面向家庭智能用电的用电任务调度优化
Optimization of Electricity Consumption Task Scheduling for Household Smart Electricity Consumption
陆青 1谢品杰 1冷亚军 1侯建朝 1孙波1
作者信息
- 1. 上海电力学院经济与管理学院,上海 201300
- 折叠
摘要
用电任务调度优化是家庭智能用电研究的重要应用之一,然而缺少有效的智能调度优化算法制约了用电任务调度的实际应用.根据家庭用电的主要特征,对家庭用电任务进行了定义,将用电任务分为运行连续任务和运行可中断任务两种类型.研究了一种基于改进遗传算法的家庭智能用电调度优化模型及优化算法,模型以降低一天中的用电负荷峰值或用电费用为优化目标,并通过家庭用电任务算例对算法优化效果进行了实验验证.实验结果表明,该优化算法能够很好地优化用电任务的运行安排,具有较好的算法收敛性和优化效率,能够有效降低用电负荷峰值或减少用电费用.
Abstract
Optimization of electricity consumption task scheduling is the important application of household smart electricity consumption research.However,the lack of efficient intelligent scheduling optimization algorithms has restricted its application.According to the main characteristics of household electricity consumption,two types of electricity consumption tasks in household are defined,namely,continuous running tasks and interruptible running tasks.Therefore,a scheduling optimization model and its optimization algorithm are studied based on an improved genetic algorithm.The model's optimization objective is to reduce the daily electricity load peak or electricity cost.And the proposed optimization algorithm is verified by some experiments of household electricity consumption tasks.The experimental results show that the proposed algorithm can optimize the task scheduling problem of electricity consumption with better convergence and optimization efficiency,reducing the electricity load peak or electricity cost effectively.
关键词
智能用电/智能电网/智能家居/用电任务调度/遗传算法Key words
smart electricity consumption/smart grid/smart home/task scheduling of electricity consumption/genetic algorithms引用本文复制引用
基金项目
国家自然科学基金(71103120)
上海市教委科研创新一般项目(14YS094,13YS092)
上海高校选拔培养优秀青年教师科研专项基金(sdl10021)
出版年
2014
NETL
NSTL
维普
万方数据