Optimization of Electricity Consumption Task Scheduling for Household Smart Electricity Consumption
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.
smart electricity consumptionsmart gridsmart hometask scheduling of electricity consumptiongenetic algorithms
NETL
NSTL
万方数据
维普
