Optimal Power Flow Using Modified Grey Wolf Optimizer
| Author(s) | : | Mitesh G. Patel, Mr. Umesh L. Makwana |
| Institution | : | M.E student, Electrical Engineering, L. D. College of Engineering, Ahmedabad-380015, India |
| Published In | : | Vol. 5, Issue 4 — April 2018 |
| Page No. | : | 1016-1023 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
This paper presents the use of an artificial intelligence tool Grey Wolf Optimizer (GWO) for solving OptimalPower Flow (OPF) problem. The Optimal Power Flow (OPF) is a non-linear optimization problem in which the controlparameters of the power network are optimized for a specific objective. Optimal Reactive Power Dispatch (ORPD) is asub-problem of optimal power flow. The meta-heuristic tool Grey wolf optimizer is tested on two test cases IEEE-30 bussystem and IEEE-118 bus system for minimization of active power Losses and voltage deviation. The Grey WolfOptimizer was then modified and newly developed Modified Grey Wolf Optimizer (mGWO) was tested on both the testcase IEEE-30 bus test case and IEEE-118 Bus system Again. The simulation results are compared with other artificialintelligence methods in literature.
Mitesh G. Patel, Mr. Umesh L. Makwana, “Optimal Power Flow Using Modified Grey Wolf Optimizer”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 4, pp. 1016-1023, April 2018.
