Optimal regulation on micro energy grid based on time-shifting agricultural load

To achieve its PV local consumption, the traditional agricultural greenhouses in Gansu Province and its energy supply system are intelligently reformed and demonstrated. The PV wisdom agricultural greenhouse micro energy grid based on time-shifting agricultural load is proposed. This paper compares the scheduling of micro-sources before and after agricultural loads transfer and the daily integrated cost. To allocate the heating equipment rationally and economically, an accurate calculation model of thermal load in greenhouse is constructed. In the paper, based on a new learning factor second-order oscillating culture particle swarm optimization algorithm Simulation is suggested. The simulation proves that the scheduling of the time-shifting load can reduce the system daily integrated cost and verify the correctness of the model and algorithm, meanwhile realize the economical and rational utilization of various energy flows.