Optimal Scheduling of Household Electricity Consumption Based on Improved Ant-Lion Algorithm
In order to fully exploit the demand response capability of the user side,stabilize the user's load fluctu-ation and reduce the user's electricity cost,an optimal scheduling method for household electricity consumption based on the improved ant lion optimization algorithm is proposed.First,an optimal scheduling model for household electric-ity consumption was constructed,and the peak-to-average ratio and average waiting time were introduced into the e-lectricity cost as penalties to obtain a comprehensive cost function.Secondly,the traditional ant lion algorithm was im-proved by using the differential evolution mechanism.Finally,simulation experiments were carried out based on real-time electricity price and critical peak electricity price.The results show that the improved Antlion algorithm can ef-fectively reduce the electricity cost of users and maintain the comfort level of electricity consumption.Compared with particle swarm algorithm,genetic algorithm and antlion algorithm,the proposed algorithm has higher stability,stronger global search ability,and better convergence effect.
NETL
NSTL
万方数据
维普
