A framework for intelligent control of SIRES for rural communities

A vast majority of people living in rural areas around the world lack access to fundamental needs. Smart Integrated Renewable Energy Systems (SIRES) can “energize” the rural area and not just “electrify” them. The essence of SIRES is matching resources to needs a priori to fulfill them in a smart and efficient way. SIRES comprises of several renewable technology devices, sensors and controllers. In order to satisfy the demands in an efficient manner, an intelligent control is necessary to actuate the system component controllers. For this, fuzzy logic based control is formulated in this paper. It is aided by forecasting one-hour ahead demand using neural network. A framework for fuzzy logic with associated membership functions and fuzzy rules is presented.