AUTHOR=Xue Yuantian , Zhang Cheng , Jiang Fan , Dou Wu , Zhang Hongtian , Yang Chenlai 

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

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.1016756

DOI=10.3389/fenrg.2022.1016756

ISSN=2296-598X

ABSTRACT=Affected by the random and intermittent nature of renewable energy, it is difficult to solve the problem of renewable energy consumption by 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 IES, 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.