Multi-time Scale Optimal Control of Photovoltaic Energy Supply Greenhouse Based on Model Predictive Control

A large number of PV are connected in rural areas, but the PV consumption rate is low. The development of facility agricultural load provides a new way for the local consumption of DPV. However, due to the lack of certain control means, the agricultural production law does not match the output of DPV, and the effect of improving photovoltaic consumption is not obvious. In order to deal with the uncertainty of photovoltaic output, considering that the prediction accuracy increases with the decrease of time scale, a multi time scale optimal control strategy of photovoltaic energy supply greenhouse based on model predictive control is proposed, which takes the energy consuming equipment in the greenhouse as the control object to realize the matching between its operating power and DPV output. Based on the active power output of each equipment in a long-time scale and based on model predictive control in a short time scale, the active power output increment of each equipment is solved by rolling optimization, and the future plan is revised to ensure the photovoltaic absorption rate of the greenhouse system and reduce the operation cost. The feasibility of the strategy is verified by the actual operation data of greenhouse.