Optimization of Hybrid Renewable Energy System Using Homer
D. Suchitra1, R. Rajarajeswari2, Joydeep Dasgupta3
1D. Suchitra, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
2R. Rajarajeswari, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
3Joydeep Dasgupta, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
Manuscript received on 16 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 2542-2550 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B13010982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1301.0982S1119
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: In this modern epoch Sustainable Energy Resources (SER) takes an upper hand in meeting the rise in power demand. Over the last few years, the increasing electrical power demand has prompted an incredible need for power from sustainable energy sources. The irradiation from solar, wind turbines are pondered as the main source of power generation since they supplement one another. For the general development of the economy, it is important that the agro-based economy would lead to the growth of the country. It is neither achievable nor affordable to dispatch power in the far away locales for a scarcely populated town. In this paper, the supplanting of energy sources with the sustainable power sources utilizing HOMER programming is performed. An independent sustainable power sources (ISPS) is used to meet the load and the cost is evaluated. The work is performed for real time data under different schemes like PV, wind and its combination. The optimization of operating cost under two scenario of using the ISPS (either PV or Wind) and using both PV & wind for real-time input taken from Sicud village in Philippines and Laboratory load data of SRMIST in India is performed. The comparison of the operating cost for the two region under two cases is executed and analyzed.
Keywords: Optimization Renewable Energy Power Generation Real Time Data.
Scope of the Article: Renewable Energy Technology