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Energies 2016, 9(9), 678; doi:10.3390/en9090678

Optimal Power Flow Using the Jaya Algorithm

1
Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
2
Centre for Advanced Power and Energy Research, Faculty of Engineering, University Putra Malaysia, Serdang 43400, Selangor, Malaysia
3
Technical Institute Shatra, Southern Technical University, Foundation of Technical Education, Ministry of Higher Education & Scientific Research, Thi-qar 64001, Iraq
*
Author to whom correspondence should be addressed.
Academic Editor: Ying-Yi Hong
Received: 7 July 2016 / Revised: 7 August 2016 / Accepted: 19 August 2016 / Published: 25 August 2016
(This article belongs to the Special Issue Electric Power Systems Research 2017)
View Full-Text   |   Download PDF [3298 KB, uploaded 25 August 2016]   |  

Abstract

This paper presents application of a new effective metaheuristic optimization method namely, the Jaya algorithm to deal with different optimum power flow (OPF) problems. Unlike other population-based optimization methods, no algorithm-particular controlling parameters are required for this algorithm. In this work, three goal functions are considered for the OPF solution: generation cost minimization, real power loss reduction, and voltage stability improvement. In addition, the effect of distributed generation (DG) is incorporated into the OPF problem using a modified formulation. For best allocation of DG unit(s), a sensitivity-based procedure is introduced. Simulations are carried out on the modified IEEE 30-bus and IEEE 118-bus networks to determine the effectiveness of the Jaya algorithm. The single objective optimization cases are performed both with and without DG. For all considered cases, results demonstrate that Jaya algorithm can produce an optimum solution with rapid convergence. Statistical analysis is also carried out to check the reliability of the Jaya algorithm. The optimal solution obtained by the Jaya algorithm is compared with different stochastic algorithms, and demonstrably outperforms them in terms of solution optimality and solution feasibility, proving its effectiveness and potential. Notably, optimal placement of DGs results in even better solutions. View Full-Text
Keywords: optimal power flow; Jaya algorithm; generation cost; power losses; voltage stability enhancement; distributed generation optimal power flow; Jaya algorithm; generation cost; power losses; voltage stability enhancement; distributed generation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Warid, W.; Hizam, H.; Mariun, N.; Abdul-Wahab, N.I. Optimal Power Flow Using the Jaya Algorithm. Energies 2016, 9, 678.

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