Abstract
Optimal Reactive Power Dispatch (ORPD) which is a section of optimal power flow is considered as an important optimization problem in the sector of electrical power systems. With the help of ORPD, the operators have control over the voltage limits to retrench the true power losses in transmission lines. This paper proposes multi objective ORPD using Modified Ant Lion Optimizer (MALO). Formulation of ORPD is performed by considering the output voltages of generators, tap changing transformers and switchable capacitor devices. MALO is recently developed metaheuristic optimization technique. This technique is applied on the IEEE 30 bus systems by considering different cases like minimization of active power los, achievement of good voltage profile individually and combination of both the objectives consider as multi objective. For the purpose of multi objective optimization weighted sum optimization technique has been used. It is observed that with multi objective optimization both the objectives optimized effectively and produce the better results. The result shows that performance of the system is improved with MALO as compared to PSO, BA, GWO, TS, SA and HTSSA methods.
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Abbreviations
- ACO:
-
Ant colony optimization
- AI:
-
Artificial intelligence
- NSGA:
-
Non-domination based genetic algorithm
- BA:
-
Bat algorithm
- GA:
-
Genetic algorithms
- GWO:
-
Grey wolf optimization
- MALO:
-
Modified ant lino optimizer
- IEEE:
-
Institute of electrical and electronics engineers
- ORPD:
-
Optimal reactive power dispatch
- PSO:
-
Particle swarm optimization
- TS:
-
Tabu search
- SA:
-
Simulated annealing
- HTSSA:
-
Hybrid taguchi salp swarm algorithm
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Chaitanya, S.N.V.S.K., Bakkiyaraj, R.A. & Rao, B.V. Multi objective optimal reactive power dispatch for enrichment of power system behavior using modified ant lion optimizer. Int J Syst Assur Eng Manag 14 (Suppl 1), 133–142 (2023). https://doi.org/10.1007/s13198-022-01828-6
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DOI: https://doi.org/10.1007/s13198-022-01828-6