This session will examine an innovative EMS solution for the optimal scheduling and control of on-grid hybrid power plants, presenting the theory as well as the feedback from many projects (PV+Batteries) in operation in the French Islands. The speaker will discuss how (among other indicators) PV production and reliability of PV energy shifting towards evening is increased when using predictive control, versus deterministic control (using simulation data but also actual data from sites in operation).

The session will also discuss the transposition of optimized predictive control from on-grid plants to off-grid plants. We will introduce the main control challenges for off-grid hybrid plants (Gensets+PV+Batteries), and describe first the deterministic solutions to these challenges. The speaker will then describe the interest and characteristics of an additional optimization layer based on model predictive control that can be added above the deterministic controller. Finally we will look at concrete illustrations of the differences of power curves obtained between deterministic and predictive approaches. The speaker will describe the main results of a simulation work performed by NALDEO in 2022, showing the extent of performance indicators improvement generated by the optimization predictive layer.

• Proof of gains brought by advanced EMS solutions and weather forecast integration for hybrid on-grid projects (~50 references)
• Technical description of application of predictive optimization based on weather forecast to off-grid microgrid control
• Results of a detailed simulation study allowing comparison between deterministic control and optimal control based on weather forecast for off-grid microgrids

Speaker: