GENERATION-LOAD-STORAGE COOPERATIVE OPTIMIZATION SCHEDULING OF COMBINED HEAT AND POWER SYSTEM CONSIDERING WIND POWER UNCERTAINTY AND DEMAND RESPONSE

被引:0
|
作者
Lian R. [1 ]
You Y. [2 ]
Li Y. [3 ]
Su S. [1 ]
机构
[1] College of Electrical Engineering & New Energy, China Three Gorges University, Yichang
[2] Quanzhou Power Supply Company of State Grid Fujian Electric Power Co., Ltd., Quanzhou
[3] Dawu Power Supply Company of State Grid Hubei Electric Power Co., Ltd., Dawu
来源
Technical Electrodynamics | 2021年 / 2021卷 / 06期
基金
中国国家自然科学基金;
关键词
demand response; generation-load-storage coordination optimization; optimized scheduling; The uncertainty of wind power; wind power consumption;
D O I
10.15407/techned2021.06.041
中图分类号
学科分类号
摘要
The problem of wind power abandonment in the north areas of China is serious, which is mainly caused by the uncertainty of wind power and the "thermoelectric coupling" characteristics of cogeneration units. Aiming at this problem, this paper establishes the optimal scheduling model of generation-load-storage coordination in the electrothermal joint system with the goal of minimizing the amount of wind power discarded and the total scheduling cost of the system. Firstly, the responsive electrical and thermal loads on the demand side are divided into three types according to their types, namely, translatable, transferrable and reducible, and the demand response models are constructed to improve the fineness of the optimization on the demand side. Then, the scenario method is used to solve the uncertainty problem of wind power. Meanwhile, the influence of the energy storage side on system scheduling is considered. Finally, the results based on examples verify the effectiveness of the proposed model in promoting the absorptive of wind power and improving the overall economic benefit of the system. References 23, figures 8, table 1. © Ruiqing Lian, Yiran You, Yong Li, Shiwei Su, 2021
引用
收藏
页码:41 / 50
页数:9
相关论文
共 50 条
  • [1] Optimization and scheduling of combined heat and power system considering wind power uncertainty and demand response
    Du, Shengyi
    Tan, Donghong
    Chen, Zitong
    COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2025, 44 (02) : 248 - 267
  • [2] Energy system scheduling considering demand response and wind power uncertainty
    Zhang T.
    Liu L.-F.
    Yang C.-M.
    Zhang Y.-N.
    Guo C.-X.
    Xie D.
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2020, 54 (08): : 1562 - 1571
  • [3] A two-stage scheduling optimization model and solution algorithm for wind power and energy storage system considering uncertainty and demand response
    Tan, Zhong-fu
    Ju, Li-wei
    Li, Huan-huan
    Li, Jia-yu
    Zhang, Hui-juan
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 63 : 1057 - 1069
  • [4] Optimal Dispatching of Combined Heat and Power System Considering the Power Demand Elasticity of Hydrogen Storage Active Load
    Lin, Li
    Zheng, Xinyao
    Gu, Jia
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2022, 58 (02) : 2760 - 2770
  • [5] Industrial power load scheduling considering demand response
    Cui, Hongbo
    Zhou, Kaile
    JOURNAL OF CLEANER PRODUCTION, 2018, 204 : 447 - 460
  • [6] Generation and storage scheduling of combined heat and power
    Shang, Ce
    Srinivasan, Dipti
    Reindl, Thomas
    ENERGY, 2017, 124 : 693 - 705
  • [7] Combined Heat and Power Optimal Dispatch Considering Wind Power Uncertainty
    Chen, Chunlong
    Han, Xueshan
    Li, Wenbo
    2018 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS AND CONTROL ENGINEERING (ISPECE 2018), 2019, 1187
  • [8] Optimal scheduling of the CSP-PV-wind hybrid power generation system considering demand response
    Zhao, Qingsong
    Yang, Beijia
    Ma, Hui
    Liu, Gang
    Xu, Jianyuan
    FRONTIERS IN ENERGY RESEARCH, 2024, 11
  • [9] Optimal Scheduling of Generation and Demand Response Resources with Considering Load Uncertainty
    Talebi, Mehdi
    Hatami, Alireza
    26TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE 2018), 2018, : 1322 - 1326
  • [10] Combined heat and power scheduling strategy considering carbon trading cost in wind power system
    Wang, Zhenhao
    Xu, Jingjian
    Tian, Chunguang
    Cheng, Long
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2020, 41 (12): : 245 - 253