An economic dispatch model based on scenario tree in industrial micro-grid with solar power and storage

Abstract

Solar power is a kind of clean and renewable energy, which can be utilized in the industrial micro-grid as an effective approach to decrease energy costs and reduce the emission of greenhouse. However, the uncertainty of solar power together with the limit of thermal power units' adjustment ability will bring a great challenge to keeping balance of power demand and supply. In this paper, the storage is introduced to industrial micro-grid that aims at mitigating the fluctuation of gateway flow. Since uncertainty exists, how to minimize energy costs considering the uncertainty becomes a great problem. So an economic dispatch model of industrial micro-grid based on scenario tree is established. With the simulation data taken into the model in the paper, the results show that the energy cost decrease 4.79% with solar power and decrease 0.87% with storage, which indicate that the thermal power cost can be decreased largely by utilizing solar power and storage, and the fluctuation of solar power and load can be mitigated by generation and production schedule effectively.