Capacity optimisation of rural distributed energy system based on two-stage robust optimisation algorithm
by Juan Wang; Sirui Wang; Fengzhong Zhang; Xueyang Sun
International Journal of Modelling, Identification and Control (IJMIC), Vol. 44, No. 4, 2024

Abstract: In order to improve the energy utilisation of rural waste, a rural distributed energy system including wind energy, photovoltaic energy, biogas energy and energy storage is proposed in this paper. The capacity of the rural distributed energy system is optimised based on the two-stage robust optimisation model. The annualised life cycle cost, the differentiated time-of-use electricity price, as well as the discrete wind turbine capacity allocation are considered in the two-stage robust optimisation model. The results show that this distributed energy system including wind energy, photovoltaic energy, biogas energy and energy storage is suitable for rural energy distributed systems, it has excellent multi-energy complementary characteristics, which leads to a high utilisation rate of renewable energy. The capacity configuration without scheduling capacity can be calculated directly by the two-stage robust optimisation model. The uncertainty on the source and load side can be fully considered in the two-stage robust optimisation model, and it has excellent economy and security in the 'worst scenario'

Online publication date: Thu, 13-Jun-2024

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