Electrical energy management of building using fuzzy control

Soft islanded system is the current trend of electrical energy distribution system. These micro-grid systems are not only sustainable, environment friendly, energy conserving but also minimally dependent on national grid, therefore reducing the overall load on the main grid. However, to manage multiple sources and loads and to deal with the constraints of each source is cumbersome for manual and traditional procedures as they require intelligence to achieve optimality in performance. Therefore, in this work an intelligent fuzzy logic based controller for building energy management system is proposed which manages solar photo-voltaic, battery, load demand and grid price as inputs in such a way that most clean and economical source is utilized at priority. In case of limited power and high cost, it also curtails the load and only allows critical load to operate, thus reducing energy consumption, peak energy requirements and saving revenue. Results show that proposed controller manages the sources and load in smart and optimal way and due to load curtailment mechanism 30 to 40% energy saving is achieved.