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Optimal Capacitor Placement Considering Voltage-stability Margin with Hybrid Particle Swarm Optimization
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 Title & Authors
Optimal Capacitor Placement Considering Voltage-stability Margin with Hybrid Particle Swarm Optimization
Kim, Tae-Gyun; Lee, Byong-Jun; Song, Hwa-Chang;
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 Abstract
The present paper presents an optimal capacitor placement (OCP) algorithm for voltagestability enhancement. The OCP issue is represented using a mixed-integer problem and a highly nonlinear problem. The hybrid particle swarm optimization (HPSO) algorithm is proposed to solve the OCP problem. The HPSO algorithm combines the optimal power flow (OPF) with the primal-dual interior-point method (PDIPM) and ordinary PSO. It takes advantage of the global search ability of PSO and the very fast simulation running time of the OPF algorithm with PDIPM. In addition, OPF gives intelligence to PSO through the information provided by the dual variable of the OPF. Numerical results illustrate that the HPSO algorithm can improve the accuracy and reduce the simulation running time. Test results evaluated with the three-bus, New England 39-bus, and Korea Electric Power Corporation systems show the applicability of the proposed algorithm.
 Keywords
Optimal capacitor placement;Particle swarm optimization;Optimal power flow;Optimal var planning;Steady-state voltage stability;
 Language
English
 Cited by
1.
Empirical approach to regulate bus voltage range in power systems,;;;;;;

Journal of International Council on Electrical Engineering, 2015. vol.5. 1, pp.70-73 crossref(new window)
1.
Empirical approach to regulate bus voltage range in power systems, Journal of International Council on Electrical Engineering, 2015, 5, 1, 70  crossref(new windwow)
 References
1.
Thomas,W.R;, Dunnett, R.M.; Dixon, A.M.; Schaff, G.; Cheng, D.T.Y.; Thorp, J.D, "Optimal reactive planning with security constraints", IEEE Power Industry Computer Applications Conference, p79-84, 1995

2.
Xihui Yan, Victor H.Quintana, "Improving An Interior Point Based OPF by Dynamic Adjustments of Step Sizes and Tolerances", IEEE Trans. on Power Systems, Vol.14, No.2, 709-717, 1999 crossref(new window)

3.
H. Wei, H. Sasaki, J. Kubokawa, and R. Yokoyama, "An Interior Point Nonlinear Programming for Optimal Power Flow Problems with A Novel Data Structure", IEEE Trans. on Power Systems, Vol.13, No.3, 870-877, August 1998 crossref(new window)

4.
Victor Quintana, Geraldo Torres, "An Interior Point Method for Nonlinear Optimal Power Flow Using Voltage Reactangular Coordinates", IEEE Trans. on Power Systems, Vol.13, No.4, 1211-1218, 1998 crossref(new window)

5.
Yu-Chi Wu, Atif S.Debs, Roy E.Marsten, "A Direct Nonlinear Predictor-Corrector Primal-Dual Interior Point Algorithm for Optimal Power Flows", IEEE Trans. on Power Systems, Vol.9, No.2, 876-883, 1994 crossref(new window)

6.
Sergio Granville, Abib Lima.Maria Candida, "Application of decomposition techniques to VAr planning: methodological & computational aspects", IEEE Transactions on Power System, v.9, n.4, p1780-1786, 1994 crossref(new window)

7.
Gan.Degiang, Qu.Zhihua, Cai.Hongzhi, "Large-scale var optimization and planning by tabu search", Electric Power Systems Research, v.39,, n.3, p195-204, Dec.. 1996 crossref(new window)

8.
R.C.Eberhart and Y.Shi, "Particle swarm optimization : developments, applications and resources", Proc. Congr.Evol.Comput, p81-86, 2001

9.
M.Clerc and J.Kennedy, "The particle swarm-Explosion, stability and convergence in a multidimensional complex space", IEEE Tr

10.
"Recent approaches to global optimization problems through particle swarm optimization", Natural compution, p235-306, 2002 crossref(new window)

11.
H. Song, B. Lee, S. Kwon, V. Ajjarapu, "Reactive Reserve Base d Contingency Constrained Optimal Power Flow (RCCOPF) for Enhancement of Voltage Stability Margins", IEEE Tran., Vol. 18, p1538-1546, Nov. 2003

12.
Malihe M.Farsangi, Hossein Nezamabadi-pour and Kwang Y.Lee, "Implementation of GCPSO for Multiobjective VAr Planning with SVC and Its Comparion with GA and PSO", Intelligent Systems Applications to Power Systems, ISAP 2007, International Conference, p1-6, Nov. 2007

13.
Eghbal.M, EI-Araby, E.E., Ito.Y., Yorino.N, "A PSO Approach for VAR Planning Considering the Slow and Fast VAR Devices Prices", IEEE International Conference, Vol.3, p1849-1854, Oct., 2006

14.
Jong-Young Park, Jin-Man Sohn, Hong-Keun Park, "Optimal Capacitor Allocation in a Distribution System Considering Operation Costs", Power Systems, IEEE Trans., Vol.24, Issue1, p462-468, Feb. 2009 crossref(new window)

15.
Pedersen, M.E.H., Chipperfield, A.J. "Simplifying particle swarm optimization". Applied Soft Computing 10: 618-628, 2010 crossref(new window)

16.
Xinchao, Z., "A perturbed particle swarm algorithm for numerical optimization". Applied Soft Computing 10 (1): 119-124, 2010 crossref(new window)

17.
Poli, R., "Analysis of the publications on the applications of particle swarm optimisation". Journal of Artificial Evolution and Applications: 1-10, 2008

18.
B.Lee, H.Song, S.Kim, S.-H.Kwon, G.Jang and V.Ajjarapu, "A study on determination of interface flow limits in the KEPCO system using the modified continuation power flow", IEEE Trans. Power Systems, vol.17, no.3, Aug.2002

19.
Y. Liu, L. Ma and J. Zhang, GA/SA/TS hybrid algorithms for reactive power optimization, Proc. of IEEE Power Engineering Society Summer Meeting, Seattle, WA, USA, 1 (2000) 245-249.

20.
W. Yan, S. Lu, D.C. Yu, A novel optimal reactive power dispatch method based on an improved hybrid evolutionary programming technique, IEEE Trans. Power Systems, 19 (2004) 913-918. crossref(new window)

21.
Hwachang Song, Ryan Diolata and Young Hoon Joo, "Photovoltaic System Allocation Using Discrete Particle Swarm Optimization with Multi-level Quantization", Journal of Electrical Engineering & Technology, Vol.4, No.2, p185-193, 2009 crossref(new window)