Dynamic Economic Dispatch Using Glowworm Swarm Optimization Technique
This paper gives an intuition regarding glowworm swarm optimization (GSO) technique to solve dynamic economic dispatch (DED) problems of thermal generating units. The objective of the problem is to schedule optimal power generation of dedicated thermal units over a specific time band. In this study, Glowworm swarm optimization technique enables a swarm of agents to split into subgroup, exhibit simultaneous taxis towards each other and rendezvous at multiple optima (not necessarily equal) of a given multimodal function. The feasibility of the GSO method has been tested on ten-unit-test systems where the power balance constraints, operating limits, valve point effects, and ramp rate limits are taken into account. The results obtained by the proposed technique are compared with other heuristic techniques. The results show that GSO technique is capable of producing better results.
[1] C.B Somuah, and N. Khunaizi, “Application of linear programming re-dispatch technique to dynamic generation allocation,” IEEE Transaction on power system, vol.5, pp.22-26, 1990.
[2] S. Takriti, and B. Krasenbrink, “A decomposition approach for the fuel constrained economic power-dispatch problem,” European journal of operational research, vol. 112, issue 2, pp.460-466, 199.
[3] L. Papageorgiou, and E. Fraga,“A mixed integer quadratic programming formulation for the economic dispatch of generators with prohibited operating zones,” Electric Power System Research, vol. 77, issue 10, pp.1292-1296, 2007.
[4] S. Hemamalini, and Sishaj P. Siman, “Dynamic economic dispatch with valve point effect using Maclaurin Series based Lagrangian method,” International journal of computer application, vol.1, pp.60-67, 2010.
[5] K. Hindi, and M. Ghani, “Dynamic economic dispatch for large-scale power systems a Lagrangian relaxation approach,” Electric Power system research, vol.13, issue1, pp.51-56, 1991.
[6] D.Travers, and R Kaye, “Dynamic dispatch by constructive dynamic programming,” IEEE Transactions on Power System.,vol.3, issue 1, pp.72-78, 1998.
[7] A.J. Wood, and B.F. Wollenberg, “Power Generation, Operation and Control,” New York: Wiley, 1984.
[8] Jia-.Chu. Lee, Whei. Min Lin, and Gwo-Ching Liao, “Quantum G.A for dynamic economic dispatch with valve point effects including wind power,” International journal of electrical power and energy system, vol.33, pp.189-197, 2011.
[9] S.H. Hosseini, and M. Kheradmandi, “Dynamic economic dispatch in reconstructed power system consideration transmission costs using G.A,” Electrical and Computer engineering, International Canadian Conference, vol.3, pp.1625-1628, 2004.
[10] C.K. Panigrahi, P.K. Chattopadhyay, R.N. Chakrabarti, and M. Basu, “Simulated annealing technique for dynamic economic dispatch,” Electric Power Components and Systems, vol.34, pp.577-586, 2006.
[11] N.Sinha, R.Chakrabarti, and P.K. Chattopadhyay, “Evolutionary programming techniques for economic load dispatch,” IEEE Trans. Evol. Computting, vol.7, pp.83-94, 2003.
[12] T. Victoire, and A. Jeyakumar,“A modified hybrid EP-SQP for dynamic economic dispatch with valve-point effect,” International journal of Electrical Power and Energy Systems., vol. 27, issue 8, pp. 594-601, 2005.
[13] T. Victoire, and A. Jeyakumar, “Hybrid EP-SQP for dynamic economic dispatch with valve-point effect,” Electric Power System Research, vol.71, issue 1, pp. 51-59, 2004.
[14] P. Attaviriyanupap, H. Kita, E. Tanaka, and J. Hasegawa, “A hybrid EP and SQP for dynamic economic dispatch with non smooth fuel cost function,” IEEE Trans. Power Syst., vol.17, issue 2, pp.411-416, 2002.
[15] T.A.A. Victoria, and A.E. Jeyakumar, “Deterministically guided PSO for dynamic dispatch considering valve-point effect,” Electric Power Syst. Res., vol. 73, issue 3, pp. 313-322, 2005.
