Optimization of Mang^ala Hydropower Station, Pakistan, using Optimization Techniques

¹ Research center of Fluid Machinery Engineering & Technology, Jiangsu University, P.R. China.
² Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Pakistan.
³ Center of Excellence in Water Resources, University of Engineering & Technology, Lahore, Pakistan.
⁴ School of Agricultural Equipment Engineering, Jiangsu University, P.R. China.
⁵ Department of Structures & Environmental Engineering, University of Agriculture, Faisalabad, Pakistan.
⁶ School of Environment and safety Engineering, Jiangsu University, P.R. China.

^a Corresponding author: muhammad.zaman@uaf.edu.pk

Abstract

Hydropower generation is one of the key element in the economy of a country. The present study focusses on the optimal electricity generation from the Mangla reservoir in Pakistan. A mathematical model has been developed for the Mangla hydropower station and particle swarm and genetic algorithm optimization techniques were applied at this model for optimal electricity generation. Results revealed that electricity production increases with the application of optimization techniques at the proposed mathematical model. Genetic Algorithm can produce maximum electricity than Particle swarm optimization but the time of execution of particle swarm optimization is much lesser than the Genetic algorithm. Mangla hydropower station can produce up to 59*10⁹ kWh electricity by using the flows optimally than 47*10⁸ kWh production from traditional methods.