Adaptable SVC Design Methodology for Power Quality Improvements in Steel Melting Shops
Santosh E1, Anguraja R2
1Santosh E*, Department of Electrical and Electronics Engineering, Don Bosco Institute of Technology, Bengalore, India.
2Anguraja R, Department of Electrical and Electronics Engineering, Don Bosco Institute of Technology, Bengalore, India.
Manuscript received on July 19, 2020. | Revised Manuscript received on July 27, 2020. | Manuscript published on August 10, 2020. | PP: 429-432 | Volume-9 Issue-10, August 2020 | Retrieval Number: 100.1/ijitee.J75950891020 | DOI: 10.35940/ijitee.J7595.0891020
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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: In 2019, India was the second-largest steel producer with total crude steel production of 112.3 metric ton . There were lots of development actions taken in the starting of 90’s to promote more investments on producing steel and making it a bigger industry supporting country’s economy. Even though large amount of produced steel is utilized within the country for infrastructure, automobile and other consumable industries, still India is the seventh-largest exporter of steel. Also, Steel industries are not new to India. The oldest was TISCO and it started its production in 1907. Being said that, we have come long way in technology and science that all the steel plants need to be modernized and adapted to become more efficient, economical and productive. This paper presents one of such technology that being developed in the modern engineering word to make it adaptable in the steel industries where – Efficiency, energy consumption, quality and production can be improved significantly.
Keywords: Steel melting shop, SVC, Harmonics, Passive filters.
Scope of the Article: Natural Language Processing and Machine Translation