SELF-ADAPTIVE FIREFLY ALGORITHM BASED UPFC PLACEMENT WITH MULTI OBJECTIVES
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Jun 12, 2020
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Abstract
The aim of this work is to improve power system performance through Unified Power Flow Controller (UPFC) placement by the application of Self-Adaptive Firefly Algorithm (SAFA). The SAFA selects the best positions and parameters for UPFC placement. Three single objectives of Real Power Loss (Ploss) minimization, Voltage Profile (VP) improvement, Voltage Stability (VS) enhancement and one multi objective of Ploss, minimization, simultaneously improve the VP besides enhancing the VS are considered. IEEE 30 bus system is selected to perform the simulation in order to validate the SAFA approach and simulation solutions are conferred.
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References
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[13] Jayanti Sarker and S.K. Goswami, Solution of multiple UPFC placement problems using Gravitational Search Algorithm, Electrical Power and Energy Systems Vol.55, pp.531–541, 2014
[14] M. Packiasudha, S. Suja and Jovitha Jerome, A new cumulative gravitational search algorithm for optimal placement of FACT device to minimize system loss in the deregulated electrical power environment, International Journal of Electrical Power Energy and System, Vol.84, pp.34–46, 2017
[15] Sidneo do Nascimento and Maury M, Gouvea, Jr, Voltage stability enhancement in power systems with automatic facts devices allocation, Energy Procedia, Vol.107: pp.60-67. 2017
[16] X.S. Yang, Nature-inspired meta-heuristic algorithms, 2 nd ed., Luniver Press, Beckington, 2010.
[17] X.S. Yang, S.S. Hosseini, and A.H. Gandomi, Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect, Applied Soft Computing, Vol.12, No. 3, pp.180–186, 2012
[18] K. Chandrasekaran and P. Sishaj Simon, Network and reliability constrained unit commitment problem using binary real coded firefly algorithm, International Journal of Electrical Power and Energy System, Vol.43, No. 1, pp. 921–932, 2012
[19] R. Selvarasu, M. Surya Kalavathi and C. Christober Asir Rajan, SVC placement for voltage constrained loss minimization using self-adaptive Firefly algorithm, Achieves of Electrical. Engineering, Vol.62, No. 4, pp.649–661, 2013
[20] R. Selvarasu, and M. Surya Kalavathi, TCSC Placement for loss minimization using self-adaptive firefly algorithm, Journal of Engineering Science and Technology. Vol.10, No. 3, pp.291–306, 2015
[21] Selvarasu Ranganathan., M Surya Kalavathi. and C. Christober Asir Rajan, Self-adaptive firefly algorithm based multi-objectives for multi-type FACTS placement, IET Generation, Transmission and Distribution, Vol.10, No. 11, pp.2576-2584, 2016
[22] H. Saadat, Power system analysis, 2 nd ed., McGraw-Hill, New Delhi, 2004
[2] N.G. Hingorani, and L. Gyugyi, Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems, Wiley, IEEE Press, 1999
[3] R.M. Mathur and R.K. Varma, Thyristor-based FACTS Controllers for Electrical Transmission Systems, IEEE Press, Piscataway, 2002.
[4] R.Mohamid Idris, A. Khairuddin and M. W. Mustafa, Optimal allocation of FACTS devices for ATC enhancement using Bees algorithm, World Academy of science Engineering and Technology, Vol.30: pp.313-320, 2009
[5] I. Ghamgeen Rashed, Yuanzhang Sun and H.I. Shaheen, Optimal location and parameter setting of TCSC for loss minimization based on differential evolution and genetic algorithm, Physics Procedia, Vol.33, pp.1864-1878, 2012.
[6] Mohammad Mahdi Hosseini-Biyouki, Sajad Jashfar, Behrooz Vahidi, and Hossein Askarian-Abyaneh, Impact of Optimal Unified Power Flow Controller in Electrical Transmission Systems in reducing Transmission Cost, Electric Power Components and Systems, Vol.45, No.16, pp.1762–1772, 2017
[7] Chun-Feng Lu, Chia-Hung Hsu. and Chia-Feng Juang, Coordinated control of flexible AC transmission system devices using an evolutionary Fuzzy lead-lag controller with advanced continuous Ant colony optimization, IEEE Transactions on Power System, Vol.28, No. 1, pp.385-392, 2012
[8] B. Bhattacharyya and Vikash Kumar Gupta, Application of DE & PSO algorithm for the placement of FACTs devices for economic operation of a power system, WSEAS Transactions on Power system, Vol.7, No. 4, pp.209-2016, 2012
[9] A. Rezaee Jordehi, Particle swarm optimization for allocation of FACTS devices in electric transmission systems: A review, Renewable and Sustainable Energy Reviews, Vol.52, No. C, pp.1260-1267, 2015
[10] K.M. Passino, Biomimicry of bacterial foraging for distributed optimization and control, IEEE Control Systems Magazine, Vol.22, No. 3, pp.52–67, 2002
[11] M. Senthil Kumar and P. Renuga, Application of UPFC for voltage stability improvement and loss minimization using Fast Voltage Stability Index (FVSI), Archives of Electrical Engineering, Vol.61, No. (2): pp.239-250,2012
[12] K. Kavitha and R. Neela, Comparison of BBO, WIPSO & PSO techniques for the optimal placement of FACTS devices to enhance system security, Procedia Technologies, Vol.25, pp.824-837, 2016.
[13] Jayanti Sarker and S.K. Goswami, Solution of multiple UPFC placement problems using Gravitational Search Algorithm, Electrical Power and Energy Systems Vol.55, pp.531–541, 2014
[14] M. Packiasudha, S. Suja and Jovitha Jerome, A new cumulative gravitational search algorithm for optimal placement of FACT device to minimize system loss in the deregulated electrical power environment, International Journal of Electrical Power Energy and System, Vol.84, pp.34–46, 2017
[15] Sidneo do Nascimento and Maury M, Gouvea, Jr, Voltage stability enhancement in power systems with automatic facts devices allocation, Energy Procedia, Vol.107: pp.60-67. 2017
[16] X.S. Yang, Nature-inspired meta-heuristic algorithms, 2 nd ed., Luniver Press, Beckington, 2010.
[17] X.S. Yang, S.S. Hosseini, and A.H. Gandomi, Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect, Applied Soft Computing, Vol.12, No. 3, pp.180–186, 2012
[18] K. Chandrasekaran and P. Sishaj Simon, Network and reliability constrained unit commitment problem using binary real coded firefly algorithm, International Journal of Electrical Power and Energy System, Vol.43, No. 1, pp. 921–932, 2012
[19] R. Selvarasu, M. Surya Kalavathi and C. Christober Asir Rajan, SVC placement for voltage constrained loss minimization using self-adaptive Firefly algorithm, Achieves of Electrical. Engineering, Vol.62, No. 4, pp.649–661, 2013
[20] R. Selvarasu, and M. Surya Kalavathi, TCSC Placement for loss minimization using self-adaptive firefly algorithm, Journal of Engineering Science and Technology. Vol.10, No. 3, pp.291–306, 2015
[21] Selvarasu Ranganathan., M Surya Kalavathi. and C. Christober Asir Rajan, Self-adaptive firefly algorithm based multi-objectives for multi-type FACTS placement, IET Generation, Transmission and Distribution, Vol.10, No. 11, pp.2576-2584, 2016
[22] H. Saadat, Power system analysis, 2 nd ed., McGraw-Hill, New Delhi, 2004