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
FRONTIERS IN ENERGY RESEARCH | 2022年 / 10卷
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 25 条
  • [1] Optimal integration of solar energy in a district heating network
    Carpaneto, E.
    Lazzeroni, P.
    Repetto, M.
    [J]. RENEWABLE ENERGY, 2015, 75 : 714 - 721
  • [2] Robust Energy and Reserve Scheduling Considering Bulk Energy Storage Units and Wind Uncertainty
    Cobos, Noemi G.
    Arroyo, Jose M.
    Alguacil, Natalia
    Wang, Jianhui
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (05) : 5206 - 5216
  • [3] Uncertainty Evaluation Algorithm in Power System Dynamic Analysis With Correlated Renewable Energy Sources
    Fan, Miao
    Li, Zhengshuo
    Ding, Tao
    Huang, Lengcheng
    Dong, Feng
    Ren, Zhouyang
    Liu, Chengxi
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 36 (06) : 5602 - 5611
  • [4] A two-stage optimal planning and design method for combined cooling, heat and power microgrid system
    Guo, Li
    Liu, Wenjian
    Cai, Jiejin
    Hong, Bowen
    Wang, Chengshan
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2013, 74 : 433 - 445
  • [5] Chance-Constrained Peer-to-Peer Joint Energy and Reserve Market Considering Renewable Generation Uncertainty
    Guo, Zhenwei
    Pinson, Pierre
    Chen, Shibo
    Yang, Qinmin
    Yang, Zaiyue
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (01) : 798 - 809
  • [6] Integrated Energy Micro-Grid Planning Using Electricity, Heating and Cooling Demands
    Huang, He
    Liang, DaPeng
    Tong, Zhen
    [J]. ENERGIES, 2018, 11 (10)
  • [7] Joint optimal allocation methodology for renewable distributed generation and energy storage for economic benefits
    Kalkhambkar, Vaiju
    Kumar, Rajesh
    Bhakar, Rohit
    [J]. IET RENEWABLE POWER GENERATION, 2016, 10 (09) : 1422 - 1430
  • [8] A hybrid of ant colony optimization and artificial bee colony algorithm for probabilistic optimal placement and sizing of distributed energy resources
    Kefayat, M.
    Ara, A. Lashkar
    Niaki, S. A. Nabavi
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2015, 92 : 149 - 161
  • [9] Optimal control of a residential microgrid
    Kriett, Phillip Oliver
    Salani, Matteo
    [J]. ENERGY, 2012, 42 (01) : 321 - 330
  • [10] Optimal scheduling of integrated demand response-enabled integrated energy systems with uncertain renewable generations: A Stackelberg game approach
    Li, Yang
    Wang, Chunling
    Li, Guoqing
    Chen, Chen
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2021, 235