SMART NANOGRID CONTROLLER FOR OPTIMIZED POWER SUPPLY

Abstract

The use of solar panels is becoming increasingly common in Pakistan, owing to the consistent power crises, fuel shortage and also because of its eco-friendliness. Moreover, laws for reverse metering have also been approved in Pakistan, recently. The simple explanation of which is the ability to both buy and sell power from and to the national grid. This presents a problem: Assuring maximum power availability at minimum cost. Our project, as a solution, presents a smart system that assumes the responsibility of providing the user with optimized power supply in terms of both availability and cost. In the presence of power from solar panel (nanogrid), national grid and a battery, the proposed system makes the decision of which source to choose to meet the power needs of the household at any time, in such a way, that the consumer household gets maximum availability of power at minimum cost. A fuzzy inference system is implemented, in order to install the human-like decision making capability and because of the continuity of inputs. The final system product is an embedded system interfacing all components of the system and an application providing a Graphical User Interface.