Simulation of Hydropower Systems Operation using Artificial Neural Network
Majid Fereidoon1, Majid Najimi2, Gholamreza Khorasani3
1Majid Fereidoon (Corresponding author), Dept. of Civil and Environmental Engineering, Amirkabir Univ. of Tech., Tehran.
2Majid Najimi, Dept. of Civil and Environmental Engineering, Amirkabir Univ. of Tech., Tehran.
3Gholamreza Khorasani, Department of Civil Engineering, University Putra Malaysia, Kuala Lumpur, Malaysia.
Manuscript received on October 11, 2013. | Revised Manuscript received on October 15, 2013. | Manuscript published on October 25, 2013. | PP:86-89 | Volume-1, Issue-12, October 2013. | Retrieval Number: L05341011213/2013©BEIESP
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© The Authors. Published By: 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: This paper presents a simulation model for hydropower systems. Reliability-Based Simulation (RBS) model is a common tip for simulation of Hydropower systems. This method is based on determination of power generation capacity using iteration process mentioned initial firm energy. Also, in this method energy equation is implicit and solving it requires the iteration process too. This method is time consuming especially in multi-reservoir systems. Using Artificial Neural Network (ANN) the desired parameter such as releases from reservoir can be obtained more quickly.
Keywords: RBS model, Hydropower systems, Artificial Neural Network.