近年代表性期刊论文,会议论文与书章节未列出。 [1]Wang P, Ma Y, Zhao H*. Online assessment of multi-parameter stability region and stability margin of wind power plants[J]. International Journal of Electrical Power & Energy Systems, 2024, 155: 109413. [2]马悦鑫,王鹏*,赵浩然,贺敬,等.基于分段仿射阻抗模型的电压源变流器小扰动稳定域在线构造[J],中国电机工程学报,2023. [3]Ma H, Liu C*, Zhao H, et al. A novel analytical unified energy flow calculation method for integrated energy systems based on holomorphic embedding[J]. Applied Energy, 2023, 344: 121163. [4]Huang X, Tian H, Zhao H*, et al. Digital twins of multiple energy networks based on real-time simulation using holomorphic embedding method, Part I: Mechanism-driven modeling[J]. International Journal of Electrical Power & Energy Systems, 2023, 154: 109419. [5]Tian H, Zhao H*, Li H, et al. Digital twins of multiple energy networks based on real-time simulation using holomorphic embedding method, Part II: Data-driven simulation[J]. International Journal of Electrical Power & Energy Systems, 2023, 153: 109325. [6]Liu H, Liu C, Zhao H, et al. Non-intrusive Load Monitoring Method for Multi-Energy Coupling Appliances Considering Spatio-Temporal Coupling[J]. IEEE Transactions on Smart Grid, 2023. [7]王梦雪,赵浩然,刘春阳等.基于碳熵指标的电-热互联综合能源系统碳轨迹追踪方法[J].电力系统自动化,2023,47(09):13-22. [8]Tian H, Zhao H*, Li H, et al. Interval-probabilistic Electricity-heat-gas Flow Calculation by Dual-level Surrogate Structure[J].IEEE Transactions on Smart Grid, 2023. [9]王金龙,赵浩然,王鹏,罗嘉,孙开宁.基于阻抗法的并网逆变器小信号稳定功率极限分析与提高[J].电力系统保护与控制,2022,50(18):18-28. [10]马钊,张恒旭,赵浩然等.双碳目标下配用电系统的新使命和新挑战[J].中国电机工程学报,2022,42(19):6931-6945. [11]刘俊伟,刘春阳,赵浩然*,等.基于知识引导深度神经网络的电-热综合能源系统状态估计[J].电网技术. [12]王俊杰,赵浩然*,刘春阳,陈常念,等.基于熵指标的热能输动态特性建模与仿真分析[J].中国电机工程学报. [13]LI B, ZHAO H R, ZHANG K P. A heterogeneous accelerated simulation framework for wind field dynamic model [J]. Iet Renewable Power Generation. [14]Mengxue Wang, Haoran Zhao, Hang Tian and Qiuwei Wu.Distributed Collaborative Optimization of Multi-region Integrated Energy System Based on Edge Computing Unit[J]. Frontiers in Energy Research [15]程建东,赵浩然,韩明哲.市场机制下推动风电参与电力市场的实践总结与启示[J].电网技术 [16]Tian H, Zhao H, Liu C, Chen J. Iterative Linearization Approach for Optimal Scheduling of Multi-regional Integrated Energy System[J]. Frontiers in Energy Research, 2021: 208. [17]Tian H, Zhao H, Liu C, Chen J, Wu Q, Terzija V. A dual-driven linear modeling approach for multiple energy flow calculation in electricity–heat system[J]. Applied Energy, 2022, 314: 11887 [18]Guo Y, Gao H, Wu Q, et al. Enhanced voltage control of VSC-HVDC-connected offshore wind farms based on model predictive control[J]. IEEE Transactions on Sustainable Energy, 2017, 9(1): 474-487. [19]Gao S, Zhao H, Wang P, et al. Comparative Study of Symmetrical Controlled Grid-Connected Inverters[J]. IEEE Transactions on Power Electronics, 2021, 37(4): 3954-3968. [20]罗嘉,赵浩然,高术宁,王鹏,孙开宁.基于显式模型预测控制和改进虚拟阻抗的双馈风机低电压穿越策略[J].电网技术,2021,45(05):1716-1723. [21]Zhao H, Lin Z, Wu Q, et al. Model predictive control based coordinated control of multi-terminal HVDC for enhanced frequency oscillation damping[J]. International Journal of Electrical Power & Energy Systems, 2020, 123: 106328. [22]Kim C, Gui Y, Zhao H, et al. Coordinated LVRT control for a permanent magnet synchronous generator wind turbine with energy storage system[J]. Applied Sciences, 2020, 10(9): 3085. [23]陈健,林咨良,赵浩然,吴秋伟,宋关羽.考虑信息耦合的电–气综合能源系统韧性优化方法[J].中国电机工程学报,2020,40(21):6854-6864. [24]王梦雪,赵浩然,田航,陈健,吴秋伟.典型综合能源系统仿真与规划平台综述[J].电网技术,2020,44(12):4702-4712. [25]Li B, Zhao H, Gao S, et al. Digital real-time co-simulation platform of refined wind energy conversion system[J]. International Journal of Electrical Power & Energy Systems, 2020, 117: 105676. [26]Luo J , Zhao H , Gao S , et al. A Low Voltage Ride Through Strategy of DFIG based on Explicit Model Predictive Control [J]. International Journal of Electrical Power & Energy Systems. 