A microgrid is a self-sustainable grid which can be operated in two modes, i.e. Grid coneected mode and grid isolated mode. In grid connected mode microgrid can be connected to grid at Point of Common Coupling (PCC). This paper considers grid connected microgrid for generation scheduling. This paper analyzes the Generation scheduling at PCC in grid connected mode of microgrid. Here microgrid is having renewable generators (i.e. Wind and PV) and dispatchable units, and generation scheduling problem at PCC is formed by robust approach and solved by using GAMS (General Algebraic Modeling System). Practical case study considering excess renewable generation and excess demand are discussed.

Micro Grids (MGs) are clusters of the Distributed Energy Resource (DER) units and loads. MGs are selfsustainable 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.

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