Abstract
Voltage instability mainly occurs due to domination of lagging loads present in power system; because of voltage instability, power system faces some difficulties. Some effective methods are discussed in order to improve voltage stability. FVSI is effective method that investigates stability of the each line. FVSI indices are calculated for all lines, and these values ranked according to vulnerable to voltage instability. Load bus connected to vulnerable line treated as vulnerable bus and reactive power is injected at that bus and that is optimal location for compensation; this process can be done for different contingencies and optimal size can be determined by PSO. Implementing PSO to the IEEE 14-bus test system optimal location and size of the shunt compensation is found by finding that the search space considering the FVSI indices values by making the FVSI having highest values will be the vulnerable buses, by implementing the PSO iteratively and by randomly updating the reactive power values at each candidate solution. In each iteration, reactive power injection is found at each candidate and checked for the closeness to the desired solution. These local best values are updated depending upon the fitness values as per the found values. After each iteration, pbest values will be updated with the global best values and are called the Gbest. This Gbest will be considered as the final solution for the placement of shunt compensation at those candidate spaces.
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References
Ivanov SO, Gavrilaş M (2016) A hybrid GA-PSO algorithm for static VAR compensation. In: 2016 international conference and exposition on electrical and power engineering (EPE). Iasi, pp 681–686
Kokin S, Manusov V, Matrenin P (2017) Optimal placement of reactive power sources in power supply systems, using particle swarm optimization and artificial Bees colony optimization. In: 2017 18th international scientific conference on electric power engineering (EPE). Koutynad Desnou, pp 1–5
Zeng PP, Qin X, Zhang Y, Liang C (2014) A design methodology for installing reactive compensation equipment in ultra-high voltage AC transmission system based on a modified particle swarm optimisation method. In: 2014 power systems computation conference. Wroclaw, pp 1–6
Moghavvemi M, Faruque O (1998) Real-time contingency evaluation and ranking technique. IEE Proc Gene Transm Distrib 145(5):517–524. Shaheen HI, Rashed GI, Cheng SJ (2000) Optimal location and parameters setting of unified power flow controller based on evolutionary optimization techniques
Eberhart R, Kennedy J (n.d.) A new optimizer using particle swarm theory. In: MHS’95. Proceedings of the sixth international symposium on micro machine and human science. https://doi.org/10.1109/mhs.1995.494215
Kessel P, Glavitsch H (1996) Estimating the voltage stability of a power system. IEEE Trans Power Deliv Pwrd-1(3):346–354
Esmaeil G, Kamwa I (2013) Optimal placement of multiple-type FACTS devices to maximize power system loadability using a generic graphical user interface. IEEE Trans Power Syst 28(2):764–778
Gowtham N, Shankar S (2016) PI tuning of shunt active filter using GA and PSO algorithm. In: 2016 2nd international conference on advances in electrical electronics information communication and bio-informatics (AEEICB)
Musirin I, Abdul Rahman TK (2002) Estimating maximum loadability for weak busidentification using FVSI. IEEE Power Eng Rev 22:50–52
Moghavemmi M, Omar FM (1998) Technique for contingency monitoring and voltage collapse prediction. IEE Proc Gen Transm Distrib 145:634–640
Althowibi FA, Mustafa MW (2010) Voltage stability calculations in power trans-mission lines: indication and allocations. In: IEEE international conference on power and energy, Nov 2010, pp 390–395
Kessel P, Glavitsch H (1986) Estimating the voltage stability of a power system. IEEE Trans Power Deliv 1(3):346–354
Karlsson D, Hill DJ (1994) Modelling and identication of nonlinear dynamic loads in power systems. IEEE Trans Power Syst 9(1):157–166
Hill DJ (1993) Nonlinear dynamic load models with recovery for voltage stability studies. IEEE Trans Power Syst 8(1):166–176
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Venu, Y., Gnanendar, R. (2021). Optimization of Shunt Compensation for Voltage Stability Improvement Using PSO. In: Komanapalli, V.L.N., Sivakumaran, N., Hampannavar, S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. i-CASIC 2020. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. https://doi.org/10.1007/978-981-15-8221-9_275
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DOI: https://doi.org/10.1007/978-981-15-8221-9_275
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