Open AccessArtificial Electric Field Algorithm for Optimal Power Flow Aiming Cost and Loss Minimization
Author(s) -
C. Shilaja,
C,
M Adaryani,
A Karami,
A Abou El Ela,
M Abido,
S Spea,
M Varadarajan,
K Swarup,
M Abido,
H Chen,
M Bo,
Y Zhu,
C Shilaja,
K Ravi,
C Shilaja,
K Ravi,
C Shilaja,
T Arunprasath,
Anita,
A Yadav
Publication year - 2019
Publication title -
international journal of recent technology and engineering (ijrte)
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d1089.1284s219
Subject(s) - minification , power flow , electric power system , mathematical optimization , electric power , computer science , transmission loss , power (physics) , field (mathematics) , algorithm , power transmission , mathematics , telecommunications , physics , quantum mechanics , pure mathematics
Optimal Power Flow (OPF) is a vital concern in a Electric power Network. Because of the intricacy and incoherence of strictures, the conventional formulations are not suitable to solve the problem. Hence, this study aims to resolve OPF problem consisting the objectives, by reducing the generation cost and Minimizing the Transmission power losses. So, the incessant and intermittent variables take part in the problem formulation. Artificial Electric Field Algorithm (AEFA) have been suggested to resolve the OPF problem. The simulations have been performed on IEEE -30-bus test system. The outcomes have been matched with other algorithms to exemplify the efficiency and heftiness of AEFA.
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