Intelligent Home Energy Management by Fuzzy Adaptive Control Model for Solar (PV)-Grid/DG Power System in India

Electricity is essential for all households irrespective of their geographical location. Its demand is increasing day by day due to the rapid population growth and greater use of electricity for better standard of living. As the conventional sources of energy are shrinking, a need has arisen to look for alternative sources of energy with more emphasis on its optimal use. This paper presents design of a sustainable solar (PV) system for an Indian city based residential /community house, integrated with grid/ DG, supporting it as supplementary sources, to meet entire energy demand of house. A Fuzzy control system model has been developed to optimize and control flow of power from these sources. This energy requirement is mainly fulfilled from PV energy stored in battery module for critical load of a city located residential house and supplemented by grid/DG for base and peak load. The system has been developed for maximum daily household load energy of 60kWh and can be scaled to any higher value as per requirement of individual/community house ranging from 60kWh/day to 70kWh/day, as per the requirement. The simulation work and its hardware implementation, using intelligent energy management, has resulted in an optimal yield leading to average reduction in cost of electricity by 50% per day or even more.