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

被引:0
|
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
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页数:12
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