LOAD SCHEDULING AND SOLAR BASED ENERGY COST OPTIMIZATION FOR CONSUMERS IN DEVELOPING COUNTRIES

To solve the energy crisis in India, it is very important to develop smart algorithms to gain a mush quicker solution to the power cut problems. India, it is filled with a lot of basic essential issues that first needs to be solved such as continuous access for drinking water to all, food for all and most importantly electricity for all. This paper talks about how combining solar energy, load shifting and partial outage can benefit the consumers to tackle the power cut problems. Knowing the power cut scenario in the local areas, the step one of the algorithm calculates, the loads that can be shifted during the power cuts, the second algorithm calculates how much benefit can be obtained from the solar power that is being generated in the consumer premises, and finally how much of the back-up i.e. the diesel consumption of the diesel generator can be reduced.