An Improved Cuckoo Search Algorithm for Voltage Stability Enhancement in Power Transmission Networks
Many optimization techniques available in the literature have been developed in order to solve the problem of voltage stability enhancement in power systems. However, there are a number of drawbacks in the use of previous techniques aimed at determining the optimal location and size of reactive compensators in a network. In this paper, an Improved Cuckoo Search algorithm is applied as an appropriate optimization algorithm to determine the optimum location and size of a Static Var Compensator (SVC) in a transmission network. The main objectives are voltage stability improvement and total cost minimization. The results of the presented technique are then compared with other available optimization techniques.
[1] Mohammadi, M., Gitizadeh, M. and Roosta, A. (2012). Dynamic Stability Improvement of a Power System Incorporating DFIG Wind Power Plant Using Optimized Control Parameters of a SVC. IEEE International Power Engineering and Optimization Conference (PEOCO), 416-421.
[2] Dhal, P. K. and Rajan, C. C. A. (2012). Transient Stability Improvement Using Neuro Fuzzy Controller Design for STATCOM. IEEE International Conference on Advance in Engineering and Management (ICAESM), 2(2), 37-45.
[3] Sunil, T. P. and Loganathan, N. (2012). Power Quality Improvement of a Grid Connected Wind Energy Conversion System with Harmonics Reduction Using FACTS Devices. IEEE International Conference on Advances in Engineering Management (ICAESM), 415.
[4] Duttal, P. and Sinha, A. K. (2006). Voltage Stability Constrained Multi-objective Optimal Power Flow using Particle Swarm Optimization. First International Conference on Industrial and Information Systems (ICIIS), 161-166.
[5] Benabida, R., Boudourb, M. and Abidoc, M.A. (2009). Optimal location and setting of SVC and TCSC devices using non-dominated sorting particle swarm optimization. Electric Power Systems Research, 79, 1668–1677.
[6] Roy, R. and Jadhav, H.T. (2015). Optimal power flow solution of power system incorporating stochastic wind power using Gbest guided artificial bee colony algorithm. Electrical Power and Energy Systems, 64, 562–578.
[7] Sirjani, R., Mohamed, A. and Shareef, H. (2012). Optimal allocation of shunt Var compensators in power systems using a novel global harmony search algorithm. Electrical Power and Energy Systems, 43, 562–572.
[8] Sirjani, R., Mohamed, A. and Shareef, H. (2013). Optimal Placement of Var Compensators in Transmission Networks Using Heuristic Optimization Techniques. LAMBERT Academic Publishing, 7-22.
[9] Laifa, A. and Medoued, A. (2013). Optimal FACTS Location to Enhance Voltage Stability Using Multi-Objective Harmony Search. 2013 3rd International Conference on Electric Power and Energy Conversion Systems, 1-6.
[10] Arcanjo, D. N. et al. (2012). Cuckoo Search Optimization Technique Applied to Capacitor Placement on Distribution System Problem. images,” IEEE Trans. Image Process., vol. 10, no. 5, pp. 767-782, May 2001.
[11] Kumar, A. and Chakarverty, S. (2011). Design optimization using Genetic Algorithm and Cuckoo Search. IEEE International Conference on Electro/Information Technology, 1-5.
[12] El-Fergany, A. A. and Abdelaziz, A. Y. (2014). Capacitor Allocations in Radial Distribution Networks Using Cuckoo Search Algorithm. IET Gener. Transm. Distrib., 8(2), 223–232.
[13] Lenin, K., Reddy, B. R. and Kalavathi, M. S. (2014). Improved Cuckoo Search Algorithm for Solving Optimal Reactive Power Dispatch Problem. International Journal of Research in Electronics and Communication Technology (IJRECT 2014), 1(1), 20-24.
[14] Xing-shi, H., Li, N. and Xin-She, Y. (2014). Non-dominated Sorting Cuckoo Search for Multi-Objective Optimization. IEEE publication.
[15] Xin-She, Y. and Deb, S. (2009). Cuckoo search via Levy flights. Proc. Of World Congress on Nature & Biologically Inspired Computing, India. IEEE Publications, 210-214.
[16] Xin-She, Y. and Deb, S. (2010). Engineering Optimization by Cuckoo Search. Int. J. Mathematical Modelling and Numerical Optimization, 1(4), 330–343.
[17] Zhang, Z. and Chen, Y. J. (2014). An Improved Cuckoo Search Algorithm with Adaptive Method. 2014 Seventh International Joint Conference on Computational Sciences and Optimization, 204-207.
[1] Mohammadi, M., Gitizadeh, M. and Roosta, A. (2012). Dynamic Stability Improvement of a Power System Incorporating DFIG Wind Power Plant Using Optimized Control Parameters of a SVC. IEEE International Power Engineering and Optimization Conference (PEOCO), 416-421.
