首页|基于多目标优化的变电站消防资源配置算法

基于多目标优化的变电站消防资源配置算法

扫码查看
原文链接
  • 万方数据
  • 维普
针对变电站消防资源分配与分布不均匀的问题,提出了一种基于多目标优化的变电站消防资源配置算法.该算法采用电力生产场所的道路网作为变电站消防责任区划分的依据,并结合各划分区域的消防需求构建消防资源配置模型.根据该模型的特点,在帕累托最优解的约束下提出了一种基于模拟退火的多目标优化算法,来求解该消防资源配置模型.仿真与实验结果表明,所提出的消防资源配置模型更符合实际变电站各场所分布的特点,且所提出的多目标优化算法得到的消防资源分配结果能在消防资源有限的条件下,实现最大的配置效益和快速的消防响应.
Allocation algorithm of substation fire protection resources based on multi-objective optimization
Aiming at the uneven distribution of substation fire protection resources,a substation fire protection resource allocation algorithm based on multi-objective optimization was proposed.The road network of power production sites was taken as the basis for the division of substation fire protection areas,and the fire protection requirements and geographic attributes of each divided area were combined to construct a fire protection resource allocation model.According to the characteristics of the model,a multi-objective optimization algorithm based on simulated annealing was proposed to solve the fire protection resource allocation model under the constraints of the Pareto optimal solution.Simulation and experimental results show that the as-proposed fire protection resource allocation model was more consistent with the distribution characteristics of actual substations,and the site selection results obtained by the as-proposed multi-objective optimization algorithm can maximize the configuration benefits under the condition of limited fire protection resources.

substationfire protection resourcemulti-objective optimizationintelligent algorithmresource allocationPareto optimal solutionsimulated annealing algorithmroad network

刘毅敏、张聪伟、王慧刚

展开 >

山西省电力公司电力科学研究院 安质部,山西 阳泉 045000

变电站 消防资源 多目标优化 智能算法 资源配置 帕累托最优解 模拟退火算法 道路网

国家自然科学基金项目国网山西省电力公司科技项目

610330135205C018005C

2024

10.7688/j.issn.1000-1646.2024.01.06

沈阳工业大学学报
沈阳工业大学

沈阳工业大学学报

CSTPCD北大核心
影响因子：0.62
ISSN：1000-1646
年,卷(期)：2024.46(1)
  • 6