This paper presents a novel energy management system for
a renewable based microgrid. The EMS provides the on-line
set-points for generation units while minimizing the
operational cost and considering the forecast of renewable
resources, load, and water consumptions.
The results of the proposed EMS showed that the power
balance in the microgrid is fulfilled for all study cases,
showing the economic benefit of a coordinated online dispatch.
The operational costs of the microgrid are reduced up to 3.06%
for certain profiles of demand and irradiance, allowing a
realistic demand shift option.
The proposed EMS allows an efficient management of the
water supply by optimizing the water pump activation as a
flexible load, especially for periods with energy surplus.The
EMS for a microgrid resumes the attributes of a smart grid by
providing the optimized set-points for electrical units.
Moreover, it also considers other services by integrating water
and electric load demands.
In next step of this work, the proposed EMS will be
implemented on the specific location at Atacama Desert. The
effect of prediction errors and a sliding window optimization
will be included. Field measurements, behaviour of the
communication platform, dynamic response of the system, and
adjustments of the proposed EMS should be reported. Based
on the results, the integration of computational intelligence
techniques in forecasting and control strategies is envisioned.