Integrated DER Planning and Scheduling of Smart Distribution System through Two Stage Methodology /

Abstract

In conventional Radial Distribution System (RDS) the customer far away from the utility faces lower voltage level and poor power quality. Present distribution system becoming week and congested due to the increase in load demand, infrastructure is getting old and unidirectional power flows. Installation of new power plants in not feasible solution because they are costly and time consuming. To overcome these problems reconfiguration of passive radial distribution system to smart distribution system (SDS) is one of the best solution as it has low cost as compared to conventional power plants. Reconfiguration of radial distribution system (RDS) into mesh distribution system along with the penetration of distributed generators (DGs) and FACTS devices makes smart distribution system. If DGs and distributed static compensator (DSTATCOM) units are not optimally placed or sized, reverse power flow may occur. In this study to determine the optimal siting and sizing of DGs and DSTATCOMs a new improved voltage stability assessment index (VSI_B)-centered planning approach is used aiming at loss reduction, voltage stability and related objectives. The bus having the highest value of VSI_B will be the critical bus at which the DG should be penetrated. DGs and DSTATCOMs is optimally penetrated and sized under normal load conditions and also for load growth scenarios at different power factors and their associated technical and economic attributes are calculated for techno-economic comparison. Four different multi-criteria decision analysis (MCDA) techniques such as weighted sum method (WSM), weighted product method (WPM), technique for order preference by similarity to ideal solution method (TOPSIS) and preference ranking organization method for enrichment evaluations (PROMETHEE) are applied for finding the solution from available attributes. The impact of integration of DGs and DSTATCOMs and their generation at different power factors have been observed on IEEE 33 bus system using constant power load model in MATLAB R2018a.