Journal of Energy Research and Reviews, ..,Vol.: 1, Issue.: 1
Fuzzy Logic Based Controller with Dedicated Safety Function for Hybrid Renewable Energy System
Nnadozie Emmanuel Chibuikem1* and Oparaku Ogbonna Ukachukwu1 1Department of Electronic Engineering, University of Nigeria, Nsukka, Nigeria.
Nnadozie Emmanuel Chibuikem1* and Oparaku Ogbonna Ukachukwu1
1Department of Electronic Engineering, University of Nigeria, Nsukka, Nigeria.
(1) K. Gnana Sheela, Professor, Department of Electrical Communication Engineering, Toc H Institute of Science & Technology, Arakkunnam, Ernakulam, Kerala, India.
(1) Dalibor Petkovic, University of Niš, Serbia.
(2) Muhammad Faheem, Abdullah Gul University, Turkey.
Complete Peer review History: http://www.sciencedomain.org/review-history/25076
For the dual reasons of energy security and environmental and climate preservation, there has been a global campaign for drastic reduction in the use of fossil fuels and a consequential aggressive pursuit for the development of clean energy systems. Hybrid renewable energy systems, ahead of single source renewable energy systems, promise to be an effective alternative to the use of fossil fuels. However, if hybrid renewable energy systems must effectively and reliably serve as an alternative to fossil fuel use, then improvements in the control and management of energy flow among the renewable energy supplies, energy storage components, and the load is of very vital significance. More intelligent and optimized, and easy-to-develop control techniques need to be introduced to replace already existing conventional techniques. And very importantly, extra measures have to be taken to ensure longer battery life and the overall safety of the system. This work is a design of a fuzzy logic-based control system for managing energy flow in a hybrid renewable energy system. A dedicated output was incorporated in the fuzzy controller for controlling the load connection status. The results showed that the fuzzy logic controller accurately emulated expert decisions in monitoring the battery state-of-charge and renewable energy supply capacities, and effectively determining and controlling the battery charging and discharging functions. The employment of fuzzy logic control in the system eliminated the need for complex and tedious mathematical modelling as required in conventional control methods. Thus the system was easier to develop.
Fuzzy logic control; renewable energy; hybrid renewable energy system; power management.Review History Comments