Optimization of SMES and TCSC using particle swarm optimization for oscillation mitigation in a multi machines power system

Dwi Lastomo, Herlambang Setiadi, Muhammad Ruswandi Djalal

Abstract

Due to the uncertainty of load demand, the stability of power system becomes more insecure. Small signal stability or low-frequency oscillation is one of stability issues which correspond to power transmission between interconnected power systems. To enhance the small signal stability, an additional controller such as energy storage and flexible AC transmission system (FACTS) devices become inevitable. This paper investigates the application of superconducting magnetic energy storage (SMES) and thyristor controlled series compensator (TCSC) to mitigate oscillation in a power system. To get the best parameter values of SMES and TCSC, particle swarm optimization (PSO) is used. The performance of the power system equipped with SMES and TCSC was analyzed through time domain simulations. Three machines (whose power ratings are 71.641, 163, and 85 MW) nine buses power system was used for simulation. From the simulation results, it is concluded that SMES and TCSC can mitigate oscillatory condition on the power system especially in lowering the maximum overshoot up to 0.005 pu in this case. It was also approved that PSO can be used to obtain the optimal parameter of SMES and TCSC.




Keywords


Power System Oscillation; FACTS; SMES; TCSC; PSO

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References


A. U. Krismanto et al., "Microgrid impact on low frequency oscillation and resonance in power system," in 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2016, pp. 424-429.crossref

H. Setiadi and K. O. Jones, "Power System Design using Firefly Algorithm for Dynamic Stability Enhancement," Indonesian Journal of Electrical Engineering and Computer Science, vol. 1, pp. 446-455, 2016.crossref

H. H. Abdeltawab and Y. A.-R. I. Mohamed, "Robust Energy Management of a Hybrid Wind and Flywheel Energy Storage System Considering Flywheel Power Losses Minimization and Grid-Code Constraints," IEEE Transactions on Industrial Electronics, vol. 63, pp. 4242-4254, 2016.crossref

D. Q. Hung et al., "Integration of PV and BES units in commercial distribution systems considering energy loss and voltage stability," Applied Energy, vol. 113, pp. 1162-1170, 2014.crossref

R. Shankar et al., "Impact of energy storage system on load frequency control for diverse sources of interconnected power system in deregulated power environment," International Journal of Electrical Power & Energy Systems, vol. 79, pp. 11-26, 7// 2016.crossref

N. V. Kumar and M. M. T. Ansari, "A new design of dual mode Type-II fuzzy logic load frequency controller for interconnected power systems with parallel AC–DC tie-lines and capacitor energy storage unit," International Journal of Electrical Power & Energy Systems, vol. 82, pp. 579-598, 2016.crossref

M. G. Molina and P. E. Mercado, "Power Flow Stabilization and Control of Microgrid with Wind Generation by Superconducting Magnetic Energy Storage," IEEE Transactions on Power Electronics, vol. 26, pp. 910-922, 2011.crossref

G. Shahgholian and A. Movahedi, "Power system stabiliser and flexible alternating current transmission systems controller coordinated design using adaptive velocity update relaxation particle swarm optimisation algorithm in multi-machine power system," IET Generation, Transmission & Distribution, vol. 10, pp. 1860-1868, 2016.crossref

W. Yao et al., "Adaptive power oscillation damping controller of superconducting magnetic energy storage device for interarea oscillations in power system," International Journal of Electrical Power & Energy Systems, vol. 78, pp. 555-562, 2016.crossref

T. Kerdphol et al., "Optimization of a battery energy storage system using particle swarm optimization for stand-alone microgrids," International Journal of Electrical Power & Energy Systems, vol. 81, pp. 32-39, 2016.crossref

K. Prasertwong et al., "Understanding low-frequency oscillation in power systems," International Journal of Electrical Engineering Education, vol. 47, pp. 248-262, 2010.crossref

P. M. Anderson and A. A. Fouad, Power system control and stability: John Wiley & Sons, 2008.

J. Machowski et al., Power system dynamics: stability and control: John Wiley & Sons, 2011.

M. R. Djalal et al., "Optimal placement and tuning power system stabilizer using Participation Factor and Imperialist Competitive Algorithm in 150 kV South of Sulawesi system," in 2015 International Seminar on Intelligent Technology and Its Applications (ISITIA), 2015, pp. 147-152.crossref

H. Setiadi et al., "Penalaan Parameter Superconducting Magnetic Energy Storage (SMES) menggunakan Firefly Algorithm (FA) pada Sistem Tenaga Listrik Multimesin," Jurnal Teknik ITS, vol. 3, pp. B12-B17, 2014.

K. Y. Cheung et al., "Large-scale energy storage systems," Imperial College London, ISE2, pp. 2002-2003, 2003.

M. H. Ali et al., "Enhancement of transient stability by fuzzy logic-controlled SMES considering communication delay," International Journal of Electrical Power & Energy Systems, vol. 31, pp. 402-408, 2009.crossref

M. M. T. Ansari and S. Velusami, "Dual mode linguistic hedge fuzzy logic controller for an isolated wind–diesel hybrid power system with superconducting magnetic energy storage unit," Energy Conversion and Management, vol. 51, pp. 169-181, 2010.crossref

E. Ali and S. Abd-Elazim, "TCSC damping controller design based on bacteria foraging optimization algorithm for a multimachine power system," International Journal of Electrical Power & Energy Systems, vol. 37, pp. 23-30, 2012.crossref

J. F. Kennedy et al., Swarm intelligence: Morgan Kaufmann, 2001.

Y. Del Valle et al., "Particle swarm optimization: basic concepts, variants and applications in power systems," IEEE Transactions on evolutionary computation, vol. 12, pp. 171-195, 2008.crossref

M. Clerc, Particle swarm optimization vol. 93: John Wiley & Sons, 2010.

A. U. Krismanto et al., "Influence of renewable energy based microgrid on low frequency oscillation of power systems," in 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2015, pp. 1-5.crossref

S. Panda, "Differential evolutionary algorithm for TCSC-based controller design," Simulation Modelling Practice and Theory, vol. 17, pp. 1618-1634, 2009.crossref


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