Considering the current scenario the number of renewable based energy resources are increasing at a faster rate than ever before, but this comes at a cost, the system becomes highly unpredictable due to the variation in irradiance and a number of other factors. Moreover looking into the future the arrival of real time energy pricing adds on a fear of higher energy bills than ever before. Considering all these problems we have come up with an optimal load management and monitoring system, that is reliable, highly efficient and can be incorporated at a very low cost into the existing architecture.Considering the evolution of smart grid, we are proposing a hardware system installed at each nanogrids, monitoring and controlling the critical and the non critical load of each user. IF a microgrid is completely isolated from the grid, and running completely on renewable based energy systems, due to the varying output of the entire system the microgrid can get highly unstable. Considering the mismatch between production and demand we automatically disengage the non critical loads of the individual houses in the microgrid there by providing everyone with running critical load at all time. And the shutting down of non critical load takes place randomly in order to provide each user an optimal performance, moreover we will be providing each user with an in depth analysis of the load usage and energy demands using our iot platform. Now if we are considering a microgrid connected to the grid as well as having a grid connected solar v system, envisioning the upcoming real time energy pricing in the near future, each microgrid or an individual user will be able to limit the power usage from the grid thereby having a controller consumption from the grid, the rest of the demand will be met by the optimal management of the loads also taking into consideration the output from the solar pv system and thus we are providing the most optimal solution for load management and control in re
Trying to build the IoT based system on the AWS a bit challenging, the implementation was easy but since we had to create a new account on the plaform, there was a 24 hour wait period for activating the account. Procuring the required harware components was difficult, but we managet to get the most necessary componenets and do the res woth simulated values and get a great output.
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