  Smart grids are becoming ubiquitous in recent time. With the progress of
automation in this arena, it needs to be diagnosed for better performance and
less failures. There are several options for doing that but we have seen from
the past research that using Wireless Sensor Network (WSN) as the diagnosis
framework would be the most promising option due to its diverse benefits.
Several challenges such as effect of noise, lower speed, selective node
replacement, complexity of logistics, and limited battery lifetime arise while
using WSN as the framework. Limited battery lifetime has become one of the most
significant issues to focus on to get rid of it. This article provides a model
for replenishing the battery charge of the sensor nodes of wireless sensor
network. We will use the model for sensor battery recharging in an efficient
way so that no nodes become out of service after a while. We will be using
mobile charger for this purpose. So, there may be some scope for improving the
recharge interval for the mobile charger as well. This will be satisfied using
optimum path calculation for each time the charger travels to the nodes. Our
main objectives are to maximize the nodes battery utilization, distribute power
effectively from the energy harvester, and minimize the distance between power
source and cluster head. The simulation results show that the proposed approach
successfully maximizes the utilization of the nodes battery while minimizes the
waiting time for the sensor nodes to get recharged from the energy harvester.
