Day-Ahead Scheduling of Electric Heat Pumps for Peak Shaving in Distribution Grids

Conference paper (2019)

Authors

Marco Pau Rheinisch-Westfälische Technische Hochschule
Jochen Cremer Imperial College London
Ferdinanda Ponci Rheinisch-Westfälische Technische Hochschule
Antonello Monti Rheinisch-Westfälische Technische Hochschule
Affiliation
External organisation
Mixed integer linear programming Demand Side Management Optimal scheduling Electric heat pumps Power peak shaving
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Published Date

2019

Language

English

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Abstract

In future electric distribution networks, demand flexibility offered by controllable loads will play a key role for the effective transition towards the smart grids. Electric heat pumps are flexible loads whose operation can be controlled, to some extent, to foster the efficient operation of the distribution grids. This paper presents an optimization algorithm that defines a smart day-ahead scheduling of electric heat pumps aimed at achieving power peak shaving in the distribution grid, while providing customers with the desired thermal comfort over the day. The proposed optimization relies upon a Mixed Integer Linear Programming approach and allows defining both the time schedule and the operating points of the heat pump, guaranteeing an energy efficient solution for the customers. Performed tests show the benefits achievable by means of the proposed optimal scheduling both at the distribution grid level and at the customer side, proving the goodness of the conceived solution.