Comparison of Differential Evolution and Particle Swarm Optimization for Optimizing the Power Generation Potential in Hydroelectric Power Plants using Dot Net
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2017, Vol 12, Issue 1
Abstract
This paper proposes an optimization model for the selection of turbines in order to improve the power generation potential in a Hydro Power Plant. The thermal, electrical and mechanical stresses that occur over time on the turbine affect the efficiency of the generating unit. The mathematical formulation for this problem emanates a non-linear programming problem which is therefore solved using Particle Swarm Optimization and Differential Evolution optimizing techniques. These two algorithms are then compared and the results are validated in Dot Net. The Dot Net framework is used due to its extensive security, enhanced usability and flexibility. These optimization techniques are implemented in a case study which is carried out in Murudeshwar Small Hydro Power Plant located in Narayanpur, Bijapur District, India.
Authors and Affiliations
Dipti Shiphrah Navaraj, B. Priya Esther, Nishant David Solomon
Keywords
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- EP ID EP389065
- DOI 10.9790/1676-1201034653.
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