Congestion Management Based on Minimization of TCC and Optimal Placement & Sizing of DG

Congestion, price, operation, and governance are all difficulties that are developing as the electric power sectors move toward reforming the electric grid. Transmission line overload is a serious technical issue that must be addressed in order to keep the system safe. Congestion in the network can result in inefficient functioning and blackouts, as well as an outage of the integrated system and system disruption. This research work addressed the challenge of congestion administration by optimal rescheduling of generators, Locational Marginal Pricing (LMP) based depreciation of transmission congestion cost (TCC) for optimal placement of distributed generator (DG) and particle swarm optimization (PSO) based technique for determining the optimal size of DG resulting in relieving congestion, reduction in real loss and improved voltage figure inclusive of assessment of any forthcoming load that can be entertained. The suggested methodology's robustness is successfully evaluated in a Matlab platform using the MATPOWER package on a typical IEEE- 39 bus setup)