A norm behavior based deterministic methodology for demand response base lines

Abstract

One of the keystones required to bring demand response from academia and pilots to the industry and the market, is a reliable demand response base line methodology to measure the performance of the DR resources and for DR billing settlement. However, most base line methodologies proposed in the literature use statistical analysis of historic consumption data when no demand response is active. The availability of such data drops as demand response is more continuously used. We propose and define a base line methodology that builds on a norm behavior convention, where this norm behavior can be derived from the status and configuration data of the flexible devices, rather than from historic measurements. This is illustrated for postponable and buffered appliances. Norm behavior base lines can also be used for interfacing between aggregator and user of the flexibility. This has been deployed in the Linear residential demand response pilot to realize intraday balancing. The first results show that the base line methodology operates as expected. They also show the asymmetry of the flexibility offered by postponable non-interruptable white good appliances.