2020,119, 105783. [27]Gao S, Zhao H, Gui Y, et al. Impedance analysis of voltage source converter using direct power control[J]. IEEE Transactions on Energy Conversion, 2020, 36(2): 831-840. [28]Gao S, Zhao H, Gui Y, et al. An improved direct power control for doubly fed induction generator[J]. IEEE Transactions on Power Electronics, 2020, 36(4): 4672-4685. [29]Gao S, Zhao H, Gui Y, et al. A novel direct power control for DFIG with parallel compensator under unbalanced grid condition[J]. IEEE Transactions on Industrial Electronics, 2020, 68(10): 9607-9618. [30]Huang S, Wu Q, Zhao H, et al. Distributed optimization-based dynamic tariff for congestion management in distribution networks[J]. IEEE Transactions on Smart Grid, 2017, 10(1): 184-192. [31]Zhao H, Wu Q, Huang S, et al. Hierarchical control of thermostatically controlled loads for primary frequency support[J]. IEEE Transactions on Smart Grid, 2016, 9(4): 2986-2998. [32]Guo Y, Gao H, Wu Q, et al. Enhanced voltage control of VSC-HVDC-connected offshore wind farms based on model predictive control[J]. IEEE Transactions on Sustainable Energy, 2017, 9(1): 474-487. [33]Zhao H, Wu Q, Wang J, et al. Combined active and reactive power control of wind farms based on model predictive control[J]. IEEE Transactions on Energy Conversion, 2017, 32(3): 1177-1187. [34]Zhao H, Wu Q, Huang S, et al. Fatigue load sensitivity-based optimal active power dispatch for wind farms[J]. IEEE Transactions on sustainable energy, 2017, 8(3): 1247-1259. [35]Zhao H, Wu Q, Guo Q, et al. Coordinated voltage control of a wind farm based on model predictive control[J]. IEEE Transactions on Sustainable Energy, 2016, 7(4): 1440-1451. [36]Huang S, Wu Q, Zhao H, et al. Geometry of power flows and convex-relaxed power flows in distribution networks with high penetration of renewables[J]. Energy Procedia, 2016, 100: 1-7. [37]Zhao H, Wu Q, Guo Q, et al. Distributed model predictive control of a wind farm for optimal active power controlpart I: Clustering-based wind turbine model linearization[J]. IEEE transactions on sustainable energy, 2015, 6(3): 831-839. [38]Zhao H, Wu Q, Guo Q, et al. Distributed model predictive control of a wind farm for optimal active power controlpart II: Implementation with clustering-based piece-wise affine wind turbine model[J]. IEEE Transactions on Sustainable Energy, 2015, 6(3): 840-849. [39]Zhao H, Wu Q, Rasmussen C N, et al. ${\cal L} _1 $ adaptive speed control of a small wind energy conversion system for maximum power point tracking[J]. IEEE Transactions on Energy Conversion, 2014, 29(3): 576-584. [40]Huang S, Wu Q, Cheng L, et al. Uncertainty management of dynamic tariff method for congestion management in distribution networks[J]. IEEE Transactions on Power Systems, 2016, 31(6): 4340-4347. [41]Zhao H, Wu Q, Guo Q, et al. Optimal active power control of a wind farm equipped with energy storage system based on distributed model predictive control[J]. IET Generation, Transmission & Distribution, 2016, 10(3): 669-677. [42]Korompili A, Wu Q, Zhao H. Review of VSC HVDC connection for offshore wind power integration[J]. Renewable and Sustainable Energy Reviews, 2016, 59: 1405-1414. [43]Zhao H, Wu Q, Hu S, et al. Review of energy storage system for wind power integration support[J]. Applied energy, 2015, 137: 545-553. [44]Zhao H, Wu Q, Margaris I, et al. Implementation and validation of IEC generic type 1A wind turbine generator model[J]. International Transactions on Electrical Energy Systems, 2015, 25(9): 1804-1813. [45]Zhao H, Wu Q, Wang C, et al. Fuzzy logic based coordinated control of battery energy storage system and dispatchable distributed generation for microgrid[J]. Journal of Modern Power Systems and Clean Energy, 2015, 3(3): 422-428. |