Daily and Short Term Optimal Energy Management with Uncertainty

Abstract

This paper presents a two-level control architecture for the intra-day energy management of a microgrid. The aim is to comply with an agreed energy exchange profile with the main grid, minimizing the operating cost. The higher level is entitled for the definition of the nominal profiles of the controllable devices, based on the forecasts of demand and production. The task of the lower level control is to reach the target energy exchange setpoint, correcting the scheduled setpoint of the controllable devices.While the high level optimization consists in the solution of a mixed integer linear programming problem, the low level controller has been implemented as a daisy chaining control scheme with a PI controller.This control architecture potentially helps to increase the reliability of the whole grid, by means of the aggregation of unpredictable energy resources and making their overall behaviour more predictable from the DSO point of view.

An advanced microgrid simulator for stand-alone and market-dependent energy strategies

“…Acknowledging the above, the Soft Energy Applications Lab (SEALAB) research team has developed a novel Microgrid Simulator, aiming to advance the ongoing work in the field [8][9]. This novel software tool incorporates an advanced numerical algorithm practicing analytical simulations by considering detailed input data such as climatic information and technical characteristics of the participating system components.…”