A multi-objective unit commitment problem combining economic and environmental criteria in a metaheuristic approach

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Roque, LAC (Author) Other; Dalila B.M.M. Fontes (Author) FEP; Fontes, Fernando A C C (Author) FEUP; Luis A C Roque (Author) FEUP

Conference proceedings International

Title: 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT RESEARCH, ICEER 2017

Pages: 362-368

4th International Conference on Energy and Environment Research (ICEER)

Porto, PORTUGAL, JUL 17-20, 2017

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 8 Citations

Other information

Authenticus ID: P-00N-89W

DOI: 10.1016/j.egypro.2017.10.290

Abstract (EN): The environmental concerns are having a significant impact on the operation of power systems. The traditional Unit Commitment problem (UCP), which minimizes the total production costs is inadequate when environmental emissions need to be considered in the operation of power plants. This paper proposes a metaheuristic approach combined with a non-dominated sorting procedure to find solutions for the multi-objective UCP. The metaheuristic proposed, a Biased Random Key Genetic Algorithm, is a variant of the random-key genetic algorithm, since bias is introduced in the parent selection procedure, as well as in the crossover strategy. (C) 2017 The Authors. Published by Elsevier Ltd.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7