Economic Model Predictive and Feedback Control of a Smart Grid Prosumer Node

Francesco Liberati and Alessandro Di Giorgio
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Francesco Liberati: Innovations and Networks Executive Agency (INEA), Chaussée de Wavre 910, 1040 Etterbeek, Belgium
Alessandro Di Giorgio: Department of Computer, Control and Management Engineering, “Sapienza” University of Rome, Via Ariosto 25, 00185 Rome, Italy

Energies, 2017, vol. 11, issue 1, 1-23

Abstract: This paper presents a two-level control scheme for the energy management of an electricity prosumer node equipped with controllable loads, local generation, and storage devices. The main control objective is to optimize the prosumer’s energy bill by means of intelligent load shifting and storage control. A generalized tariff model including both volumetric and capacity components is considered, and user preferences as well as all technical constraints are respected. Simulations based on real household consumption data acquired with a sampling period of 1 s are discussed. The proposed control scheme bestows the prosumer node with the flexibility needed to support smart grid use cases such as bill optimization (i.e., local energy trading), control of the profile at the point of connection with the grid, demand response, and reaction to main supply faults (e.g., islanding operation), etc.

Keywords: smart grid; demand response; energy management system; energy storage; model predictive control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
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