Design of fuzzy logic based controller for energy efficient operation in building

Building energy management is a major R&D topic, as buildings account for about 32% of energy consumption worldwide. Design and implementation of controller for energy efficient operation in building is one of the methods to save the energy in the building. In this paper, a fuzzy logic based approach is used to design the energy management controller. Fuzzy logic has been widely used in the control engineering and many other fields of study. In the proposed approach, fuzzy logic is used to simulate the building load profile, and control the load of the appliance by flexibly choosing load scheduling. The controller would set a power threshold that cannot be exceeded, otherwise an on/off control of the home appliances would be invoked. In such a way, peak shaving of the power could be achieved. Using MATLAB-based graphical user interfaces, such fuzzy logic-based application could very well be implemented, reflecting on real-life scenarios.

[1]  Abhisek Ukil,et al.  Modeling and validation of electrical load profiling in residential buildings in Singapore , 2015 .

[2]  H. T. Mouftah,et al.  Peak Load Curtailment in a Smart Grid Via Fuzzy System Approach , 2014, IEEE Transactions on Smart Grid.

[3]  Abhisek Ukil,et al.  Feeder Load Balancing using Fuzzy Logic and Combinatorial Optimization-based Implementation , 2008, ArXiv.

[4]  Francesc Guinjoan,et al.  Fuzzy Logic-Based Energy Management System Design for Residential Grid-Connected Microgrids , 2018, IEEE Transactions on Smart Grid.

[5]  Abhisek Ukil,et al.  Building HVAC load profiling using EnergyPlus , 2015, 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).

[6]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[7]  Yuang-Shung Lee,et al.  Intelligent control battery equalization for series connected lithium-ion battery strings , 2005, IEEE Trans. Ind. Electron..

[8]  Abhisek Ukil,et al.  Framework for multipoint sensing simulation for energy efficient HVAC operation in buildings , 2015, IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society.

[9]  Abhisek Ukil,et al.  Intelligent systems and signal processing in power engineering , 2007 .

[10]  Abhisek Ukil,et al.  Load profiling of Singapore buildings for peak shaving , 2014, 2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).

[11]  Abhisek Ukil,et al.  Feeder Load Balancing Using Neural Network , 2006, ISNN.

[12]  Abhisek Ukil,et al.  Adjusted Haar wavelet for application in the power systems disturbance analysis , 2008, Digit. Signal Process..

[13]  Ken Nagasaka,et al.  Multiobjective Intelligent Energy Management for a Microgrid , 2013, IEEE Transactions on Industrial Electronics.