Ahmad Abubakar SADIQ, Muhammad BUHARI, Sunusi Sani ADAMU

Available transfer capability enhancement with FACTS using hybrid PI-PSO

In deregulation, growth in electrical loads necessitates improving power delivery, while nondiscriminatoryaccess to transmission grid is a requirement. Deregulation causes a significant rise in transactions, which requires adequatetransfer capability to secure economic transactions. In sustainable power delivery, FACTS devices are deployed to enhanceavailable transfer capability (ATC). However, the high investment cost of FACTS makes the problem formulation amultiobjective optimization: power transfer maximization and minimization of FACTS sizes. Furthermore, due to thecomplexity in optimizing the control variables of voltage source converter types of FACTS, often the solution results inlocal optima and high computational time. This paper proposes a hybrid of real power flow performance index sensitivity(∂P I ) and particle swarm optimization (PI-PSO) to solve the multiobjective optimization of ATC maximization withminimum FACTS sizes using continuation power flow. ∂P I identifies some high-potential locations with enhanced ATCat minimum FACTS size to constitute the PSO’s reduced search space. As ∂P I may exhibit masking effects, iterativen-exponent and Newton’s divided difference approaches are proposed to reduce masking. The proposed PI-PSO isimplemented with a thyristor control series compensator and static synchronous series compensator for both bilateraland multilateral transactions. Results show the effectiveness of the proposed PI-PSO over PSO regarding convergencecharacteristics, avoidance of local optima, and superior ATC values.

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[1] Kumar A, Kumar J. ATC with ZIP load model - A comprehensive evaluation with third generation FACTS in restructured electricity markets. International Journal of Electrical Power and Energy Systems 2014; 54 (1): 546– 558. doi: 10.1016/j.ijepes.2013.08.003
[2] Alekhaya B, Srinivasa Rao J. Enhancement of ATC in a deregulated power system by optimal location of multiFACTS devices. In: IEEE 2014 International Conference on Smart Electric Grid; Guntur, India; 2014. pp. 1–9. doi: 10.1109/ISEG.2014.7005599
[3] Anupriya S, Janamala V. Available transfer capability (ATC) enhancement and optimization of UPFC shunt converter location with GSF in deregulated power system. In: IEEE 2016 Intertional Conference on Circuit, Power Computing Technology; Nagercoil, India; 2016. pp. 1-5. doi: 10.1109/ICCPCT.2016.7530289
[4] Khandani F, Soleymani S, Mozafari B. Optimal allocation of SVC to enhance total transfer capability using hybrid genetics algorithm and sequential quadratic programming. In: IEEE 8th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON, Association of Thailand - Conference 2011); Khon Kaen, Thailand; 2011. pp. 861–864. doi: 10.1109/ECTICON.2011.5947976
[5] Sinha N, Karan S, Singh SK. Modified DE based ATC enhancement using FACTS devices. In: 1st IEEE International Conference on Computational Intelligence & Networks; Bhubaneshwar, India; 2015. pp. 3–8.
[6] Nireekshana T, Kesava GR, Sivanaga SR. Enhancement of ATC with FACTS devices using real-code genetic algorithm. International Journal of Electrical Power and Energy Systems 2012; 43 (1): 1276–1284. doi: 10.1016/j.ijepes.2012.06.041
[7] Choudhury NB, Jena R. Available transfer capability enhancement in constrained network conditions using TCSC. In: IEEE 2014 International Conference on Advances in Engineering & Technology Research; Unnao, India; 2014. pp. 1–7. doi: 10.1109/ICAETR.2014.7012804
[8] Balasubbareddy M, Sivanagaraju S, Venkata C. A non-dominated sorting hybrid cuckoo search algorithm for multiobjective optimization in the presence of FACTS devices. Russian Electrical Engineering 2017; 88 (1): 44–53. doi: 10.3103/S1068371217010059
[9] Esmaeili A, Esmaeili S. A new multiobjective optimal allocation of multitype FACTS devices for total transfer capability enhancement and improving line congestion using the harmony search algorithm. Turkish Journal Electrical Engineering & Computer Science 2013; 21 (4): 957–979. doi: 10.3906/elk-1108-66
[10] Glazunova AM, Aksaeva ES, Semshchikov ES. Forecasting of available transfer capability in inter-system transmission lines. In: 2016 IEEE International Energy Conference; Leuven, Belgium; 2016. pp. 1–6.
[11] Sadiq AA, Nwohu MN, Okenna AE. Available transfer capability as index for transmission network performance: a case study of nigerian 330 kV transmission grid. International Journal Electrical Engineering and Informatics 2014; 6 (3): 479–496.
