Optimal Power Flow Using Firefly Algorithm with Unified Power Flow Controller
- 1 Department of Electrical and Electronics Engineering, Dhirajlal Gandhi College of Technology, Salem, India
- 2 Department of Electrical and Electronics Engineering, Vel Tech MultiTech, Avadi, Chennai, India
Abstract
Firefly algorithm is the new intelligent algorithm used for all complex engineering optimization problems. Power system has many complex optimization problems one of which is the optimal power flow (OPF). Basically, it is minimizing optimization problem and subjected to many complex objective functions and constraints. Hence, firefly algorithm is used to solve OPF in this paper. The aim of the firefly is to optimize the control variables, namely generated real power, voltage magnitude and tap setting of transformers. Flexible AC Transmission system (FACTS) devices may used in the power system to improve the quality of the power supply and to reduce the cost of the generation. FACTS devices are classified into series, shunt, shunt-series and series-series connected devices. Unified power flow controller (UPFC) is shunt-series type device that posses all capabilities to control real, reactive powers, voltage and reactance of the connected line in the power system. Hence, UPFC is included in the considered IEEE 30 bus for the OPF solution.
- Deb, K. (2001) Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, UK.
- Momoh, J.A., El-Hawary, M.E. and Adapa, R. (1999) A Review of Selected Optimal Power Flow Literature to 1993. I. Nonlinear and Quadratic Programming Approaches. IEEE Transactions on Power Systems, 14, 96-104. http://dx.doi.org/10.1109/59.744492
- Momoh, J.A., El-Hawary, M.E. and Adapa, R. (1999) A Review of Selected Optimal Power Flow Literature to 1993. II. Newton, Linear Programming and Interior Point Methods. IEEE Transactions on Power Systems, 14, 105-111. http://dx.doi.org/10.1109/59.744495
- Alrashidi, M. and El-Hawary, M. (2009) Applications of Computational Intelligence Techniques for Solving the Revived Optimal Power Flow Problem. Electric Power Systems Research, 79, 694-702. http://dx.doi.org/10.1016/j.epsr.2008.10.004
- Varadarajan, M. and Swarup, K.S. (2008) Differential Evolution Approach for Optimal Reactive Power Dispatch Differential Evolution Approach for Optimal Reactive Power Dispatch. Applied Soft Computing, 8, 1549-1561. http://dx.doi.org/10.1016/j.asoc.2007.12.002
- Lee, K.Y., Park, Y.M. and Ortiz, J.L. (1985) A United Approach to Optimal Real and Reactive Power Dispatch. IEEE Transactions on Power Apparatus and Systems, 104, 1147-1153. http://dx.doi.org/10.1109/TPAS.1985.323466
- Wu, Q.H. and Ma, J.T. (1995) Power System Optimal Reactive Power Dispatch Using Evolutionary Programming. IEEE Transactions on Power Systems, 10, 1243-1249. http://dx.doi.org/10.1109/59.466531
- Iba, K. (1994) Reactive Power Optimization by Genetic Algorithm. IEEE Transactions on Power Systems, 9, 685-692. http://dx.doi.org/10.1109/59.317674
- Alsac, O., Bright, J., Prais, M. and Stott, B. (1990) Further Developments in LP-Based Optimal Power Flow. IEEE Transactions on Power Systems, 5, 697-711. http://dx.doi.org/10.1109/59.65896
- Chebbo, A.M. and Irving, M.R. (1995) Combined Active and Reactive Power Dispatch. Part 1. Problem Formulation and Solution Algorithm. IEE Proceedings—Generation, Transmission and Distribution, 142, 393-400. http://dx.doi.org/10.1049/ip-gtd:19951976
- Sun, D.I., Ashley, B., Brewer, B., Hughes, A. and Tinney, W.F. (1984) Optimal Power Flow by Newton Approach. IEEE Transactions on Power Apparatus and Systems, 103, 2864-2878. http://dx.doi.org/10.1109/TPAS.1984.318284
- Aoki, K., Fan, M. and Nishikori, A. (1988) Optimal VAR Planning by Approximation Method for Recursive Mixed-Integer Linear Programming. IEEE Transactions on Power Systems, 3, 1741-1747. http://dx.doi.org/10.1109/59.192990