Modified genetic algorithm with simulated annealing applied to optimal load dispatch of the Three Gorges Hydropower Plant in China |
| |
| Authors: | Yizi Shang Qixiang Fan Ling Shang Zhiyu Sun Ge Xiao |
| |
| Institution: | 1. State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing, China;2. China Three Gorges Corporation, Beijing, China;3. China Three Gorges Corporation, Beijing, China;4. Nanjing Vocational College of Information Technology, Nanjing, China |
| |
| Abstract: | A method is presented for optimal load dispatch in large-scale hydropower plants using a genetic algorithm integrated with simulated annealing. The genetic algorithm overcomes dependence on an initial value and provides parallel processing and fast convergence, whereas simulated annealing prevents prematurity and retrieving of the local instead of the global optimum. Thus, the integrated genetic-simulated annealing algorithm improves efficiency and robustness to obtain solutions close to the global optimum. We evaluated the proposed algorithm to determine the optimal load dispatch of 32 units of the Three Gorges Hydropower Plant in China. Test results show that the minimum water consumption obtained using the proposed algorithm is similar to the optimum obtained from a previously proposed “improved” genetic algorithm when the total load of the plant is relatively high. However, for reduced load, the proposed algorithm clearly outperforms the “improved” genetic algorithm. |
| |
| Keywords: | hydropower plant optimal load dispatch genetic algorithm simulated annealing global optimum |
|
|
