| Autor: |
Zaman Muhammad, Yuan Shouqi, Liu Junping, Ahmad Ijaz, Ali Buttar Noman, Saifullah Muhammad, Nawaz Muhammad Imran. |
| Jazyk: |
English<br />French |
| Rok vydání: |
2017 |
| Předmět: |
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| Zdroj: |
MATEC Web of Conferences, Vol 136, p 02010 (2017) |
| Druh dokumentu: |
article |
| ISSN: |
2261-236X |
| DOI: |
10.1051/matecconf/201713602010 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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