Load forecasting by the Main grid controller using ANN and the implementation of demand response using Micro-controller

Abstract

The electric power system is undergoing a wide range of transformation to overcome the shortcomings of the conventional grid system. A smart grid is a modernized version of existing grid which incorporates both electrical and digital networks together. Smart grid is a self healing electrical network which monitors, control and analysis various data using digital technology and can take control actions based on the variations in data. This system can provide clean and sustainable power supply to the consumer and allows the consumer to take part in energy transfer. Smart micro grid is a localized version of smart grid which is limited by electrical and geometrical constraints. To reduce the complexities while opting for a centralized control scheme in a smart micron grid here we are using a hierarchical level control approach. The control levels are classified into primary, secondary and tertiary level control which are associated with smart meter, local micro grid controller and a main grid controller. In this work we are concentrating mainly on tertiary level controller which implies that main grid controller gains the control over consumer premises when the consumption level of consumer increases beyond the predefined limits. This demand response management was done in Mplab using micro controllers. Load forecasting is done in tertiary controller using ANN technique in Matlab.