Techno-Socio-Economic Benefits using CS Algorithm in Radial Distribution

The depletion of fossil fuel-based resources is one of the growing concerns for the network operators. The harmful pollutants from fossil fuels are a major threat to the environment. Thus, in this period of energy crisis, renewable energy resources like PV, wind are very good alternative to me e t up energy demand. Use of BESS makes the intermittent power sources viz. PV, wind etc. more dispatchable, thus making the system reliable. This paper presents improvement of a constrained multi-objective function based on voltage stability, economy and emission using Cuckoo Search Algorithm for wind energy with battery energy storage system (BESS) integrated radial distribution network. Wind based distributed generators (DG) are injected at optimal single point of standard IEEE 22 bus test system and subsequently at two optimal points with BESS. The results have been compared with Particle Swarm Optimization (PSO) and its different variants.