112595, 2020.
[2] B. Yang, J.B. Wang*, M.T. Zhang, H.C. Shu, T. Yu, X.S. Zhang, W. Yao, L.M. Sun ‘A state-of-the-art survey of solid oxide fuel cell parameter identification: modelling, methodology, and perspectives’, Energy Conversion and Management. vol. 213, 112856, 2020.
[3] B. Yang, M.T. Zhang, X.S. Zhang*, J.B. Wang, H.C. Shu, S.N. Li, T.Y. He, L. Yang, and T. Yu, ‘Fast atom search optimization based MPPT design of centralized thermoelectric generation system under heterogeneous temperature difference’, Journal of Cleaner Production. vol. 248, 119301, 2020.
[4] B. Yang, J.B. Wang*, L. Yu, H.C. Shu, T. Yu, X.S. Zhang, W. Yao, L.M. Sun. ‘A critical survey on proton exchange membrane fuel cell parameter estimation using meta-heuristic algorithms’, Journal of Cleaner Production. vol. 265, 121660, 2020.
[5] B. Yang, T.J. Zhu, J.B. Wang*, H.C. Shu, T. Yu, X.S. Zhang, W. Yao, L.M. Sun. ‘Comprehensive overview of maximum power point tracking algorithms of PV systems under partial shading condition’, Journal of Cleaner Production. vol. 268, 121983, 2020.
[6] B. Yang, T.J. Zhu, X.S. Zhang*, J.B. Wang, H.C. Shu, S.N. Li, T.Y. He, L. Yang, T. Yu, ‘Design and implementation of battery/SMES hybrid energy storage systems used in electric vehicles: A nonlinear robust fractional-order control approach’, Energy, vol. 191, 116510, 2020.
[7] B. Yang, J.T. Wang, X.S. Zhang*, L. Yu, H.C. Shu, T. Yu, L.M. Sun, ‘Control of SMES systems in distribution networks with renewable energy integration: a perturbation estimation approach’ Energy, vol. 202, 117753, 2020.
[8] X.S. Zhang, T. Tan, B. Yang*, J.B. Wang, S.N. Li, T.Y. He, L. Yang, T. Yu, L.M. Sun. ‘Greedy search based data-driven algorithm of centralized thermoelectric generation system under non-uniform temperature distribution’, Applied Energy. vol. 260, 114232, 2020.
[9] Z.N. Pan, T. Yu*, J. Li, K.P. Qu, L.P. Chen, B. Yang, and W.X. Guo. ‘Stochastic transactive control for electric vehicle aggregators coordination: A decentralized approximate dynamic programming approach’, IEEE Transactions on Smart Grid. vol. 11, no. 5, pp. 4261-4277, 2020.
[10] Y.X. Chen, K.P. Qu, T. Yu*, B. Yang, X.S. Zhang, C.F. Lan. ‘Multi-timescale and multi-objective power dispatch strategy incorporating air pollutant temporal and spatial distribution control’, Journal of Cleaner Production. vol. 253, 119453, 2020.
[11] Z.N. Pan, T. Yu*, Jie. Li, B. Yang. ‘Risk-averse real-time dispatch of integrated electricity and heat system using a modified approximate dynamic programming approach’, Energy, vol. 198, 117347, 2020.
[12] X.S. Zhang, Z. Xu*, T. Yu, B. Yang, ‘Optimal mileage based AGC dispatch of a GenCo’, IEEE Transactions on Power Systems, vol. 35, no. 4, pp. 2516-2526, 2020.
<2019>
[1] B. Yang, T. Yu, X.S. Zhang*, H.F. Li, H.C. Shu, Y.Y. Sang, and L. Jiang, ‘Dynamic leader based collective intelligence for maximum power point tracking of PV systems affected by partial shading condition’, Energy Conversion and Management. vol. 179, pp. 286-303, 2019.
[2] B. Yang, J.T. Wang, X.S. Zhang*, M.T. Zhang, H.C. Shu, S.N. Li, T.Y. He, L. Yang, and T. Yu, ‘MPPT design of centralized thermoelectric generation system using adaptive compass search under non-uniform temperature distribution condition’, Energy Conversion and Management. vol. 199, 111991, 2019.
