Analysis of the influence of loads distribution of hydropower stations on the results of optimization algorithms

DOI

10.2991/iceat-16.2017.59How to use a DOI?

Keywords

loads distribution, consumption flow, power generation, model, algorithm

Abstract

Aiming to solve the problem: the conventional loads distribution of hydropower stations calculated by single model corresponding to multiple optimal algorithms, the way that various models corresponding to multiple optimal algorithms are proposed in the paper. According to characteristics and tasks of hydropower station, loads distribution models should be chosen reasonably. Genetic Algorithms, Simulated Annealing Algorithm, Particle Swarm Optimization Algorithm are introduced different loads distribution models respectively to calculate examples that undertaking different tasks of hydropower stations. When the Particle Swarm Optimization Algorithm is applied to calculate the minimum flow consumption model, because of its fast convergence and strong optimization ability and other characteristics, it is regarded as the best one among the three algorithms; Simulated Annealing Algorithm is in the calculation of the maximum power output model re-flecting the greater advantage.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lin ZHANG
AU  - GuoLi WANG
AU  - YiMin WANG
PY  - 2016/05
DA  - 2016/05
TI  - Analysis of the influence of loads distribution of hydropower stations on the results of optimization algorithms
BT  - Proceedings of the 2016 International Conference on Engineering and Advanced Technology
PB  - Atlantis Press
SP  - 285
EP  - 291
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceat-16.2017.59
DO  - 10.2991/iceat-16.2017.59
ID  - ZHANG2016/05
ER  -