Scheduling Optimization Method for Household Electricity Consumption Based on Improved Genetic Algorithm
In response to the problems of insufficient electricity economy and comfort at the customer side during the peak con-sumption period,an improved genetic algorithm based on optimization method for household electricity scheduling is proposed.The traditional genetic algorithm is improved and the electricity consumption behavior is optimized by adopting different coding methods for different types of appliances instead of the single coding of the traditional genetic algorithm,and using the fitness function with penalty function to constrain the time required for each appliance's electricity consumption task.The results show that the proposed algorithm can effectively realize the optimization of electricity load scheduling based on time-of-use tariff,and provide customers with economical electricity concumption solutions with low complexity,it can effectively solve the problem of economic and comfort level of power consumption during the peak period of power consumption.
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