[3] B. Yang, L.E. Zhong, T. Yu, H.F. Li, X.S. Zhang*, H.C. Shu, Y.Y. Sang, and L. Jiang, ‘Novel bio-inspired memetic salp swarm algorithm and application to MPPT for PV systems considering partial shading condition’, Journal of Cleaner Production. vol. 215, pp. 1203-1222, 2019.
[4] B. Yang, J.B. Wang, Y.Y. Sang*, L. Yu, H.C. Shu, S.N. Li, T.Y. He, L. Yang, X.S. Zhang, T. Yu, ‘Applications of supercapacitor energy storage systems in microgrid with distributed generators via passive fractional-order sliding-mode control’, Energy, vol. 187, 115905, 2019.
[5] X.S. Zhang, S.N. Li, T.Y. He, B. Yang*, T. Yu, H.F. Li, L. Jiang, L.M. Sun. ‘Memetic reinforcement learning based maximum power point tracking design for PV systems under partial shading condition’, Energy. vol. 174, pp. 1079-1090, 2019.
[6] Y.X. Chen, T. Yu*, B. Yang, X.S. Zhang, and K.P. Qu. ‘Many-objective optimal power dispatch strategy incorporating temporal and spatial distribution control of multiple air pollutants’, IEEE Transactions on Industrial Informatics. vol. 15, no. 9, pp. 5309-5319, 2019.
[7] J.W. Chen, T. Yu*, Y. Xu, X.H. Cheng, B. Yang, and B.M. Zhen. ‘Fast analytical method for reliability evaluation of electricity-gas integrated energy system considering dispatch strategies’, Applied Energy. vol. 242, pp. 260-272, 2019.
<2018>
[1] B. Yang, T. Yu*, H.C. Shu, J. Dong, and L. Jiang, ‘Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers’, Applied Energy. vol. 210, pp. 711-723, 2018.
[2] B. Yang, T. Yu*, H.C. Shu, X.S. Zhang, K.P. Qu, L. Jiang ‘Democratic joint operations algorithm for optimal power extraction of PMSG based wind energy conversion system’, Energy Conversion and Management. vol. 159, pp. 312-326, 2018.
[3] B. Yang, T. Yu*, H.C. Shu, D.N. Zhu, F. Zeng, Y.Y. Sang, and L. Jiang, ‘Perturbation observer based fractional-order PID control of photovoltaics inverters for Solar energy harvesting via Yin-Yang-Pair optimization’, Energy Conversion and Management. vol. 171, pp. 170-187, 2018.
[4] B. Yang, T. Yu*, H.C. Shu, Y.M. Zhang, J. Chen, Y.Y. Sang, and L. Jiang, ‘Passivity-based sliding-mode control design for optimal power extraction of a PMSG based variable speed wind turbine’, Renewable Energy, vol. 119, pp. 577-589, 2018.
[5] X.S. Zhang, Q. Li, T. Yu*, and B. Yang. ‘Consensus transfer Q-learning for decentralized generation command dispatch based on virtual generation tribe’, IEEE Transactions on Smart Grid. vol. 9, no. 3, pp. 2152-2165, 2018.
[6] K.P. Qu, T. Yu*, L.N. Huang, B. Yang, X.S. Zhang. ‘Decentralized optimal multi-energy flow of large-scale integrated energy systems in a carbon trading market’, Energy, vol. 149, pp. 779-791, 2018.
[7] X.S. Zhang, T. Yu*, Z.N. Pan, B. Yang, and T. Bao, ‘Lifelong learning for complementary generation control of interconnected power grids with high-penetration renewables and EVs’, IEEE Transactions on Power Systems, vol. 33, no. 4, pp. 4097-4110, 2018.
<2017>
[1] B. Yang, X.S. Zhang, T. Yu*, H.C. Shu, and Z.H. Fang, ‘Grouped grey wolf optimizer for maximum power point tracking of doubly-fed induction generator based wind turbine’, Energy Conversion and Management. vol. 133, pp. 427-443, 2017.
[2] X.S. Zhang, Y.X. Chen, T. Yu*, B. Yang, K.P. Qu, and S.M. Mao. ‘Equilibrium-inspired multiagent optimizer with extreme transfer learning for decentralized optimal carbon-energy combined-flow of large-scale power systems’, Applied Energy. vol. 189, pp. 157-176, 2017.
[3] X.S. Zhang, T. Bao, T. Yu*, B. Yang，and C.J. Han. ‘Deep transfer Q-learning with virtual leader-follower for supply-demand Stackelberg game of smart grid’, Energy, vol. 133, pp. 348-365, 2017.
