Integration of distributed energy Resources for efficient power Utilization in radial distribution Network and scheduling of loads on the Consumer side

Abstract

This thesis considers the Distributed Generation (DG) planning in a radial distribution framework for the identification of appropriate locations with suitable ratings of DG units and scheduling of loads on the consumer side. The allocated DG units energized by renewable energy resources can scale back the power loss and recover the voltage levels. newlineIn chapter 3, the location and size of the PV/wind-based DG unit is identified and the impact of time-varying voltage dependant load models has been analyzed. To start with, a multiobjective index is constructed with indices namely real and reactive power loss index, voltage deviation index, and MVA capacity index with an objective of reduction of real and reactive power loss, voltage profile improvement, and decreased line loading. The multiobjective index derived is minimized to locate the DG. Next to that, the analytical expression is derived to size the DG with the time-varying voltage dependant load models and the probabilistic nature of solar and wind generation. Finally, the impact of load models with the generation effects is separately analyzed for PV/wind (Hybrid) DG planning. The proposed perspective was validated on the IEEE 33-bus, IEEE 69-bus radial distribution network, and a real 16-bus distribution substation for its effectiveness because the distributed generators are placed on the distribution side of an electrical network. The outcomes reveal that the DG allocation for time-varying voltage dependant load model and probabilistic nature of solar and wind has significant impacts on the distribution system by reducing real and reactive power loss, improving voltage deviation, and reduced MVA intake. newline