Power ramp-rate control algorithm with optimal State of Charge reference via Dynamic Programming

Jean-Laurent Duchaud, Gilles Notton, Christophe Darras and Cyril Voyant

Energy, 2018, vol. 149, issue C, 709-717

Abstract: This article presents a new control algorithm for an Intermittent Renewable Energy Systems coupled with an Energy Storage System (ESS) connected to a load and to the grid. It aims to limit grid power ramp-rate, to optimize energy trading and to manage the ESS State of Charge (SoC) under several constraints. The strategy uses a ramp-rate limiter algorithm with a SoC feedback control. The controller reference is optimized with a Dynamic Programming algorithm using weather and consumption predictions. Every 2 h, the optimization is refreshed with the actual SoC and new predictions. The algorithm is applied on real data measured in Ajaccio and shows a light improvement in the plant operation cost and ensures that the ESS is not depleted at the end of the day.

Keywords: Ramp-rate control; Dynamic programming; Optimization; Model predictive control; Power management (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:149:y:2018:i:c:p:709-717

DOI: 10.1016/j.energy.2018.02.064

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