Modified EP/sin for Optimal Power Flow with Economic Dispatch
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Published:
Sep 5, 2019
Keywords:
Evolutionary programming Optimal power flow Economic dispatch Optimization
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Abstract
In this paper, evolutionary programming is modified for improve optimal power flow and economic dispatch problem. First improvement is to enhance power transfer capability of power transactions between generators and load buses. Second improvement is to determine ratio of max power transfer capability per economic dispatch. Both improvements are evaluated under optimal power flow concepts and optimal allocation of unified power flow controller. Particular optimal allocation of unified power flow controller includes optimal location and parameter settings. This optimal allocation is determined by this modified evolutionary programming. The main of modifying is to place value of sine function in mutation method. The IEEE 30-bus test system is used as tests system. Test results show that the proposed method gives the optimal allocation of unified power flow controller which makes the better overall results of optimal power flow with economic dispatch than original evolutionary programming.
Article Details
How to Cite
[1]
S. Chansareewittaya, “Modified EP/sin for Optimal Power Flow with Economic Dispatch”, sej, vol. 14, no. 1, pp. 56–66, Sep. 2019.
Section
Research Articles
Copyright belongs to Srinakharinwirot University Engineering Journal
References
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[26] S. Chansareewittaya and P. Jirapong, “Power transfer capability enhancement with multitype FACTS controller using particle swarm optimization”, Proc. IEEE TENCON2010, Fukuoka, Japan, 2010.
[27] S. Chansareewittaya and P. Jirapong “Total transfer capability enhancement with optimal number of UPFC using hybrid TSSA”, Proc. IEEE ECTI-CON2012, Phetchaburi, Thailand, 2012.
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[29] Y. R. Sood, “Evolutionary programming based optimal power flow and its validation for deregulated power system analysis,” International Journal of Electrical Power& Energy Systems, vol.29, no.1, pp.65-67, 2007.
[30] S. Chansareewittaya, “Hybrid BA/TS for Economic Dispatch Considering the Generator Constraint,” Proc. International Conference on Digital Arts, Media and Technology (ICDAMT), 2017.
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[32] H. Ren, D. Watts, Z. Mi, and J. Lu, “A review of FACTS' practical Consideration and Economic Evaluation,” Proc. Power and Energy Engineering Conference, 2009.
[33] K. Nelson, “Evolutionary Programming IV,” Proc. Fourth Annual Conference on Evolutionary Programming, vol. 3(2), pp. 143-145, 1997.
[34] L. J. Fogel, A. J. Owens, and M. J. Walsh, Artificial Intelligence Thorough Simulated Evolution. John Wiley & Sons, Ltd, Chichester: U.K., 1966.
[35] K. Y. Lee and A. E. Mohamed. Modern Heuristics Optimization Techniques. New York: John Wiley & Sons, 2008.
[36] P. Andries, Computational. Intelligence: An Introduction, Second Edition. New York, USA: John Wiley & Sons, 2007.
[37] X. Yao, Y. Liu and G. Lin, “Evolutionary programming made faster,” IEEE Trans. on Evolutionary Computation, vol. 3(2), pp.82-102, July 1999.
[38] T. Back, U. Hammel, and H.P. Schwefel, “Evolutionary computation: comments on the history and current state,” IEEE Trans. on Evolutionary Computation, pp. 3-17, April 1997.
[39] E. G. Talbu, Metaheuristics from design to implementation. New Jersey, USA John Wiley & Sons Inc., 2009.
[40] J. Yuryevich and K. P. Wong, “Evolutionary Programming Based Optimal Power Flow Algorithm,” IEEE Trans. on Power Systems, vol. 14(4), November 1999.
[41] C. H. Lo et al., “Parallel evolutionary programming for optimal power flow,”Proc. IEEE International conference on Electric Utility DRPT, vol.1, pp.190-195, April 2004.
[42] A. H. Mantawy, M.S. Al-Ghamdi, “A New Reactive Power Optimization Algorithm,”Proc. Power Tech Conference2003, 2003.
[43] L. L. Lai. Intelligent System Applications in Power Engineering: Evolutionary Programming and Neural Networks. John Wiley & Sons, Ltd, Chichester: U.K., 1998.
[44] V. Miranda, D. Srinivasan, and L. M. Proenca, “Evolutionary computation in power systems,” International Journal of Electrical Power&Energy Systems, pp.89-98, Feb. 1998.
[45] Z. Ma,”Function optimization research based on Evolutionary Programming,” Proc. IET International Conference on Information Science and Control Engineering2012, 2012.
[46] B. Vermeulen, B. T. Chie, S. H. Chen, and A. Pyka, “Evolutionary programming of product design policies. An agent-based model study,” Proc. 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems, 2017.
