Techno-Economic and Environmental Based Approach for Planning of SDG and DSTATCOM with Impact of Network Reconfiguration using APSO and TLBO

A Multi Objective based Fitness Function (MOFF) is proposed for the optimum planning of multiple Solar Distributed Generation (SDG) and DSTATCOM with radial distribution network (RDN) reconfiguration impact techno-economic environmental benefit improvement. The Adaptive-Particle Swarm Optimization (APSO) Teaching-Learning Based techniques (TLBO) are employed to accomplish this work. In MOFF, Active Power Loss (APLoss), Reactive (RPLoss), System Voltage Deviation (SVD), Fault-Current Level-of-Line (FCLLine), Service Reliability (SSR) considered. economic-benefit measures along Environmental Emissions Components (EEC) have also been considered in light various system costs such as Fixed Capital Recovery Cost (FCRCost), Energy (ELCost) Not Supplied (ENSCost). novelty MOFF simultaneous consideration FCLLine APLoss, RPLoss, SVD, SSR EEC calculation. IEEE 69 118 bus RDN three case studies demonstrate methodology's usefulness. result analysis reveals that better performances can be obtained on terms environment-friendly perspective, consistency, convergence, computation time using TLBO rather than APSO.