文章摘要
郭小璇,潘廷哲,郭 敏,罗鸿轩,孙乐平,周晓东.考虑农作物生长安全约束的电力需求响应策略研究[J].电力需求侧管理,2025,27(5):09-15
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
投稿时间:2025-05-23  修订日期:2025-07-12
DOI:10. 3969 / j. issn. 1009-1831. 2025. 05. 002
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
基金项目:南方电网公司科技项目(GXKJXM20220061)
作者单位
郭小璇 广西电网有限责任公司 电力科学研究院南宁 530023 
潘廷哲 南方电网科学研究院有限责任公司广州 510663 
郭 敏 广西电网有限责任公司 电力科学研究院南宁 530023 
罗鸿轩 南方电网科学研究院有限责任公司广州 510663 
孙乐平 广西电网有限责任公司 电力科学研究院南宁 530023 
周晓东 南方电网科学研究院有限责任公司广州 510663 
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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。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,日负荷和购电成本均有效减少。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. 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.
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