Optimal Power Consumption Strategy for Residential Users Based on Time Series Analysis of Electricity Load

Abstract

With the rapid development of smart grid technology, load regulation on the demand side has become a flexible approach for load peak shaving and renewable energy accommodation. In this paper, an optimal wind power consumption strategy is proposed based on the time series analysis of electricity load. In view of the periodicity of residential load on both working days and non-working days, the double seasonal ARIMA model is applied to predict users’ behavior and the adjustable electricity load for wind power consumption. In addition, the difference between residential load and wind power generation is taken as the objective function for optimal power consumption. The problem of wind energy consumption is solved by prioritizing residential load according to the correlation between the load series and wind power series in each time slot. Experimental results demonstrated the reliability and accuracy of the proposed algorithm.