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Modeling and Aggregation of Electric Water Heaters to Serve in Swiss Ancillary Service Market


H. Cai

Master Thesis, FS15 (10398)

This master project aims at controlling a large population of electric water heaters with limited information, to serve in Swiss ancillary market by tracking secondary frequency control signal and mitigate the forecast errors of renewable generations. Existing one-layer and stratified model of electric water heater are first reviewed and compared. Combined heterogeneous device parameters with assumed typical water draw scenario, a realistic electric water heater population is created. Markov chain model is then developed to model the aggregate behaviour of electric water heater population. The Markov transition matrix is derived using both analytical and numerical methods. To account for model mismatch, Kalman filtering technique is applied. Based on the estimation result, rule-based controller is designed and compared with controllers assuming full or partial information available. Controllers are evaluated by tracking step signal and secondary frequency control signal.

Supervisors: Maryam Kamgarpour, Evangelos Vrettos, Mario Paolone (EPFL), John Lygeros


Type of Publication:

(12)Diploma/Master Thesis

J. Lygeros

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2015:IFA_5248
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