[16] C.K. Panigrahi, P.K. Chattopadhyay, and R. Chakrabarbarti,“Particle Swarm Optimization Technique for Dynamic Economic Dispatch” Journal of Institution of Engineers (I), vol.87, pp.48-54, sept.2006.
[17] Su A Yuan and Y Yuan. et al., “An improved PSO for dynamic load dispatch of generators with valve-point effects, “International journal of Applied Energy” vol. 34, issue 1, pp. 67-74, 2009.
[18] X Yuan, L Wang, and Y Yuan. et al, “A modified differential evolution approach for dynamic economic dispatch with valve-point effects,” International journal of Energy Conversion and Management., vol. 49, issue 12, pp. 3447-3453, 2008.
[19] X Yuan, L Wang, and Y Yuan. et al, “A hybrid differential evolution method for dynamic economic dispatch with valve-point effects,” International journal of Expert system with Applications., vol. 36, issue 2, pp. 4042-4048, 2009.
[20] R.K. Swain, A.K. Barisal, P.K Hota, and R. Chakrabarti, “Short Term Hydrothermal Scheduling Using Clonal Selection Algorithm,” International Journal of Electrical Power and Energy System., vol. 33, issue 3, pp. 647-657, March. 2011.
[21] T. Niknam, and F. Golestaneh, “Enhanced adaptive particle swarm optimization algorithm for dynamic economic dispatch of units considering valve-point effects and ramp rates, “International journal of IET Gener. Transm.Distrib.,2 012, vol6, issue5, pp424-435.
[22] K.N. Krishnanand, and D. Ghose, “Glowworm swarm optimization: a new model for optimizing multimodal functions,” International journal of Computational Intelligence Studies, vol.1(1), 93-119, 2009.
[1] C.B Somuah, and N. Khunaizi, “Application of linear programming re-dispatch technique to dynamic generation allocation,” IEEE Transaction on power system, vol.5, pp.22-26, 1990.
[2] S. Takriti, and B. Krasenbrink, “A decomposition approach for the fuel constrained economic power-dispatch problem,” European journal of operational research, vol. 112, issue 2, pp.460-466, 199.
[3] L. Papageorgiou, and E. Fraga,“A mixed integer quadratic programming formulation for the economic dispatch of generators with prohibited operating zones,” Electric Power System Research, vol. 77, issue 10, pp.1292-1296, 2007.
[4] S. Hemamalini, and Sishaj P. Siman, “Dynamic economic dispatch with valve point effect using Maclaurin Series based Lagrangian method,” International journal of computer application, vol.1, pp.60-67, 2010.
[5] K. Hindi, and M. Ghani, “Dynamic economic dispatch for large-scale power systems a Lagrangian relaxation approach,” Electric Power system research, vol.13, issue1, pp.51-56, 1991.
[6] D.Travers, and R Kaye, “Dynamic dispatch by constructive dynamic programming,” IEEE Transactions on Power System.,vol.3, issue 1, pp.72-78, 1998.
[7] A.J. Wood, and B.F. Wollenberg, “Power Generation, Operation and Control,” New York: Wiley, 1984.
[8] Jia-.Chu. Lee, Whei. Min Lin, and Gwo-Ching Liao, “Quantum G.A for dynamic economic dispatch with valve point effects including wind power,” International journal of electrical power and energy system, vol.33, pp.189-197, 2011.
[9] S.H. Hosseini, and M. Kheradmandi, “Dynamic economic dispatch in reconstructed power system consideration transmission costs using G.A,” Electrical and Computer engineering, International Canadian Conference, vol.3, pp.1625-1628, 2004.
[10] C.K. Panigrahi, P.K. Chattopadhyay, R.N. Chakrabarti, and M. Basu, “Simulated annealing technique for dynamic economic dispatch,” Electric Power Components and Systems, vol.34, pp.577-586, 2006.
