A New Meta Heuristic Dragonfly Optimizaion Algorithm for Optimal Reactive Power Dispatch Problem
A New Meta Heuristic Dragonfly Optimizaion Algorithm for Optimal Reactive Power Dispatch Problem
This research accesses a novel approach of utilising an advanced Meta–heuristic Optimizationtechnique with a single objective to pledge with optimal reactive power dispatch problem inelectrical power system network. The prime focus of reactive power dispatch is to curtail thetotal active power loss in transmission lines. In this detailed study, the dragonfly algorithm wasrealized on standard IEEE-14 bus and 30 bus systems. The outcome of dragonfly algorithmlucidly indicate the capablity of increasing the antecedent random population size for a liableglobal optimization problem, focalized close to the global optimum and contributing preciseoutcome results related to another popular algorithm.
___
- Sreejith, S., Sishaj P Simon., and Selvan M.P., “Performance Comparison of FACTS Devices For
Steady State Power Flow Control”, International Review on Modeling and Simulations, 5(2): 576-
587, (2012).
- Sreejith, S., Sishaj P Simon., and Selvan M.P., “Optimal Location of Interline Power Flow
Controller in a Power System Network using DE Algorithm”, International Review on Modeling
and Simulations, 5(2): 690-701, (2012).
- Dommel, H.W., Tinney, W.F., “Optimal power flow solutions”, IEEE Transactions On power
Apparatus and Systems, 87(10): 1866-1876, (1968).
- Lee, K.Y., Park, Y.M., Ortiz, J.L., “United approach to optimal real and reactive power dispatch”,
IEEE Transactions on Power Apparatus and Systems, 104(5): 1147-1153, (1985).
- Sun, D.I., Ashley, B., Brewar., A., Hughes, W.F., and Tinny, “Optimal power flow by Newton
approach”, IEEE Transactions on Power Apparatus and Systems, 103(10): 2864-2880, (1984).
- Quintana, V.H., Santos-Nieto, M., “Reactive-power dispatch by successive quadratic
programming”, IEEE Transactions on Energy Conversion, 4(3): 425–435, (1989).
- Deeb, N.I., Shahidehpour, S.M., “An efficient technique for reactive power dispatch using a
revised linear programming approach”, Electric Power System Research, 15(2): 121–134, (1988).
- Granville, S., “Optimal reactive power dispatch through interior point methods”, IEEE
Transactions on Power Systems, 9(1): 136–146, (1994).
- Subbaraj, P., Rajnarayanan, P.N., “Optimal reactive power dispatch using self-adaptive real coded
genetic algorithm”, Electric Power System Research, 79(2): 374-381, (2009).
- Haibo Zhang., Lizi Zhang., and Fanling Meng., “Reactive power Optimization Based on Genetic
Algorithm”, Power System Technology, 2: 1448-1453, (1998).
- Subbaraj, P., Rajnarayanan, P.N., “Optimal reactive power dispatch by particle swarm
optimization with Cauchy and adaptive mutations”, International Conference on Recent Trends in
Information, Telecommunication and Computing, 110-115, (2010).
- Yoshida, H., Kawata, K., Fukuyama,Y., Takayama, S., Nakanishi, Y., “A particle swarm
optimization for reactive power and voltage control considering voltage security assessment”,
IEEE Transactions on Power Systems, 15(4): 1232-1239, (2000).
- Abido, M.A., “Optimal power flow using particle swarm optimization”, International Journal of
Electrical Power & Energy Systems, 24(7): 563–571, (2002).
- Liang, C.H., Chung, C.Y., Wong, K.P., Duan, X.Z., Tse, T.C., “Study of differential evolution for
optimal reactive power flow”, IET Generation, Transmission & Distribution, 1(2): 253–260,
(2007).
- Varadarajan, M., Swarup, K.S., “Differential evolutionary algorithm for optimal reactive power
dispatch”, Electrical power and Energy Systems, 30(8): 435-441, (2008).
