仪忠凯 - 哈尔滨工业大学 - 电气工程及自动化学院

个人简介

副教授，目前就职于哈尔滨工业大学电气学院-电力系统研究所，主要从事优化理论/机器学习在电力系统运行调控领域的研究，发表一区和CCF A类论文20余篇，合著专著1部，参编团队标准2项，主持国家重点研发计划任务/中国南方电网公司科技项目/中央高校基本科研业务项目，参与国家科技支撑计划、国家重点研发计划、国网/南网/阿里巴巴科技项目等14项，在电力系统/电力市场优化领域研发的产品曾在广州、中山等地区电网示范应用。曾在阿里巴巴达摩院担任机器学习算法专家，入选阿里巴巴先进技术人才培养项目“阿里星”计划，任国际动力与可再生能源会议电力系统技术委员会主任委员，Processes期刊的客座编辑等，担任IEEE PES Transactions期刊的评审专家。曾荣获清华大学优秀博士学位论文，多个国际会议最佳论文和核心期刊年度优秀论文，国际神经信息处理系统竞赛NeurIPS Citylearn Challenge冠军，被中国日报等多家媒体刊登报导。工作经历 2023.05~至今，哈尔滨工业大学-电气工程及自动化学院，副教授 2022.01~2023.05，阿里巴巴达摩院-决策智能实验室，专家学习经历 2018.09~2021.12，清华大学，电气工程专业，工学博士 2016.09~2018.07，哈尔滨工业大学，电气工程专业，工学硕士 2012.09~2016.07，哈尔滨工业大学，电气工程及其自动化专业，本科学士代表性荣誉奖励国际神经信息处理系统竞赛-NeurIPS Citylearn Challenge冠军，2022.10 中国电力企业联合会-信创“大比武”三等奖，2022.07 阿里巴巴先进技术人才培养项目-“阿里星”计划，2021.09 清华大学优秀博士学位论文，2022.06 清华大学优秀博士毕业生，2022.06 教育部博士研究生国家奖学金，2020.12，2019.12 ICPRE等国际会议最佳论文/最佳报告，2021.09 哈尔滨工业大学优秀硕士学位论文，2018.07 《电网技术》年度优秀论文，2019.12 《电力建设》年度优秀论文，2019.12 清华大学校综合优秀一等奖，本科生国家奖学金，哈工大三好标兵等

研究领域

（一）灵活性资源与虚拟电厂针对海量灵活性资源给电力系统带来的“维度灾”难题，提出规模化灵活性资源虚拟电厂聚合等值、调度控制、协调运营的系统性理论方法，为挖掘新型电力系统中大规模柔性资源的灵活性提供了技术支撑。（二）电力系统/综合能源系统运行调控研究电力系统/电-热联供系统的运行调控策略，涉及分布式、多主体、数据驱动等多类方法应用场景，实现电力系统/综合能源系统在具有强不确定性的高风高寒环境中安全经济运行。（三）机器学习与优化融合的双引擎决策研究基于强化学习的电力系统调控决策方法，涉及强化学习安全性、泛化性、加速训练等多个领域，突破机器学习与优化理论互补的双引擎电力决策技术。

