The issues and challenges involved in the case of secondary distribution have been approached in a very limited number of research works. This paves a way for us to investigate the algorithms for planning of secondary distribution. In the current scenario, the use of renewable energy is widely preferred for the purpose of power generation as it is found to be highly beneficial to the environment. The main objective of any power distribution system is to minimize the cost which comprises of asset price, support substations, feeders and energy loss. When we deal with algorithms, a system and its objectives along with constraints are to be considered. The constraints usually considered are power flow equality, bus voltage or voltage drop limits, substation and feeder capacity limits, standard sizes for transformers and conductors, radial operation of the network, bus angle limits, and transformer tap limits and short-circuit current limit. The analysis toward the planning of secondary distribution in power system has been carried out through numerous algorithms. The sole purpose of utilizing algorithms is to eradicate the restrictions involved in secondary distribution. Thus, we have adopted a multifaceted diverse integer nonlinear optimization system.