Security Constrained Optimal Power Flow Problem Solution with Practical Constraints using HALOA
M. Balasubbareddy, Electrical and Electronics Department, Chaitanya Bharathi Institute of Technology, Hyderabad, India.
Manuscript received on December 16, 2019. | Revised Manuscript received on December 22, 2019. | Manuscript published on January 10, 2020. | PP: 689-695 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8376019320/2020©BEIESP | DOI: 10.35940/ijitee.C8376.019320
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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: To solve the OPF problems with three objective functions like fuel cost minimization, emission and power loss. The proposed algorithm is hybridizing conventional Anti Lion optimization algorithm with Genetic algorithm. The considered objectives are solved by considering the equality and in-equality constraints along with practical constraints. The effectiveness of the proposed method is tested on the IEEE 30 bus test system and compared with existing literature. The proposed method gives the best optimal values for the minimizing the considered objectives.
Keywords: Ant lion Optimization, OPF, Practical constraints, Crossover Operation, Generation fuel cost, Emission, Transmission loss.
Scope of the Article: Cross Layer Design and Optimization