Optimal capacity allocation method of integrated energy system considering renewable energy uncertainty

被引:7
|
作者
Xue, Yuantian [1 ]
Zhang, Cheng [2 ]
Jiang, Fan [2 ]
Dou, Wu [1 ]
Zhang, Hongtian [1 ]
Yang, Chenlai [1 ]
机构
[1] Wuwei Power Supply Co, State Grid Gansu Elect Power Co, Wuwei, Peoples R China
[2] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou, Peoples R China
来源
关键词
capacity allocation; double-layer optimization; integrated energy system; renewable energy consumption; uncertainty; ROBUST ENERGY; OPTIMIZATION; ALGORITHM; DESIGN; HEAT;
D O I
10.3389/fenrg.2022.1016756
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
With the reduction of fossil energy and the increase of energy consumption, the development and utilization of new energy is an inevitable trend. Renewable energy has attracted attention because of its cleanness and abundance. However, affected by the randomness and intermittence of renewable energy, it is difficult for the traditional power system to meet the needs of users after renewable energy is connected, and it is difficult to solve the consumption problem of renewable energy by relying on the traditional power system alone. To address this problem, an integrated energy system (IES) is constructed using a two-layer optimization method for the operation strategy and capacity allocation of the integrated energy system, and a particle swarm optimization algorithm is used to solve the multi-objective problem, taking renewable energy consumption, operation cost, and investment cost as the optimization indexes, and considering the equipment operation characteristics, uncertainty of renewable energy and the model constraints. The optimization results obtained from the solution are compared with the traditional energy supply system, and it is verified that the proposed method can achieve the lowest cost investment in the system while satisfying the reliability and safety constraints.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Optimal allocation and capacity of energy storage systems in a future European power system with 100% renewable energy generation
    Bussar, Christian
    Moos, Melchior
    Alvarez, Ricardo
    Wolf, Philipp
    Thien, Tjark
    Chen, Hengsi
    Cai, Zhuang
    Leuthold, Matthias
    Sauer, Dirk Uwe
    Moser, Albert
    8TH INTERNATIONAL RENEWABLE ENERGY STORAGE CONFERENCE AND EXHIBITION (IRES 2013), 2014, 46 : 40 - 47
  • [32] Economic capacity allocation and benefit analysis of integrated energy system considering demand response
    Cai H.
    Xiang Y.
    Yang X.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2019, 39 (08): : 186 - 194
  • [33] Optimal scheduling of integrated energy system considering renewable energy uncertainties based on distributionally robust adaptive MPC
    Fan, Guozhu
    Peng, Chunhua
    Wang, Xuekui
    Wu, Peng
    Yang, Yifan
    Sun, Huijuan
    RENEWABLE ENERGY, 2024, 226
  • [34] Hyperfine optimal dispatch for integrated energy microgrid considering uncertainty
    Bo, Yaolong
    Xia, Yanghong
    Wei, Wei
    Li, Zichen
    Zhao, Bo
    Lv, Zeyan
    APPLIED ENERGY, 2023, 334
  • [35] Capacity Allocation of Multi-energy Complementary System Including Renewable Energy
    Li J.
    Liu J.
    Chen X.
    Chen Z.
    Dianwang Jishu/Power System Technology, 2019, 43 (12): : 4387 - 4397
  • [36] Optimal Allocation of Storage Capacity in Distribution Network for Renewable Energy Expansion
    Azibek, Balzhan
    Zhakiyev, Nurkhat
    Kushekkaliyev, Alman
    Zhalgas, Aidana
    Mukatov, Bekzhan
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2024, 52 (10) : 1749 - 1762
  • [37] A two-layer game optimization strategy for an integrated energy system considering multiple responses and renewable energy uncertainty
    Xiao, Hui
    Wu, Yongxiao
    Zeng, Linjun
    Cui, Yonglin
    Guo, Huidong
    Ou, Buwei
    Lei, Yutian
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2025, 41
  • [38] Pricing and capacity allocation in renewable energy
    Li, Xin
    Chen, Hsing Hung
    Tao, Xiangnan
    APPLIED ENERGY, 2016, 179 : 1097 - 1105
  • [39] Expansion Planning Method of Integrated Energy System Considering Uncertainty of Wind Power
    Li Z.
    Wang C.
    Liang J.
    Zhao P.
    Zhang Z.
    Dianwang Jishu/Power System Technology, 2018, 42 (11): : 3477 - 3485
  • [40] Optimal allocation of multiple energy storage in the integrated energy system of a coastal nearly zero energy community considering energy storage priorities
    Fan, Minchao
    Cao, Sunliang
    Lu, Shilei
    JOURNAL OF ENERGY STORAGE, 2024, 87