RELIABILITY CONSTRAINED PLANNING OF DISTRIBUTION SYSTEM UNDER HIGH PENETRATION OF STOCHASTIC DG UNITS

Reliability worth is very important in power system planning and operation. Due to continuous growth of demand, power system restructuring, and deregulation, small scattered generators referred as Dispersed Generation (DG) units are gaining momentum due to their network support capabilities and modular designs. Integration of the DG units into distribution systems is one of the effective and viable planning option for improving the supply quality and reliability of the system with ever increasing demand. It is predicted that nonconventional DG units may play key role in future power distribution systems for sustainable and emission free energy supply. However the stochastic nature and the uncertainties associated with the renewable sources introduce special technical and economical challenges that have to be comprehensively investigated in order to facilitate the deployment of these stochastic DG units in the distribution system. With this intent, this paper aims to analyze the effectiveness of various stochastic DG units available in literature based on the calculations of various reliability indices. The focus of this paper is on generating a probabilistic generation-load model that combines all possible operating conditions of the stochastic renewable DG units with their probabilities, hence accommodating this model in a deterministic planning problem for enhancement of system reliability