Customer baseline load models for residential sector in a smart-grid environment

Abstract

Demand side management (DSM) Customer baseline load (CBL) Building load coefficient (BLC) Building insulation Flexible load (FL) Non-flexible load (NFL) a b s t r a c tDemand response (DR) can expand the customer participation in the electricity market and lead by changing its pattern from a simple function to an interactive relation. There are various methods to evaluate the successful implementation of DR program, the most important of which is determination of customer baseline load (CBL). In fact, CBL is the expected pattern of customer consumption in the absence of DR programs. Few works have been done in the field of calculation of CBL in residential sector, while most of them have paid little attention to the impact of changes in weather conditions on these calculations.In this paper, a new method is presented for the calculation of CBL for customers in residential sector in the context of a smart grid, considering the impact of weather changes. The results clearly show the high impact of changes in weather conditions on the calculation of CBL, and also show the extent of effect of buildings' improved insulation on this parameter. It is also indicated that implementing DR programs can increase the willingness of customers in residential sector to improve the insulations of their buildings.

Experimental flexibility identification of aggregated residential thermal loads using behind-the-meter data

“…The performance of baseline models considering a linear combination of hourly consumption and temperature data was also investigated in [26] and [27]. A weather-adjusted variant of these models was proposed in [28], and adding occupancy data was shown to improve performance in [29]. A problem of these methods is that they may create a significant offset when producing a baseline estimation for a short period of time.…”

Optimal Energy Consumption Forecast for Grid Responsive Buildings: A Sensitivity Analysis

“…Development and testing of control methods for ancillary services provision by commercial and residential building energy systems is reported in [2] and [3]. Methodology for calibrating baseline energy consumption models has been proposed in [4] and [5].…”

Determination of Residential Electrical Load Components In Iraqi North Region

“…The knowledge of the residential component is needed for load forecasting [5]. Furthermore, these components are important in load management and smart gird operation [6].…”