[12] Nireekshana T, Kesava GR, Sivanaga SR. Available transfer capability enhancement with FACTS using cat swarm optimization. Ain Shams Engineering Journal 2016; 7 (1): 159–167. doi: 10.1016/j.asej.2015.11.011
[13] Sharma S, Vadhera S. Enhancement of power transfer capability of interconnected power system using unified power flow controller (UPFC). International Journal of Electronics and Electrical Engineering 2016; 4 (3): 5–10. doi:10.18178/ijeee.4.3.199-202
[14] Kamel S, Jurado F, Peças Lopes JA. Comparison of various UPFC models for power flow control. Electric Power Systems Research 2015; 121 (1): 243–251. doi: 10.1016/j.epsr.2014.11.001
[15] Venkateswara RM, Sivanagaraju S, Suresh CV. Available transfer capability evaluation and enhancement using various FACTS controllers: special focus on system security. Ain Shams Engineering Journal 2016; 7 (1): 191–207. doi: 10.1016/j.asej.2015.11.006
[16] Khafafi K, Sakhavati A, Nahi S. Optimal locating and sizing of SSSC using genetic algorithm in deregulated power market. International Journal of Computer Applications 2011; 22 (4): 37–41.
[17] Nimje AA, Panigrahi CK, Mohanty AK. Enhanced power transfer capability by using SSSC. Journal of Mechanical Engineering Research 2011; 3 (2): 48–56.
[18] Kumar A, Jitender K. ATC enhancement in electricity markets with GUPFC and IPFC - a comparison. Electrical Power and Energy Systems 2016; 81 (1): 469–482. doi: 10.1016/j.ijepes.2016.02.047
[19] Kumar KS, Basavaraja B, Sanker Ram, BV. Optimal placement of FACTS devices with available transfer capability enhancement. In: 2014 International Conference on Smart Electric Grid; Guntur, India; 2014. pp. 1–4. doi: 10.1109/ISEG.2014.7005597
[20] Bavithra K, Raja SC, Venkatesh P. Optimal setting of FACTS devices using particle swarm optimization for ATC enhancement in deregulated power system. IFAC-PapersOnLine 2016; 49 (1): 450-455. doi: 10.1016/j.ifacol.2016.03.095
[21] Farahmand H, Rashidinejad M, Mousavi A, Gharaveisi AA, Irving MR et al. Hybrid mutation particle swarm optimisation method for available transfer capability enhancement. International Journal of Electrical Power and Energy Systems 2012; 42 (1): 240–249. doi: 10.1016/j.ijepes.2012.04.020
[22] Ngatchou P, Zarei A, El-Sharkawi MA. Pareto multi-objective optimization. In: 13th International Conference on Intelligent Systems Application to Power Systems; Arlington, VA, USA; 2005. pp. 84–91. doi: 10.1109/ISAP.2005.1599245
[23] Manganuri Y, Choudekar P, Abhishek, Asija D, Ruchira. Optimal location of TCSC using sensitivity and stability indices for reduction in losses and improving the voltage profile. In: 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems; Delhi, India; 2016. pp. 1–4.
[24] Arulraj R, Kumarappan N. Optimal economic-driven planning of multiple DG and capacitor in distribution network considering different compensation coefficients in feeder’s failure rate evaluation. Engineering Science and Technology an International Journal 2019; 22 (1): 67-77. doi: 10.1016/j.jestch.2018.08.009
[25] Kavitha K, Neela R. Comparison of BBO, WIPSO & PSO techniques for the optimal placement of FACTS devices to enhance system security. Procedia Technology, 2016; 25: 824–837. doi: 10.1016/j.protcy.2016.08.186
[26] Dobson I, Greene S, Rajaraman R, DeMarco CL, Alvarado FL et al. Electric power transfer capability: concepts, applications, sensitivity and uncertainty. Ithaca, NY, USA: Cornell University, 2001.
[27] Bone G, Mihalič R. Modelling the SSSC device in the power flow problem as power injections regulated according to first order sensitivity. Engineering and Industry Series, Deregulated Electricity Market Issues in South Eastern Europe 2015; 2015: 80–85. doi: 10.22618/TP.EI.20151.192013
[28] Kamel S, Jurado F. Fast decoupled load flow analysis with SSSC power injection model. IEEJ Transactions on Electrical and Electronic Engineering 2014; 9 (4): 370–374. doi: 10.1002/tee.21981
[29] Varshini GYS, Kalpana N. Enhancement of available transfer capability using particle swarm optimization technique with interline power flow controller. In: Third International Conference on Sustainable Energy and Intelligent Systems; Tamil Nadu, India; 2012. pp. 331–334. doi: 10.1049/cp.2012.2234
[30] Kumar A, Kumar J. Comparison of UPFC and SEN transformer for ATC enhancement in restructured electricity markets. Electrical Power and Energy Systems 2012; 41 (1): 96–104. doi: 10.1016/j.ijepes.2012.03.019
[31] Prathiba R, Balasinghs M, Devaraj D, Karuppasamypandiyan M. Multiple output radial basis function neural network with reduced input features for on-line estimation of available transfer capability. Control Engineering and Applied Informatics 2016; 18 (1): 95–106.