- Varadarajan, M., Swarup, K.S., “Differential evolution approach for optimal reactive power
dispatch”, Applied Soft Computing, 8(4): 1549-1561, (2008).
- Chung, C.Y., Liang, C.H., Wong, K.P., Duan, X.Z., “Hybrid algorithm of differential evolution and
evolutionary programming for optimal reactive power flow”, IET Generation, Transmission &
Distribution, 4(1): 84-93, (2010).
- Liang C.H., Chung, C.Y., Wong, K.P., Duan, X.Z., “Comparison and improvement of evolutionary
programming techniques for power system optimal reactive power flow”, IEE ProceedingsGeneraion,
Transmission and Distribution, 153(2): 228-236, (2006).
- Ionescu, C.F., Eremia, M., Bulac, C., “Reactive Power Optimization using Evolutionary
Techniques: Differential Evolution and Particle Swarm.” Intelligent System Application to Power
System ( ISAP), 16th International Conference on 25-28, 1-5, (2011).
- Abou El Ela, A.A., Abido, M.A., Spea, S.R., “Differential evolution algorithm for optimal reactive
power dispatch”, Electric Power System Research, 81(2): 458-464, (2011).
- Kursat Ayan, Ulas kilic, “Artificial bee colony algorithm solution for optimal reactive power flow”,
Applied Soft Computing, 12(5): 1477–1482, (2012).
- Yuancheng Li, Yiliang Wang, Bin Li, “A hybrid artificial bee colony assisted differential evolution
algorithm for optimal reactive power flow”, International Journal of Electrical Power & Energy
Systems, 52: 25-33, (2013).
- Duman, S., Sonmez,Y., Guvenc, U., and Yorukeren, N., “Optimal reactive power dispatch using a
gravitional search algorithm”, IET Generation, Transmission & Distribution, 6(6): 563-576, (2012).
- Kanagasabai Lenin, Bhumanapally Ravindhranath Reddy, and Mungala Suryakalavathi, “Hybrid
Tabu search-simulated annealing method to solve optimal reactive power problem”, International
Journal of Electrical Power & Energy Systems, 82: 87-91, (2016).
- Suliaman, M.H., Mohd Rashid, M.I., Aliman,O., Mohammed, M.R., Ahamad,A.Z., and Bakar,
M.S., “Loss minimization by Optimal reactive power dispatch using Cuckoo search Algorithm”, 3rd
IET International Conference on Clean Energy and Technology, 1-4, (2014).
- Souhil Mouassa, Tarek Bourktir, Ahmed. Salhi, “Ant lion optimization for solving optimal reactive
power dispatch problem in power system”, Engineering Science and Technology, an International
Journal, 20(3):885-895, (2017).
- Ali Asghar Heidari., Rahim Ali Abbaspouri., Ahmad Rezaee Jordehi., “Gaussian bare-bones water
cycle algorithm for optimal reactive power dispatch in electrical power systems”, Applied Soft
Computing, 57:657-671, (2017).
- Wood, A.J., Wollenberg, B.F., “Power generation operation and control”, 2nd ed., John Wiley &
Sons, New York, (1996).
- Saadat H., “Power system analysis”, 2nd ed., McGraw-Hill, New york, (2002).
- Kartik Pandya, S., “Optimal Reactive Power Dispatch ( ORPD) Using Particle Swarm
Optimization (PSO)”, ( email: kartikpandya.ee@ecchanga.ac.in).
- Mirjalili,S., "Dragonfly Algorithm: A New Meta-heuristic Optimization Technique for Solving
Single-objective, Discrete, and Multi-objective Problems", Neural Computing and Applications,
27(4): 1053-1073, (2016).
- Power system test case archive, Available at http:// www.ee.washington.edu / research / pstca.
- Youcef Amrane, Mohamed Boudour, Ahmed Amine Ladjici, Ali Elmaouhab, “Optimal VAR
control for real power loss minimization using differential evolution algorithm”, Electrical Power
and Energy System, 66: 262-271, (2015).