Power Management and Control of Multi-Input Multi-Output Renewable Energy System Using ANFIS Controller
K. Kiran Kumar1, P. Sai Sandeep2
1K. Kiran Kumar, Department of Electrical and Electronics Engineering, SRKR Engineering College, Bhimavaram (Andhra Pradesh), India.
2P. Sai Sandeep, Department of Electrical and Electronics Engineering, SRKR Engineering College, Bhimavaram (Andhra Pradesh), India.
Manuscript received on 12 May 2019 | Revised Manuscript received on 06 June 2019 | Manuscript Published on 15 June 2019 | PP: 224-226 | Volume-8 Issue-1S3 June 2019 | Retrieval Number: A10390681S319/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: One of the imperative goals in the electrical system is to enhance the utilization of renewable energy sources due to environmental conditions. Since non-conventional energy sources are incorporated into the electrical system, reducing the utilization of conventional energy source. Nowadays, several researchers have been focused on the deficit of resources so if to creating awareness on the renewable energy sources. In the electrical system, the power management system is momentous to obtain the maximum amount of output power from multi-input and multi-output renewable energy systems. Therefore, this paper concentrated on designing of adaptive neuro-fuzzy controller (ANFIS) controller in multi-input and multi-output power management system of small scale electrical systems and to get the better achievement of utilization of electrical energy from renewable energy systems.The ANFIS having adaptability nature, due to that it reduces error value near to zero. Therefore the efficiency of the system is increases and losses are reduces, these are enhances the system performance to greater extent. The simulation has been carried out by Matlab/Simulink along with the response of the system is compared with conventional and fuzzy logic controllers in the presence of power flow, voltage and frequency.
Keywords: Renewable Energy Sources, Distributed Power Generation, ANFIS Controller, Multi Input and Multi-Output Management, Energy Systems, Conventional Energy Sources.
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks