A complete copper optimization technique using BB-BC in a smart home for a smarter grid and a comparison with GA

摘要

Optimizing the use of copper especially in the distribution system not only reduces the cost but more importantly lowers the copper losses. This paper presents a unique innovative technique which reduces copper volume while enabling home automation. This model of smart home is designed to provide a base for Smart Grid's functions like demand side management, AMR, load shedding etc. The optimization problem is solved with a Big Bang-Big Crunch algorithm inspired from Big Bang Theory and the results obtained are compared with adapted Genetic algorithm to demonstrate the efficiency of BBBC.