### Abstract

The Brazilian population increase and the purchase power growth have resulted in a widespread use of electric home appliances. Consequently, the demand for electricity has been growing steadily in an average of 5% a year. In this country, electric demand is supplied predominantly by hydro power. Many of the power plants installed do not operate efficiently from water consumption point of view. Energy Dispatch is defined as the allocation of operational values to each turbine inside a power plant to meet some criteria defined by the power plant owner. In this context, an optimal scheduling criterion could be the provision of the greatest amount of electricity with the lowest possible water consumption, i.e. maximization of water use efficiency. Some power plant operators rely on “Normal Mode of Operation” (NMO) as Energy Dispatch criterion. This criterion consists in equally dividing power demand between available turbines regardless whether the allocation represents an efficient good operation point for each turbine. This work proposes a multiobjective approach to solve electric dispatch problem in which the objective functions considered are maximization of hydroelectric productivity function and minimization of the distance between NMO and “Optimized Control Mode” (OCM). Two well-known Multiobjective Evolutionary Algorithms are used to solve this problem. Practical results have shown water savings in the order of million m^{3/s}. In addition, statistical inference has revealed that SPEA2 algorithm is more robust than NSGA-II algorithm to solve this problem.

Original language | English |
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Title of host publication | Evolutionary multi-criterion optimization |

Subtitle of host publication | 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part II |

Editors | António Gaspar-Cunha, Carlos Henggeler Antunes, Carlos Coello Coello |

Place of Publication | Cham (CH) |

Publisher | Springer |

Pages | 403-417 |

Number of pages | 15 |

ISBN (Electronic) | 978-3-31915891-4 |

DOIs | |

Publication status | Published - 2015 |

Event | 8th International Conference on Evolutionary Multi-Criterion Optimization - Guimarães, Portugal Duration: 29 Mar 2015 → 1 Apr 2015 |

### Publication series

Name | Lecture Notes in Computer Science |
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Publisher | Springer |

Volume | 9019 |

ISSN (Print) | 0302-9743 |

ISSN (Electronic) | 1611-3349 |

### Conference

Conference | 8th International Conference on Evolutionary Multi-Criterion Optimization |
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Abbreviated title | EMO 2015 |

Country | Portugal |

City | Guimarães |

Period | 29/03/15 → 1/04/15 |

### Keywords

- energy efficiency
- multiobjective optimization
- NSGA-II
- SPEA2

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## Cite this

*Evolutionary multi-criterion optimization: 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part II*(pp. 403-417). (Lecture Notes in Computer Science; Vol. 9019). Springer. https://doi.org/10.1007/978-3-319-15892-1_27