Interior search algorithm for optimal power flow with non-smooth cost functions

Autor: Bachir Bentouati, Saliha Chettih, Lakhdar Chaib
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Cogent Engineering, Vol 4, Iss 1 (2017)
Druh dokumentu: article
ISSN: 2331-1916
23311916
DOI: 10.1080/23311916.2017.1292598
Popis: The optimal power flow (OPF) problem considers as an optimization problem, in which the utility strives to reduce its global costs while pleasing all of its constraints. Therefore, Interior Search Algorithm (ISA) is applied to treat this problem. Where, ISA is a specific type of artificial intelligence and a mathematical programming, not a meta- heuristic algorithm. The effectiveness of this method in solving the OPF problem is evaluated on two test power systems, the IEEE 30-bus and the IEEE 57-bus test systems. For the first example, the ISA-OPF algorithm finds an answer that agrees with published results. For the 57-bus system, the ISA-OPF demonstrates its ability to transact with larger systems. Thus, the ISA-OPF algorithm is shown to be a robust tool to treat this optimization compared with other methods. Moreover, the advantage of ISA is that it has only one parameter of control which makes the simplicity in the main algorithm.
Databáze: Directory of Open Access Journals
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