Techno Economic Evaluation of a Hybrid Energy System
D. Sattianadan1, R. Sridhar2, S. George Fernandez3, C. S. Boopathi4
1D. Sattianadan, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2R. Sridhar, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3S. George Fernandez, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4C. S. Boopathi, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 16 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 2575-2579 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B13070982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1307.0982S1119
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: Use of renewable electricity resources has proved to be a more reliable and cleaner solution now-a-days. Photovoltaic units, wind turbine units have been considered as these are the most commonly used renewable energy generators today, but these generators involve high values of losses and are highly expensive. This paper presents a multi objective optimization using the Matlab GAtool. The algorithm is executed on a test system of 69 buses. The results of the case study show that proper positioning of renewable energy generators and sizing can lead to improvement in voltage profile, reduction in power losses and reduction in cost. Cost analysis of this framework is performed using Homer Pro3.8.1 which shows that this hybrid energy system is more efficient and economical than using of a single renewable electricity generator or combinations of renewable electricity generators of different sizes for a variable load profile. The advantages of this algorithm include its accuracy, calculation speed and the reduced values.
Keywords: Renewable Energy, Optimal Sizing and Positioning, Cost Analysis.
Scope of the Article: Economics of Energy Harvesting Communications