Agricultural greenhouses

as the core component of modern facility agriculture

exhibit significant demand response potential due to their complex energy consumption characteristics. A greenhouse power demand response strategy based on crop growth safety constraints has been proposed. Firstly

the types of loads within the greenhouse are categorized

distinguishing between shiftable and interruptible loads. Then

by characterizing the nonlinear relationship between environmental parameters and electricity consumption

an electricity load model required for crop growth is established

and a greenhouse power demand response model is constructed with the objective of minimizing operating costs. To address the issue of traditional black hole algorithms easily falling into local optima

an adaptive crossover mutation mechanism and dynamic inertia weight strategy are introduced to develop an improved black hole optimization algorithm. Simulation results using a typical tomato greenhouse as a case study demonstrate that the proposed method reduces daily load and electricity purchase costs while ensuring normal crop growth. The research results provide an economical solution for demand-side response in the agrcultural greenhouse sector.