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Optimal Reactive Supervision of Grid Connected PV Systems with Batteries in Real Conditions
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Abstract
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This study deals with reactive and optimal supervision of power flow in a grid connected PV system with batteries in real conditions. Four different reactive supervisions, derived from the predictive power flow from the forecasts, are presented.. An innovative method is proposed to perform optimal adjustment of the predictive strategy according to real conditions while avoiding high computation demand from a new calculation of the global optimal solution. Results from simulations in a restrictive case show that the proposed closed loop supervisions can save up to 40% of the operation cost when compared to the open loop supervision. Copyright (c) 2012 Praise Worthy Prize S.r.l - All rights reserved.
Keywords:
Photovoltaic Power Systems
Energy Management
Optimization
Dynamic Programming
Battery Energy Storage
Supervision
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