Stochastic Resource Adequacy Assessment for DISCOMs with Renewables and Energy Storage

Resource adequacy assessment is an integral aspect of power system planning and operation, which has become more critical because of the increased penetration of renewable energy resources (RES), demand response, and economy-wide electrification. This paper presents a resource adequacy assessment methodology wherein the representative days are obtained using the k-medoid clustering approach. Further, a novel linear unit commitment formulation (UC) is proposed. The proposed UC formulation performs Monte Carlo simulations to solve large DISCOM problems efficiently. Moreover, value at risk (VaR) and conditional value at risk (CVaR) estimates of loss of load hours and normalized energy not served are evaluated. The estimation of reliability metrics is carried out in line with Central Electricity Authority (CEA) guidelines on resource adequacy framework. Finally, the results for a representative DISCOM, with a peak demand of 25 GW, are presented to demonstrate the approach.