[32] Idris RM, Kharuddin A, Mustafa MW. Optimal allocation of FACTS devices for atc enhancement using bees algorithm. In: Power Engineering Conference; Adelaide, Australia; 2009. pp. 318–325.
[33] Chansareewittaya S, Jirapong P. Power transfer capability enhancement with multi-type FACTS controllers using particle swarm optimization. In: IEEE 11th International Conference on Electrical Engineering/Electronics, Computer, Telecomms and IT; Nakhon Ratchasima, Thailand; 2014. pp. 1–6. doi: 10.1109/TENCON.2010.5685893
[34] Babulal CK, Kannan PS. A novel approach for ATC computation in deregulated environment. Journal of Electrical Systems 2006; 2 (3): 146–161.
[35] Khosravifard M, Shaaban M. Risk-based available transfer capability assessment including non-dispatchable wind generation. International Transactions on Electrical Energy Systems 2015; 25 (11): 3169–3183. doi: 10.1002/etep.2036
[36] Dou X, Zhang S, Chang L, Wu Z, Gu W et al. An improved CPF for static stability analysis of distribution systems with high DG penetration. Electrical Power and Energy Systems 2017; 86 (3): 177-188.
[37] Prathiba R, Moses MB, Karuppasamypandiyan M. Optimal selection and allocation of generator for static ATC using differential evolution algorithm. International Journal of Engineering and Technology 2014; 6 (2): 948–959.
[38] Canizares CA, Berizzi A, Marannino P. Using FACTS controllers to maximize available transfer capability. In: Proceedings of the Bulk Power Systems Dynamics and Control IV—Restructuring; Santorini, Greece; 1998. pp. 633–641.
[39] Lubis RS, Hadi SP. Selection of suitable location of the FACTS devices for optimal power flow. International Journal of Electrical & Computer Sciences 2012; 12 (3): 38–49.
[40] Srinivasa Rao V, Srinivasa Rao R. Comparison of various methods for optimal placement of FACTS devices. In: 2014 International Conference on Smart Electric Grid; Guntur, India; 2014. pp. 1–7.
[41] Manikandan S, Arul P. Optimal location of multiple FACTS device using sensitivity methods. International Journal of Engineering Trends and Technology 2013; 4 (10): 4361–4367.
[42] Eghtedarpour N, Seifi AR, Sensitivity-based method for the effective location of SSSC. Journal of Power Electronics 2011; 11 (1): 90–96. doi: 10.6113/JPE.2011.11.1.090
[43] Srinivasa Rao R, Srinivasa Rao V. A generalized approach for determination of optimal location and performance analysis of FACTS devices. Electrical Power and Energy Systems 2015; 73 (1): 711–724. doi: 10.1016/j.ijepes.2015.06.004
[44] Schbfer KF, Verstege JF. Adaptive procedure for masking Effect compensation in contingency selection algorithm. IEEE Transactions on Power Systems 1990; 5 (2): 539–546.
[45] Vemuri S, Usher RE. On-line automatic contingency selection algorithms. IEEE Transactions on Power Apparatus and Systems 1983; 102 (2): 346–354. doi: 10.1109/MPER.1983.5519626
[46] Dahal S, Salehfar H. Impact of distributed generators in the power loss and voltage profile of three phase unbalanced distribution network. Electrical Power and Energy Systems 2016; 77 (1): 256–262. doi: 10.1016/j.ijepes.2015.11.038
[47] Sadiq AA, Adamu SS, Buhari M. Optimal distributed generation planning in distribution networks: a comparison of transmission network models with FACTS. Engineering Science and Technology - An International Journal 2019; 22 (1): 33-46. doi: 10.1016/j.jestch.2018.09.013
[48] Zimmerman RD, Murillo-Sanchez CE, Thomas RJ. MATPOWER: steady-state operations, planning, and analysis tools for power systems research and education. IEEE Transaction on Power Systems 2011; 26 (1): 12–19. doi: 10.1109/TPWRS.2010.2051168
[49] Gupta A, Kumar A. ATC determination with heuristic techniques and comparison with sensitivity based methods and GAMS. Procedia Computer Science 2018; 125 (1): 389–397. doi: 10.1016/j.procs.2017.12.051