赵浩然

山东大学 | 教授

课题组Wiki: 内网 外网

文章

  1. Bian F, You S, Zhao H, et al. Energy, exergy, economy analysis, and multi‐objective optimization of a novel integrated energy system by combining artificial neural network and whale optimization algorithm[J]. International Journal of Energy Research, 2022, 46(15): 24179-24196.
  2. 卞飞宇,陈常念,赵浩然,于泽庭.太阳能驱动的氢-冷-热-电综合能源系统性能分析[J].供用电,2022,39(01):17-23.
  3. Ma Y, Zheng T, He J, Miao F, Wang P and Zhao H. Plant Control Parameter Identification of Renewable Energy Station Based on Improved Least Square Method[C]//2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2022: 631-636.
  4. Z. Cui, J. Chen, C. Liu, H. Zhao. Time-domain continuous power flow calculation of electricity–gas integrated energy system considering the dynamic process of gas network[J]. Energy Reports, 2022, 8: 597-605.
  5. 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.
  6. Sun X, Chen J, Zhao H, et al. Sequential Disaster Recovery Strategy for Resilient Distribution Network Based on Cyber–Physical Collaborative Optimization[J]. IEEE Transactions on Smart Grid, 2022, 14(2): 1173-1187.
  7. Chen C, Wang J, Zhao H, et al. Entropy Flow Analysis of Thermal Transmission Process in Integrated Energy System Part I: Theoretical Approach Study[J]. Processes, 2022, 10(9): 1717.
  8. Chen C, Wang J, Zhao H, et al. Entropy Flow Analysis of Thermal Transmission Process in Integrated Energy System Part II: Comparative Case Study[J]. Processes, 2022, 10(9): 1719.
  9. Chen C, Zhao H, Liu C, et al. Transient Heat Transfer Characteristics in a Flat Plate Heat Sink with Mini-Channels for Cooling High Heat Flux IGBT[J]. Micromachines, 2022, 13(9): 1417.
  10. 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,2022,46(07):2619-2631.
  11. Li F, Zhu J, Yu L, Bu S, Zhao H, et al. An Imbalance-Status-Enabled Autonomous Global Power-Sharing Scheme for Solid-State Transformer Interconnected Hybrid AC/DC Microgrids[J]. IEEE Transactions on Smart Grid, 2022, 14(3): 1750-1762.
  12. He J, Meng L, Zhao H, et al. Development of GPU-Based Efficient Simulation Module of Wind Farm[C]//2022 7th International Conference on Power and Renewable Energy (ICPRE). IEEE, 2022: 849-855.
  13. Wang M, Zhao H, Tian H, et al. Distributed Collaborative Optimization of a Multi-Region Integrated Energy System Based on Edge Computing Unit[J]. Frontiers in Energy Research, 2022, 10: 846006.
  14. Weihao H, Anvari-Moghaddam A, Zhao H, et al. Planning and Operation of Hybrid Renewable Energy Systems[J]. Frontiers in Energy Research, 2022, 10: 945794.
  15. 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.
  16. 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,2022,46(11):4288-4300.
  17. Tian H, Zhao H, Liu C, et al. Iterative linearization approach for optimal scheduling of multi-regional integrated energy system[J]. Frontiers in Energy Research, 2022, 10: 208.
  18. Tian H, Zhao H, Liu C, et al. A dual-driven linear modeling approach for multiple energy flow calculation in electricity–heat system[J]. Applied Energy, 2022, 314: 118872.
  19. Ma Y, Zhao H, Wang P, et al. Parameter Identification and Stability Analysis of DFIG[C]//2022 International Conference on Power Energy Systems and Applications (ICoPESA). IEEE, 2022: 390-395.

专利

    已授权:
  1. 吕占鳌;赵浩然;风电场风力发电机载荷优化控制方法及系统,2022-03-18,中国,202010500123.7
  2. 刘帅;王小文;赵浩然;孙波;邢兰涛;刘龙成;王瑞琪;机组组合及调度分布式事件触发强化学习优化方法及系统,2022-05-31,中国,202210274572.3
  3. 赵浩然;王梦雪;田航;基于边缘计算的多区域综合能源系统分布式协同优化方法,2022-06-10,中国,202110774332.5
  4. 刘帅;王誉杰;孙波;赵浩然;周飞龙;杨耀帅;一种考虑光热-水势综合储能侧的分布式发电调度方法,2022-07-26,中国,202210384407.3
  5. 周前;汪成根;韩明哲;赵浩然;吕占鳌;侯潇;殷明慧;卜京;适用于长时域风速波动的风电场动态等值建模方法,2022-09-30,中国,201810765012.2
  6. 已受理:
  7. 陈健;孙秀川;赵浩然;张文;基于信息物理协同优化的弹性配电网灾后恢复策略,2022-01-21,中国,202210073634.4 
  8. 刘帅;周飞龙;王瑞琪;王小文;赵浩然;孙波;基于多智能体强化学习的供能系统及其运行优化方法,2022-03-22,中国,202210281045.5
  9. 赵浩然;信思笑;田航;黄晓莉;钱晓熠;刘帅;基于集成学习的综合能源系统多能潮流计算方法及系统,2022-07-18,中国,202210841297.9 

软著

  1. 赵浩然;王梦雪;田航;PSASP向PowerFactory转换软件,2022-03-18,中国
  2. 赵浩然;赵轩辉;李冰;张坤鹏;数字风电场仿真软件,2022-08-15,中国

发明获奖

  1. 获2022年度日内瓦发明展会银奖2项(风电机组数字孪生、风电场数字孪生)
  2. 获2022年度中国仪器仪表学会技术发明三等奖1项(综合能源系统优化运行关键技术及应用)