• Shafia Nikhat
• T.Parameshwar

Electric utilities resort to load shedding whenever there is imbalance between generation and load demand. It is the amount of load that can be instantly removed from the power grid to keep the remainder operational. It helps to reduce the power outages by distributing the shortage of supply. The algorithm is developed on a smart grid environment under the assumption that the loads can be individually controlled from the utility side. The algorithm utilizes forecasting, shedding, and controlling of the devices through webpage. It also uses the Internet of Things and stream analytics to provide real-time load control, and generates a daily schedule for customers equipped with Electronic Devices, based on their demand sand the forecasted load model. The Genetic algorithm techniques are utilized for real time load control and optimization.

Raspberry pi, Relays, loads, Wi-Fi technology, Genetic Algorithm.

"LOAD SHEDDING IN SMART GRID USING GENETIC ALGORITHM VIA IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.692-695, June-2019, Available :http://www.jetir.org/papers/JETIR1906682.pdf

"LOAD SHEDDING IN SMART GRID USING GENETIC ALGORITHM VIA IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp692-695, June-2019, Available at : http://www.jetir.org/papers/JETIR1906682.pdf