[11] N.Sinha, R.Chakrabarti, and P.K. Chattopadhyay, “Evolutionary programming techniques for economic load dispatch,” IEEE Trans. Evol. Computting, vol.7, pp.83-94, 2003.
[12] T. Victoire, and A. Jeyakumar,“A modified hybrid EP-SQP for dynamic economic dispatch with valve-point effect,” International journal of Electrical Power and Energy Systems., vol. 27, issue 8, pp. 594-601, 2005.
[13] T. Victoire, and A. Jeyakumar, “Hybrid EP-SQP for dynamic economic dispatch with valve-point effect,” Electric Power System Research, vol.71, issue 1, pp. 51-59, 2004.
[14] P. Attaviriyanupap, H. Kita, E. Tanaka, and J. Hasegawa, “A hybrid EP and SQP for dynamic economic dispatch with non smooth fuel cost function,” IEEE Trans. Power Syst., vol.17, issue 2, pp.411-416, 2002.
[15] T.A.A. Victoria, and A.E. Jeyakumar, “Deterministically guided PSO for dynamic dispatch considering valve-point effect,” Electric Power Syst. Res., vol. 73, issue 3, pp. 313-322, 2005.
[16] C.K. Panigrahi, P.K. Chattopadhyay, and R. Chakrabarbarti,“Particle Swarm Optimization Technique for Dynamic Economic Dispatch” Journal of Institution of Engineers (I), vol.87, pp.48-54, sept.2006.
[17] Su A Yuan and Y Yuan. et al., “An improved PSO for dynamic load dispatch of generators with valve-point effects, “International journal of Applied Energy” vol. 34, issue 1, pp. 67-74, 2009.
[18] X Yuan, L Wang, and Y Yuan. et al, “A modified differential evolution approach for dynamic economic dispatch with valve-point effects,” International journal of Energy Conversion and Management., vol. 49, issue 12, pp. 3447-3453, 2008.
[19] X Yuan, L Wang, and Y Yuan. et al, “A hybrid differential evolution method for dynamic economic dispatch with valve-point effects,” International journal of Expert system with Applications., vol. 36, issue 2, pp. 4042-4048, 2009.
[20] R.K. Swain, A.K. Barisal, P.K Hota, and R. Chakrabarti, “Short Term Hydrothermal Scheduling Using Clonal Selection Algorithm,” International Journal of Electrical Power and Energy System., vol. 33, issue 3, pp. 647-657, March. 2011.
[21] T. Niknam, and F. Golestaneh, “Enhanced adaptive particle swarm optimization algorithm for dynamic economic dispatch of units considering valve-point effects and ramp rates, “International journal of IET Gener. Transm.Distrib.,2 012, vol6, issue5, pp424-435.
[22] K.N. Krishnanand, and D. Ghose, “Glowworm swarm optimization: a new model for optimizing multimodal functions,” International journal of Computational Intelligence Studies, vol.1(1), 93-119, 2009.
@article{"International Journal of Electrical, Electronic and Communication Sciences:72729", author = "K. C. Meher and R. K. Swain and C. K. Chanda", title = "Dynamic Economic Dispatch Using Glowworm Swarm Optimization Technique", abstract = "This paper gives an intuition regarding glowworm swarm optimization (GSO) technique to solve dynamic economic dispatch (DED) problems of thermal generating units. The objective of the problem is to schedule optimal power generation of dedicated thermal units over a specific time band. In this study, Glowworm swarm optimization technique enables a swarm of agents to split into subgroup, exhibit simultaneous taxis towards each other and rendezvous at multiple optima (not necessarily equal) of a given multimodal function. The feasibility of the GSO method has been tested on ten-unit-test systems where the power balance constraints, operating limits, valve point effects, and ramp rate limits are taken into account. The results obtained by the proposed technique are compared with other heuristic techniques. The results show that GSO technique is capable of producing better results.
", keywords = "Dynamic economic dispatch, Glowworm swarm optimization, Luciferin, Valve–point loading effect, Ramp rate limits.", volume = "9", number = "9", pages = "1095-6", }
