Two-Stage Stochastic Programming Method for Multi-Energy Microgrid System

Abstract

To solve the problems of optimal dispatch of electric-thermal-gas multi-energy microgrid system and uncertainty of new energy output and load fluctuation, a two-stage stochastic programming method based on energy hub (EH) is proposed, and an optimal dispatch model of microgrid energy is established. The coupling relationship between electricity, heat and natural gas in the integrated energy system is studied, and a virtual port is added to the EH to realize the linearization of the model. In the first stage, the objective is to maximize the economic benefit. According to the known data and constraints, the dispatch quantity of energy bought/sold from the main grid and the input power of the EH in the microgrid are determined. In the second stage, considering the fluctuation of load and new energy, stochastic programming is adopted to deal with uncertainties, and adjustment is made on the basis of the first stage, and the combination of deterministic factors and random factors in scheduling optimization is realized, which is suitable for actual scheduling. Finally, taking a typical residential area with multi-energy system as an example, the validity and economy of the two-stage stochastic programming method proposed in this paper is verified by comparing the deterministic method with the stochastic method.