Two-stage stochastic scheduling model of wind-photovoltaic-storage providing flexible ramp capacity

被引:0
|
作者
Huang, Ruanming [1 ]
He, Xinqin [2 ]
Zhao, Jingjing [2 ]
Fei, Fei [1 ]
Guo, Mingxing [1 ]
机构
[1] State Grid Shanghai Econ Res Inst, Shanghai, Peoples R China
[2] Shanghai Univ Elect Power, Elect Power Engn, Shanghai, Peoples R China
关键词
D O I
10.1088/1755-1315/467/1/012095
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 increasing penetration of renewable energy resources in power system has contributed to the increasing demand for operation flexibility. To address the deficiency of flexibility in wind-photovoltaic-storage hybrid system with deepening penetration of intermittent and uncertain renewable energy resources, this paper proposes emerging flexible resources including wind,photovoltaic and energy storage providing flexible ramp capacity to improve flexibility. Considering the uncertainty of load and intermittent generation, the wind-photovoltaic-storage providing flexible ramp capacity are integrated into a two-stage stochastic dispatch model including 1h day-ahead unit commitment and 15min real-time economic dispatch. To test the efficiency of the proposed model, simulation are carried out on a modified IEEE 118-bus with 54 thermal units, the results indicate that wind-photovoltaic-storage providing flexible ramp capacity can effectively alleviate the deficiency of operation flexibility, and improve the overall economic benefit.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Two-Stage Stochastic Optimal Scheduling Model Considering Flexible Load
    Wang H.
    Qi Y.
    Wang C.
    Huang Y.
    Wang Y.
    Dianwang Jishu/Power System Technology, 2018, 42 (11): : 3669 - 3675
  • [2] Two-stage optimal scheduling of virtual power plant with wind-photovoltaic-hydro-storage considering flexible load reserve
    Chen, Yuge
    Du, Qianyun
    Wu, Mengkai
    Yang, Li
    Wang, Huifang
    Lin, Zhenzhi
    ENERGY REPORTS, 2022, 8 : 848 - 856
  • [3] A two-stage distributed stochastic planning method for source-grid-load-storage flexibility resources considering flexible ramp capacity
    Wang, Jinpeng
    Zeng, Pingliang
    Yin, Lulu
    Dong, Yanfei
    Liu, Xiaofang
    Yang, Ruopu
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 160
  • [4] A two-stage stochastic programming model for the parallel machine scheduling problem with machine capacity
    Al-Khamis, Talal
    M'Hallah, Rym
    COMPUTERS & OPERATIONS RESEARCH, 2011, 38 (12) : 1747 - 1759
  • [5] Optimal design and scheduling of integrated wind-photovoltaic-storage hydropower cogeneration system
    Sun, Qichao
    Nie, Meihua
    Wu, Lianying
    Hu, Yangdong
    Huagong Jinzhan/Chemical Industry and Engineering Progress, 2024, 43 (09): : 4882 - 4891
  • [6] Two-stage stochastic multi-criteria group decision making for wind-photovoltaic-hydropower scheduling
    Liu, Weifeng
    Guo, Xuning
    Xing, Xigang
    Jiang, Chenhui
    Li, Jieyu
    Lu, Qingwen
    Li, Yunling
    ENERGY REPORTS, 2024, 12 : 3732 - 3742
  • [7] A Two-stage Stochastic Programming Model for Outpatient Appointment Scheduling
    Ma Shuang
    Chen Songlin
    Cai Xiaotian
    2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2019, : 79 - 83
  • [8] Two-stage robust optimal capacity configuration of a wind, photovoltaic, hydropower, and pumped storage hybrid energy system
    Zhou, Hong
    Lu, Liang
    Shen, Li
    Zhang, Peng
    Wen, Yiyu
    Jiang, Hongyu
    Yang, Shiyou
    FRONTIERS IN ENERGY RESEARCH, 2023, 11
  • [9] Two-stage Stochastic Model of Unit Commitment with Wind Farm
    Zhang Ningyu
    Liu Jiankun
    Zhou Qian
    2014 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2014,
  • [10] Integrated wind-photovoltaic-storage stochastic planning model considering time-varying characteristics in distribution network
    Shi Y.
    Liu J.
    Xu S.
    Jiang Z.
    Gao H.
    Liu J.
    Lü L.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2019, 47 (10): : 23 - 32