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Analysis and Evaluation of Power Plants: A Case Study

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• First Online: 28 July 2020
• Cite this conference paper

• Sudeep Pradhan 39 ,
• Dipanjan Ghose 39 &
• Shabbiruddin 39  

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 662))

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• International Conference on Communication, Devices and Networking

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Key factors to evaluate parameters of any power plant include, low cost for investing, minimum operation and maintenance cost, and maximum efficiency. This study is about determining and agreeing to the power plants set up in Tamil Nadu, India using observational data followed by the application of Multi-Criteria Decision-Making (MCDM) analysis to rank the existing power plants according to their optimal usage and generation. Various power plants based on different sources of energy installed in the state are taken into consideration, Complex Proportional Assessment (COPRAS) method is used to specify which among them the most suitable one for optimized usage is. The acquired solution will also help in deciding the future prospects about the power plants. The methodology used for the study is a basic approach toward handling such a decision problem and can be further applied to any study of similar nature.

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Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Majitar, Rangpo, Sikkim, India

Sudeep Pradhan, Dipanjan Ghose &  Shabbiruddin

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Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Majitar, Sikkim, India

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Prashant Chandra Pradhan

Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan

Chuan-Ming Liu

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Pradhan, S., Ghose, D., Shabbiruddin (2020). Analysis and Evaluation of Power Plants: A Case Study. In: Bera, R., Pradhan, P.C., Liu, CM., Dhar, S., Sur, S.N. (eds) Advances in Communication, Devices and Networking. ICCDN 2019. Lecture Notes in Electrical Engineering, vol 662. Springer, Singapore. https://doi.org/10.1007/978-981-15-4932-8_4

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DOI : https://doi.org/10.1007/978-981-15-4932-8_4

Published : 28 July 2020

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