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. (C) 2018 Elsevier Ltd. All rights reserved.