[4] X.S. Zhang, T. Yu*, B. Yang, and L.F. Cheng. ‘Accelerating bio-inspired optimizer with transfer reinforcement learning for reactive power optimization’, Knowledge-Based Systems. vol. 116, pp. 26-38, 2017.
【学术兼职】
(1)中国电工技术学会第八届理事会青年委员
(2)中国电力科学研究院有限公司期刊中心青年专家团团员
(3)EI期刊《电力系统保护与控制》编委
(4)中文核心期刊《电测与仪表》编委
(5)中文核心期刊《电力建设》青年编委
(6)中文核心期刊《供用电》青年编委
(7)中文核心期刊《中国电力》青年编委
(8)中文核心期刊《南方电网技术》青年编委
(9)中文核心期刊《热力发电》青年编委
(10) 中文核心期刊《电力工程技术》青年编委
(11)中国科技核心期刊《发电技术》编委
(12)中科院一区SCI期刊《Protection and Control of Modern Power Systems》编委
(13) 中科院二区SCI期刊《Journal of Modern Power Systems and Clean Energy》编委
(14) 中科院三区SCI期刊《Processes》编辑
(15)EI期刊《Energy Engineering》编委
(16)EI期刊《Algorithms》编辑
(17)EI期刊《Energy Conversion and Economics》青年编委
(18)EI期刊《Chinese Journal of Electrical Engineering》青年编委
(19)中国科技核心期刊《山东电力技术》青年编委
(20)IEEE PES智能电网与新技术委员会(中国) 能源信息社会系统技术分委会与动态电力系统人工智能应用技术分委会 常务理事
(21)云南省电力行业协会高级咨询专家
(22)云南省系统工程学会理事
(23)EI收录IEEE国际会议ICPST 2023-2026大会主席, AIAAT 2026大会主席
(24)昆明理工大学-上海科梁信息科技股份有限公司联合研究中心(校企联合实验室) 主任，昆明理工大学-广州水沐青华科技有限公司联合研究中心(校企联合实验室)主任
(25)中国电工技术学会电力系统控制与保护委员会第四届委员会 委员
(26)IEEE与EI收录国际会议大会主旨报告人：CEECT2025(重庆)、ICGEPS2026(杭州) 、IPEE2026(槟城) 、CEECT2026(曼谷)
【教书育人】
<研究生>
(1) 国家留学基金委全额公派资助博士奖学金(英国利物浦大学)1人次
(2) 研究生国家奖学金19人次,云南省政府奖学金8人次, 力勤奖学金5人次,长江电力奖学金1人次
(3) 中国科协青年科技人才培育工程博士生专项计划2人次
(4) 全国大学生英语竞赛国家二等奖3项
(5) “华为杯”中国研究生数学建模竞赛国家二等奖3项，三等奖4项
(6) “电工杯”数学建模大赛国家一等奖3项，二等奖6项，三等奖8项
(7) 云南省大学生节能减排社会实践与科技竞赛省赛一等奖1项，二等奖2项，三等奖6项
(8) 云南省“互联网+”大学生创新创业大赛省赛银奖1项
(9) 昆明理工大学研究生拔尖创新人才项目5项
(10) 昆明理工大学十佳研究生年度人物2人次
<本科生>
(1) 全国大学生英语竞赛国家二等奖2项，三等奖4项
(2) “电工杯”数学建模大赛国家一等奖1项，三等奖2项“
(3) 高教社杯”全国大学生数学建模竞赛云南省二等奖2项, 三等奖2项
(4) 云南省“互联网+”大学生创新创业大赛省赛金奖1项
(5) 大学生创新创业训练计划省级立项5项
(6) 云南省大学生节能减排社会实践与科技竞赛省赛二等奖1项
【学术合作】
本人与利物浦大学(英国)、思克莱德大学(英国) 、加州大学尔湾分校(美国) 、 新南威尔士大学(澳大利亚)、奥克兰理工大学(新西兰)、香港大学、香港理工大学、华南理工大学、华中科技大学、中国地质大学(武汉) 、湖南大学、中南大学、天津大学、上海交通大学、东北电力大学、深圳大学、东北大学、中国农业大学、山东大学、四川大学等国内外知名院校有良好的长期合作。研究生表现优异者可推荐至上述高校进一步深造/学术交流/联合培养。