[2] Dhal, P. K. and Rajan, C. C. A. (2012). Transient Stability Improvement Using Neuro Fuzzy Controller Design for STATCOM. IEEE International Conference on Advance in Engineering and Management (ICAESM), 2(2), 37-45.
[3] Sunil, T. P. and Loganathan, N. (2012). Power Quality Improvement of a Grid Connected Wind Energy Conversion System with Harmonics Reduction Using FACTS Devices. IEEE International Conference on Advances in Engineering Management (ICAESM), 415.
[4] Duttal, P. and Sinha, A. K. (2006). Voltage Stability Constrained Multi-objective Optimal Power Flow using Particle Swarm Optimization. First International Conference on Industrial and Information Systems (ICIIS), 161-166.
[5] Benabida, R., Boudourb, M. and Abidoc, M.A. (2009). Optimal location and setting of SVC and TCSC devices using non-dominated sorting particle swarm optimization. Electric Power Systems Research, 79, 1668–1677.
[6] Roy, R. and Jadhav, H.T. (2015). Optimal power flow solution of power system incorporating stochastic wind power using Gbest guided artificial bee colony algorithm. Electrical Power and Energy Systems, 64, 562–578.
[7] Sirjani, R., Mohamed, A. and Shareef, H. (2012). Optimal allocation of shunt Var compensators in power systems using a novel global harmony search algorithm. Electrical Power and Energy Systems, 43, 562–572.
[8] Sirjani, R., Mohamed, A. and Shareef, H. (2013). Optimal Placement of Var Compensators in Transmission Networks Using Heuristic Optimization Techniques. LAMBERT Academic Publishing, 7-22.
[9] Laifa, A. and Medoued, A. (2013). Optimal FACTS Location to Enhance Voltage Stability Using Multi-Objective Harmony Search. 2013 3rd International Conference on Electric Power and Energy Conversion Systems, 1-6.
[10] Arcanjo, D. N. et al. (2012). Cuckoo Search Optimization Technique Applied to Capacitor Placement on Distribution System Problem. images,” IEEE Trans. Image Process., vol. 10, no. 5, pp. 767-782, May 2001.
[11] Kumar, A. and Chakarverty, S. (2011). Design optimization using Genetic Algorithm and Cuckoo Search. IEEE International Conference on Electro/Information Technology, 1-5.
[12] El-Fergany, A. A. and Abdelaziz, A. Y. (2014). Capacitor Allocations in Radial Distribution Networks Using Cuckoo Search Algorithm. IET Gener. Transm. Distrib., 8(2), 223–232.
[13] Lenin, K., Reddy, B. R. and Kalavathi, M. S. (2014). Improved Cuckoo Search Algorithm for Solving Optimal Reactive Power Dispatch Problem. International Journal of Research in Electronics and Communication Technology (IJRECT 2014), 1(1), 20-24.
[14] Xing-shi, H., Li, N. and Xin-She, Y. (2014). Non-dominated Sorting Cuckoo Search for Multi-Objective Optimization. IEEE publication.
[15] Xin-She, Y. and Deb, S. (2009). Cuckoo search via Levy flights. Proc. Of World Congress on Nature & Biologically Inspired Computing, India. IEEE Publications, 210-214.
[16] Xin-She, Y. and Deb, S. (2010). Engineering Optimization by Cuckoo Search. Int. J. Mathematical Modelling and Numerical Optimization, 1(4), 330–343.
[17] Zhang, Z. and Chen, Y. J. (2014). An Improved Cuckoo Search Algorithm with Adaptive Method. 2014 Seventh International Joint Conference on Computational Sciences and Optimization, 204-207.
@article{"International Journal of Electrical, Electronic and Communication Sciences:72820", author = "Reza Sirjani and Nobosse Tafem Bolan", title = "An Improved Cuckoo Search Algorithm for Voltage Stability Enhancement in Power Transmission Networks", abstract = "Many optimization techniques available in the literature have been developed in order to solve the problem of voltage stability enhancement in power systems. However, there are a number of drawbacks in the use of previous techniques aimed at determining the optimal location and size of reactive compensators in a network. In this paper, an Improved Cuckoo Search algorithm is applied as an appropriate optimization algorithm to determine the optimum location and size of a Static Var Compensator (SVC) in a transmission network. The main objectives are voltage stability improvement and total cost minimization. The results of the presented technique are then compared with other available optimization techniques.
", keywords = "Cuckoo search algorithm, optimization, power system, var compensators, voltage stability. ", volume = "10", number = "5", pages = "603-5", }
