TY - JOUR T1 - Multi-objective optimization of hydropower reservoir operation Case study, Karoon 5 TT - بهینه‌سازی چندهدفه بهره‌برداری از مخزن برقابی مطالعه موردی: سد کارون 5 JF - Iranian-Hydropower-Association JO - Iranian-Hydropower-Association VL - 8 IS - 30 UR - http://journal.hydropower.org.ir/article-1-412-en.html Y1 - 2021 SP - 24 EP - 32 KW - Peak consumption KW - Peak Load KW - Neural Network KW - Electricity Network KW - PAB N2 - Near the most of real-world decision-making issues, especially in the water resource management area, are multi-objective issues that are taken based on different and conflicting goals. Due to the wide range of application of these issues, different models have been proposed to solve them, NSGA-II and MOPSO are the most important of these multi-objective optimization models. The purpose of this study is to compare the performance of NSGA-II and MOPSO algorithms in solving multi-objective optimal operation of a hydropower reservoir. Due to the fact that the hydropower reservoirs are involved in providing the peak load of the network electricity, a neural network to predict daily energy prices in peak hours was developed initially, then the results were used to optimize the multi-objective operation of Karun 5 Dam reservoir, includes two goals of maximizing annual income and maximizing minimum daily energy production. Although the run time of the NSGA-II method is about twice as high as the MOPSO, the precision of its results is 20% better for both purposes than MOPSO. M3 ER -