[47] Reliability Test System Task Force, “The IEEE reliability test system 1996,” IEEE Trans. on Power Systems, vol. 14(3), pp. 1010–1020, Aug. 1999.
[2] N. G. Hingorani and L.Gyugyi, Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems, New York: John Wiley & Sons, 1999.
[3] FACTS Terms & Definitions Task Force of the FACTS Working Group of the DC and FACTS Submittee, “Proposed Terms and Definitions for Flexible AC Transmission System (FACTS),” IEEE Trans. on Power Delivery, vol. (4), 1997.
[4] Y. H. Song and Y. H. Johns, “Flexible AC Transmission System (FACTS),” IEE Power and Energy Series 30, 1999.
[5] M. A. Abdel-Moamen and N. P Padhy, “Optimal power flow incorporating FACTS devices-bibliography and survey,” Proc.IEEE PES Transmission and Distribution Conference and Exposition, 2003.
[6] S. Chansareewittaya, “Optimal Power Flow for Enhanced TTC with Optimal Number of SVC by using Improved Hybrid TSSA,” ECTI Trans. on Computer and Information Technology (ECTI-CIT), vol. 13, no. 1, pp. 9-20, 2019.
[7] S. Chansareewittaya, “Optimal Allocation of Multi-type FACTS Controllers for Optimal Power Flow using Hybrid PSO/SA,” J. of Thai Interdisciplinary Research (JTIR), vol. 12, no. 6, pp. 15-21, 2017.
[8] S. Chansareewittaya and P. Jirapong “Power transfer capability enhancement with optimal maximum number of facts controllers using evolutionary programming”, Proc. IEEE IECON2011, Melbourne, Australia, 2011.
[9] C. H. Liang, C. Y. Chung, K. P. Wong, and X. Z. Duan, “Comparison and improvement of evolutionary programming techniques for power system optimal reactive power flow”, IEE Generation, Transmission and Distribution, vol. 153(2), 2006.
[10] N. A. B. Salim and J. Maika, “Optimal allocation of FACTS device to improve voltage profile and power loss using evolutionary programming technique,” Proc. IEEE Region10 Conference, 2016.
[11] T. S. Chung and G. Shaoyun, “Optimal power flow incorporating FACTS devices and power flow control constraints,” Proc. International Conference Power System Technology, 1998.
[12] Y. Xiao, Y. H. Song and Y. Z. Sun, “Power flow control approach to power systems with embedded FACTS devices,” IEEE Power Engineering Review, vol. 22(7), pp.53 - 54, 2002.
[13] J. A. Domínguez-Navarro, J. L. Bernal-Agustín, A. Díaz, D. RequenacEmilio, and P. Vargas, “Optimal parameters of FACTS devices in electric power systems applying evolutionary strategies,” International J. of Electrical Power & Energy Systems, vol. 29(1), pp. 83-90, Jan. 2007.
[14] S. Chansareewittaya and P. Jirapong, “Power transfer capability enhancement with multitype FACTS controllers using hybrid particle swarm optimization,” Electrical Engineering, vol. 97(2), pp. 119-127, 2015.
[15] S. Chansareewittaya, “Hybrid MODE/TS for Environmental Dispatch and Economic Dispatch,” ECTI Trans. on Electrical Engineering, Electronics, and Communications (ECTI-EEC), vol. 17, no. 1, pp. 78-86, 2019.
[16] S. Chansareewittaya, “Hybrid Differential Evolutionary/Tabu Search for Economic Dispatch and Environmental Dispatch,” Proc. ECTI-CON2018, Chiang Rai, Thailand, 2018.
[17] G. C. Ejebe, J. G. Waight, S. N. Manuel, and W. F. Tinney, “Fast calculation of linear available transfer capability, IEEE Trans. on Power Systems, vol. 15(3), 2000.
[18] R. Jomthong, P. Jirapong, and S. Chansareewittaya, “Optimal choice and allocation of distributed generations using Evolutionary Programming”, Proc. CIGRE-AORC 2011, Chiang Mai, Thailand, 2011.
[19] H. W. Dommel and W. F. Tinney, “Optimal Power Flow Solutions,” IEEE Trans. on power apparatus and systems, vol. PAS-87, no. 10, pp. 1866-1876, Oct. 1968.
[20] O. Alsac and B. Stott, “Optimal power flow with steady-state security,” IEEE Trans. on Power Apparatus and Systems, vol. PAS-93, issue 3, May 1974.
[21] C. A. Canizares, “Power flow and transient stability models of FACTS controllers for voltage and angle stability studies”, Proc. IEEE/PES WM on Modeling, Simulation and Applications of FACTS Controllers in Angle and Voltage Stability Studies, Singapore, 2000.
