Artificial Electric Field Algorithm for Optimal Power Flow Aiming Cost and Loss Minimization
C. Shilaja
C. Shilaja, Department of EEE, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
Manuscript received on 30 November 2019 | Revised Manuscript received on 19 December 2019 | Manuscript Published on 31 December 2019 | PP: 400-402 | Volume-8 Issue-4S2 December 2019 | Retrieval Number: D10891284S219/2019©BEIESP | DOI: 10.35940/ijrte.D1089.1284S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: AEFA, Cost Reduction, IEEE 30 bus System, Loss Minimization, OPF.
Scope of the Article: Artificial Intelligence and Machine Learning