考虑农作物生长安全约束的电力需求响应策略研究

Research on Power Demand Response Strategies Considering Crop Growth Safety Constraints

中文关键词: 农业温室  黑洞算法  需求响应

英文关键词: agricultural greenhouse  black hole algorithm  demand response

中文摘要:

      农业温室作为现代设施农业的核心载体，其复合型用能特性蕴含着显著的需求响应潜力。本文提出一种基于农作物生长安全约束的温室电力需求响应策略。首先，对温室内负荷类型进行归纳，区分可时移、可中断负荷。然后，通过表征环境参数与用电负荷的非线性关系，建立农作物生长所需的用电负荷模型，并以运行成本最低为目标函数构造温室电力需求响应模型。针对传统黑洞算法容易陷入局部最优的缺点，引入自适应交叉变异机制和动态惯性权重策略，构建改进的黑洞优化算法。以典型番茄温室为案例的仿真结果表明，所提方法在保证作物正常生长的前提下，日负荷降低10.5%，购电成本减少14.77%。研究结果为农业温室电力需求侧响应提供了经济性的解决方案。

英文摘要:

      Agricultural greenhouses, as the core component of modern facility agriculture, exhibit significant demand response potential due to their complex energy consumption characteristics. This paper proposes a greenhouse power demand response strategy based on crop growth safety constraints. 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 by 10.5% and electricity purchase costs by 14.77% while ensuring normal crop growth. The research results provide an economical solution for demand-side response in the agricultural greenhouse sector.