Abstract
Analysing and simulating the dynamic behaviour of home power system as a part of community-based energy system needs load model of either aggregate or dis-aggregate power use. Moreover, in the context of home energy efficiency, development of specific and accurate residential load model can help system designer to develop a tool for reducing energy consumption effectively. In this paper, a new method for developing two types of residential polynomial load model is presented. In the research, computation technique of model parameters is provided based on median filter and least square estimation and implemented by MATLAB. We use AMPDs data set, which have 1-minute data sampling, to show the effectiveness of proposed method. After simulation is carried out, the performance evaluation of model is provided through exploring root mean-squared error between original data and model output. From simulation results, it could be concluded that proposed model is enough for helping system designer to analyse home power energy use.
Highlights
Community-based energy system is becoming promising scheme to overcome some fundamental human energy issues such as operational efficiency and local resource utilization
Residential load data can be classified as low sampling and high sampling
Different to model ZIP model, in this paper we propose two type models that are called as Multiplicative and Additive Polynomial Model
Summary
Community-based energy system is becoming promising scheme to overcome some fundamental human energy issues such as operational efficiency and local resource utilization. We limit the definition of community-based energy system as electric power system owned and operated by community. Community-based energy system adopts smart micro grid architecture. Microgrid means a power delivery infrastructure in micro size (
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