Markov Chain Modeling of Aggregations of Electric Water Heaters for Demand Response Applications
نویسنده
چکیده
We develop a dynamic system model for a population of water boilers, which is simple enough for control purposes, but at the same time appreciates the complexity of the boilers internal dynamics and the volatility of such a load. For this purpose, a computationally involved model for a single water boiler is improved and then used to create a population. Based on these boilers a simple Markov Chain Model is created. Finally the ability of the Markov Model to predict the power consumption of other populations in an open loop control system is analyzed.
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