[22] M. R. AlRashidi and M. E. El-Hawary, “Applications of computational intelligence techniques for solving the revived optimal power flow problem,” Electric Power Systems Research, vol. 79(4), pp. 694-702, Apr. 2009.
[23] G. C. Ejebe, “Available transfer capability calculations,” IEEE Trans. on Power Systems, vol. 13(4), Nov. 1998.
[24] M. H. Gravener and C. Nwankpa, “Available transfer capability and first order sensitivity,” IEEE Trans. on Power Systems, vol. 14, May 1999.
[25] Y. Ou and C. Singh, “Assessment of available transfer capability and margins,” IEEE Trans. on Power Systems, vol. 17, May 2002.
[26] S. Chansareewittaya and P. Jirapong, “Power transfer capability enhancement with multitype FACTS controller using particle swarm optimization”, Proc. IEEE TENCON2010, Fukuoka, Japan, 2010.
[27] S. Chansareewittaya and P. Jirapong “Total transfer capability enhancement with optimal number of UPFC using hybrid TSSA”, Proc. IEEE ECTI-CON2012, Phetchaburi, Thailand, 2012.
[28] A. J. Wood, and B.F. Wollenberg. Power generation, operation, and control. New York, USA: John Wiley & Sons Inc., 1996.
[29] Y. R. Sood, “Evolutionary programming based optimal power flow and its validation for deregulated power system analysis,” International Journal of Electrical Power& Energy Systems, vol.29, no.1, pp.65-67, 2007.
[30] S. Chansareewittaya, “Hybrid BA/TS for Economic Dispatch Considering the Generator Constraint,” Proc. International Conference on Digital Arts, Media and Technology (ICDAMT), 2017.
[31] F. Kreith and D. Y. Goswami, “Economics Methods,” Handbook of energy efficiency and renewable energy, 1 ed., CRC Press, May 2007, pp.3-1 to 3-24.
[32] H. Ren, D. Watts, Z. Mi, and J. Lu, “A review of FACTS' practical Consideration and Economic Evaluation,” Proc. Power and Energy Engineering Conference, 2009.
[33] K. Nelson, “Evolutionary Programming IV,” Proc. Fourth Annual Conference on Evolutionary Programming, vol. 3(2), pp. 143-145, 1997.
[34] L. J. Fogel, A. J. Owens, and M. J. Walsh, Artificial Intelligence Thorough Simulated Evolution. John Wiley & Sons, Ltd, Chichester: U.K., 1966.
[35] K. Y. Lee and A. E. Mohamed. Modern Heuristics Optimization Techniques. New York: John Wiley & Sons, 2008.
[36] P. Andries, Computational. Intelligence: An Introduction, Second Edition. New York, USA: John Wiley & Sons, 2007.
[37] X. Yao, Y. Liu and G. Lin, “Evolutionary programming made faster,” IEEE Trans. on Evolutionary Computation, vol. 3(2), pp.82-102, July 1999.
[38] T. Back, U. Hammel, and H.P. Schwefel, “Evolutionary computation: comments on the history and current state,” IEEE Trans. on Evolutionary Computation, pp. 3-17, April 1997.
[39] E. G. Talbu, Metaheuristics from design to implementation. New Jersey, USA John Wiley & Sons Inc., 2009.
[40] J. Yuryevich and K. P. Wong, “Evolutionary Programming Based Optimal Power Flow Algorithm,” IEEE Trans. on Power Systems, vol. 14(4), November 1999.
[41] C. H. Lo et al., “Parallel evolutionary programming for optimal power flow,”Proc. IEEE International conference on Electric Utility DRPT, vol.1, pp.190-195, April 2004.
[42] A. H. Mantawy, M.S. Al-Ghamdi, “A New Reactive Power Optimization Algorithm,”Proc. Power Tech Conference2003, 2003.
[43] L. L. Lai. Intelligent System Applications in Power Engineering: Evolutionary Programming and Neural Networks. John Wiley & Sons, Ltd, Chichester: U.K., 1998.
[44] V. Miranda, D. Srinivasan, and L. M. Proenca, “Evolutionary computation in power systems,” International Journal of Electrical Power&Energy Systems, pp.89-98, Feb. 1998.
[45] Z. Ma,”Function optimization research based on Evolutionary Programming,” Proc. IET International Conference on Information Science and Control Engineering2012, 2012.
[46] B. Vermeulen, B. T. Chie, S. H. Chen, and A. Pyka, “Evolutionary programming of product design policies. An agent-based model study,” Proc. 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems, 2017.
[47] Reliability Test System Task Force, “The IEEE reliability test system 1996,” IEEE Trans. on Power Systems, vol. 14(3), pp. 1010–1020, Aug. 1999.