Aggregated modeling and control of domestic electric water heaters
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Date
2022-12
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University of New Brunswick
Abstract
The rollout of Distributed Energy Resources (DERs) is coming into play to reduce the carbon footprint and provide better service to the consumers. However, balancing generation and demand by controlling individual DERs while maintaining grid stability is a crucial challenge. Domestic electric water heaters (DEWHs) are one of the significant contributors to the residential load in New Brunswick. According to previous studies [1] [2], the aggregated load profile of DEWHs follows a similar pattern as the total load profile. Thus, by managing the load curve of DEWHs, we can significantly change the shape of the aggregated residential load curve.
The control strategy is to shift the aggregated load up or down relative to the baseline to track the desired load profile. This research focuses on maintaining end use devise performance to guarantee customer satisfaction. The research contributions are –
• Development of a smart switch that maps the control variable to shift the operating setpoint of DEWH.
• An algorithm that simulates water draw events across the fleet of water heaters by capturing water usage patterns.
• A new aggregated load control system that tracks dispatch instructions precisely under certain conditions.