Optimal Power Flow In Regional Distribution Feeders With Simultaneous Penetration of DGs And EVs

Abstract

Expansion of the distribution network, increase in load demand and incurable power losses in the distribution network have resulted to dis balanced the power-demand cycle. In order to deal with an unexpected increase in demand, it has been determined by several studies that Distributed Generators (DGs) and Renewable Energy Systems (RES) should be installed in the distribution network. However, in order to address unforeseen distribution network problems, it is crucial to allocate DGs in the distribution network optimally. Plug-In Electric Vehicles (PEV) have grown significantly in popularity in recent years due to their behavior toward the climate and low running costs. But the introduction of EVCSs into the distribution network may cause a substantial increase in load demand there and result in issues with distribution losses, voltage profile degradation, and bad voltage stability of the grid. Numerous studies have been concluded to incorporate Electric Vehicles (EVs) with the simultaneous deployment of Distributed Generators (DGs) in order to overcome unanticipated demand rise and to maintain balance in a power-demand cycle by fulfilling the criterion of decarbonized grid. However, it is significantly important to allocate DGs and EVs charging stations (CS) in an optimized manner in order to curtail real power losses of the lines, power factor correction mechanism and maintain acceptable voltage profile in a cost-effective manner with enhanced efficiency through maintaining system stability and reliability constraints. The aforementioned problem is addressed in this research by investigating the simultaneous penetration of DGs and EVs in regional distribution networks in an optimized manner. This thesis employs a new metaheuristic algorithm known as the Sea-Horse Optimizer through conducting load flow analysis to determine the optimum size and position of Distributed Generators (DGs) and Electric Vehicles (EVs) by reducing voltage drop, active power loss, and reactive power loss of the distribution network. The the usefulness of the proposed model has been tested on IEEE 33-bus, 69-bus and WAPDA regional distribution networks through the conduction of Newton Raphson Load Flow (NRLF) analysis by using MATLAB/MANPOWER.