近期论文

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Yi, Z., Xu, Y., & Wu, C. Model-Free Economic Dispatch for Virtual Power Plants: An Adversarial Safe Reinforcement Learning Approach[J]. IEEE Transactions on Power Systems, early access, 2023, doi: 10.1109/TPWRS.2023.3289334. Yi, Z., Wang, X., Yang, C., Yang, C., Niu, M., & Yin, W. Real-time Sequential Security-Constrained Optimal Power Flow: A Hybrid Knowledge-Data-Driven Reinforcement Learning Approach[J]. IEEE Transactions on Power Systems, 2023, doi: 10.1109/TPWRS.2023.3262843. Yi, Z., Xu, Y., Wang, X., Gu, W., Sun, H., Wu, Q., & Wu, C. An Improved Two-Stage Deep Reinforcement Learning Approach for Regulation Service Disaggregation in a Virtual Power Plant[J]. IEEE Transactions on Smart Grid, 2022, 13(4): 2844-2858. Yi, Z., Xu, Y., Wei, X., & Sun, H. Robust security constrained energy and regulation service bidding strategy for a virtual power plant[J]. CSEE Journal of Power and Energy Systems, 2022. Yi, Z., Xu, Y., Wang, H., & Sang, L. Coordinated operation strategy for a virtual power plant with multiple DER aggregators[J]. IEEE Transactions on Sustainable Energy, 2021, 12(4): 2445-2458. Yi, Z., Xu, Y., Gu, W., Yang, L., & Sun, H. Aggregate operation model for numerous small-capacity distributed energy resources considering uncertainty[J]. IEEE Transactions on Smart Grid, 2021, 12(5): 4208-4224. Yi, Z., Xu, Y., Gu, W., & Fei, Z.. Distributed model predictive control based secondary frequency regulation for a microgrid with massive distributed resources[J]. IEEE Transactions on Sustainable Energy, 2021, 12(2): 1078-1089. Yi, Z., Xu, Y., Zhou, J., Wu, W., & Sun, H. Bi-level programming for optimal operation of an active distribution network with multiple virtual power plants[J]. IEEE Transactions on Sustainable Energy, 2021, 11(4): 2855-2869. Yi, Z., Xu, Y., Gu, W., & Wu, W. A multi-time-scale economic scheduling strategy for virtual power plant based on deferrable loads aggregation and disaggregation[J]. IEEE Transactions on Sustainable Energy, 2020, 11(3): 1332-1346. Yi, Z., Xu, Y., Hu, J., Chow, M. Y., & Sun, H. Distributed, neurodynamic-based approach for economic dispatch in an integrated energy system[J]. IEEE Transactions on Industrial Informatics, 2020, 16(4): 2245-2257. Yi, Z., Xu, Y., & Wu, C. Improving operational flexibility of combined heat and power system through numerous thermal controllable residents aggregation[J]. International Journal of Electrical Power & Energy Systems, 2021, 130: 106841. Yi, Z., Xu, Y., & Sun, H. Self‐adaptive hybrid algorithm based bi‐level approach for virtual power plant bidding in multiple retail markets[J]. IET Generation, Transmission & Distribution, 2020, 14(18): 3762-3773. Yi, Z., Xu, Y., & Wu, W. Market clearing strategy for distribution system considering multiple power commodities offered by virtual power plant[J]. Automation of Electric Power Systems, 2019, 44(22): 143-151. Yi, Z., Xu, Y., & Li, Z. Optimal configuration of distributed heat source to promote the wind power penetration in combined heat and power system[J]. Journal of Renewable and Sustainable Energy, 2019, 11(3): 036302. Wu, C., Gu, W., & Yi, Z. Competitive Equilibrium Analysis for Renewables Integration in Dynamic Combined Heat and Power Trading Market[J]. IEEE Transactions on Power Systems, 2023. Sang, L., Xu, Y., Yi, Z., Yang, L., Long, H., & Sun, H.. Conservative Sparse Neural Network Embedded Frequency-Constrained Unit Commitment With Distributed Energy Resources[J]. IEEE Transactions on Sustainable Energy, 2023. Wu, C., Gu, W., Yi, Z., Chen, X., Shi, Z., & Luo, E. A multi-rate hybrid model for real-time iterative bidding coupled with power system dynamics[J]. Applied Energy, 2023, 337: 120864. Zhou, J., Sun, H., Xu, Y., Han, R., Yi, Z., Wang, L., & Guerrero, J. M. Distributed power sharing control for islanded single-/three-phase microgrids with admissible voltage and energy storage constraints[J]. IEEE Transactions on Smart Grid, 2021, 12(4): 2760-2775. Chang, X., Xu, Y., Gu, W., Sun, H., Chow, M. Y., & Yi, Z. Accelerated distributed hybrid stochastic/robust energy management of smart grids[J]. IEEE Transactions on Industrial Informatics, 2020, 17(8): 5335-5347. Wu, C., Gu, W., Luo, E., Chen, X., Lu, H., & Yi, Z. An economic cybernetic model for electricity market operation coupled with physical system dynamics[J]. Applied Energy, 2023, 335: 120764. Wu, C., Gu, W., Luo, E., Lu, H., Yi, Z., Yuan, X., & Zhao, J. Multi-energy offering strategies in coupled electricity-heat-gas markets[J]. CSEE Journal of Power and Energy Systems, 2023. Ran, X., Shang, J., Zhao, M., & Yi, Z. Improved Configuration Proposal for Axial Reluctance Resolver using 3-D Magnetic Equivalent Circuit Model and Winding Function Approach[J]. IEEE Transactions on Transportation Electrification, 2022. Wu, C., Wu, Z., Yi, Z., & Yang, L. Strategic bidding of gas-fired units with tanks in coupled electricity and natural gas markets[J]. Sustainable Energy, Grids and Networks, 2023, 34: 101021. Wu, C., Gu, W., Yi, Z., Lin, C., & Long, H. Non-cooperative differential game and feedback Nash equilibrium analysis for real-time electricity markets[J]. International Journal of Electrical Power & Energy Systems, 2023, 144: 108561. Wei, X., Amin, M. A., Xu, Y., Jing, T., Yi, Z., Wang, X., ... & Zhai, Y. Two-stage cooperative intelligent home energy management system for optimal scheduling[J]. IEEE Transactions on Industry Applications, 2022, 58(4): 5423-5437. 仪忠凯, 梁寿愚, 王伟, 蒋蔚, 杨程, 辛焱. 一种融合示教学习和安全强化学习的电力系统调度决策方法[J]. 中国电机工程学报, 2023: 1-12. 仪忠凯, 许银亮, 吴文传.考虑虚拟电厂多类电力产品的配电侧市场出清策略[J]. 电力系统自动化, 2020, 44(22): 143-151. 仪忠凯, 李志民.计及热网储热和供热区域热惯性的热电联合调度策略[J]. 电网技术, 2018, 42(05): 1378-1384. 朱誉, 仪忠凯, 陆秋瑜等.基于典型场景集的虚拟电厂与配电网协同定价策略[J]. 电力建设, 2019, 40(06): 74-85.

学术兼职

IEEE/IEEE PES/IEEE PES 风电与光伏委员会，会员/委员中国电机工程学会/中国电工技术学会/中国计算机学会，会员 IEEE PES Transactions/IEEE TII/IEEE TNN/IET RPG/IET GTD/APEN/CSEE/MPCE/IJEPES/etc，Reviewer 电机/电自/电网/可再生能源/电力建设等期刊，评阅人 Processes，Guest Editor IEEE PES APPEEC国际会议，电力系统分析分会场主席 ICPRE，电力系统技术委员会主任委员