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Robust microgrid operation considering renewable power uncertainties

Micro Grids (MGs) are clusters of the Distributed Energy Resource (DER) units and loads. MGs are self-sustainable and generally operated in two modes: 1) grid connected 2) grid isolated. This paper focuses on optimal MG operation for these modes in deregulated environment considering wind uncertainty. Wind uncertainty can be modeled by interval forecasting using time series based Autoregressive Integrated Moving Average (ARIMA) model. Other uncertainties like Photo-Voltaic (PV) generation demand and grid prices are modeled in deterministic manner. Considering the various uncertainties this paper proposes robust optimization based approach for optimal scheduling of MG in deregulated environment. Proposed approach is illustrated by practical case study considering different test cases. Comparative analysis between obtained results and existing approaches shows strength of proposed approach.