Optimal Dispatch of Coal-Wind-Hydrogen Integrated System Considering Wind Power Uncertainty

被引:2
|
作者
Wu, Yuhan [1 ]
Wang, Zhenshu [1 ]
Song, Wenhao [1 ]
Zhao, Weitu [1 ]
机构
[1] Shandong Univ, Sch Elect Engn, Jinan, Peoples R China
关键词
hydrogen energy storage; non-parametric kernel; density estimation; optimal dispatch; uncertainty; wind power;
D O I
10.1109/ICPSAsia55496.2022.9949674
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The randomness of wind power output leads to a very weak absorption capacity, and there is a serious phenomenon of wind abandonment. The construction of transferable new energy consumption equipment is a possible solution. This paper proposes an optimal dispatch strategy for a coal-wind-hydrogen integrated energy system considering new energy consumption equipment. Wind power uncertainty is described using nonparametric kernel density estimation (KDE). On this basis, shortterm dispatch economic optimization is carried out with the goal of maximizing the overall benefit of the composite coal-windhydrogen integrated energy system that produces electricity and hydrogen. The simulation results show that when considering hydrogen energy storage, the phenomenon of wind curtailment is significantly improved, which improves the operating economy of conventional units and storage equipment, and improves the economy of system operation while ensuring the new energy storage capacity. This paper provides a new perspective for the formulation of economic operation strategy of coal-windhydrogen integrated energy system including wind farms and hydrogen production equipment.
引用
收藏
页码:369 / 373
页数:5
相关论文
共 50 条
  • [41] Two-stage flexible economic dispatch for power system considering wind power uncertainty and demand response
    Duan, Jiandong
    Liu, Fan
    Yang, Yao
    Jin, Zhuanting
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2022, 44 (01) : 650 - 668
  • [42] Wind power system reliability and maintenance optimization considering turbine and wind uncertainty
    Tian, Zhigang
    Wang, Han
    JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING, 2022, 28 (01) : 252 - 273
  • [43] Optimal dispatch strategy for integrated energy systems with CCHP and wind power
    Li, Guoqing
    Zhang, Rufeng
    Jiang, Tao
    Chen, Houhe
    Bai, Linquan
    Cui, Hantao
    Li, Xiaojing
    APPLIED ENERGY, 2017, 192 : 408 - 419
  • [44] A New Method for Optimal Dispatch Considering System Flexibility in Wind Farm
    Gou, Luyang
    Li, Yiliang
    Tong, Zheng
    Li, Qian
    Zhang, Anan
    2021 3RD ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2021), 2021, : 362 - 366
  • [45] Light robustness dispatch model for wind power integrated power system
    Ji F.
    Cai X.
    Wang C.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2016, 36 (17): : 4600 - 4608
  • [46] Practical economic dispatch considering wind turbine uncertainty
    Rezai, Hamid Reza
    Mohammad, Sirus
    Bagheri, Mahmod Zade
    Moghimi, Rohalla
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2015, 29 (05) : 2159 - 2167
  • [47] Robust Active Power Dispatch Model of Wind Integrated Power System
    Ji, Feng
    Zhang, Wei
    Cai, Xingguo
    2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2015, : 1502 - 1507
  • [48] Optimal Scheduling Strategy for Power Systems Containing Offshore Wind Farms Considering Wind Power Uncertainty
    Zhang, Jinhua
    Zhu, Yuerong
    Zhao, Zhengyang
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2023, 32 (05)
  • [49] Decentralized robust dispatch for multi-area AC/DC system considering wind power uncertainty
    Du, Gang
    Zhao, Dongmei
    Liu, Xin
    Wu, Zhiqiang
    Li, Chao
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2021, 15 (19) : 2710 - 2721
  • [50] Stochastic Optimal Dispatch Of Power System With Multiple Wind Farms
    Wang, Shuang
    Yang, Hongming
    Zuo, Shuang
    Xu, Wenjun
    Zhang, Bin
    SMART MATERIALS AND INTELLIGENT SYSTEMS, PTS 1 AND 2, 2011, 143-144 : 414 - +