AN ELITIST GRAVITATIONAL SEARCH ALGORITHM BASED APPROACH FOR OPTIMAL PLACEMENT OF FAULT CURRENT LIMITERS IN POWER SYSTEMS

Yıl 2019, Cilt: 37 Sayı: 3, 691 - 704, 01.09.2020

Ali Abdalı Kazem Mazlumı Amir Bagherı

Öz

Power system is getting complex due to a boost in the number of new power plants and the expansion of the transmission system in order to meet the growing for electricity. This scenario results in a large number of short circuits in the system, which may exceed the rating of existing circuit breakers (CBs) and may severely destroy system equipment. Installing fault current limiters (FCLs) into the power system is one of the most cost-effective ways to degrade fault current levels. This paper presents a method to specify the optimal numbers and locations for FCLs placement in terms of installing the smallest FCL parameters to restrain short-circuit currents below the interrupting currents of circuit breakers, to minimize transmission loss. Due to a lack of genetic, PSO and other optimization algorithms, an Elitist Gravitational Search Algorithm (EGSA) for more accurate and better results is used. This algorithm is employed to search for the location and parameter of FCLs to meet the specific requirements. The proposed method is applied to the IEEE 30-bus test system. Simulation results indicated the adequacy and precision of the proposed method.

Anahtar Kelimeler

: Fault Current Limiter (FCL), Elitist Gravitational Search Algorithm (EGSA), Optimal Placement, Circuit Breaker (CB)

Kaynakça

• [1] Chen L, Deng C, Guo F, Tang Y, Shi J, and Ren L, “Reducing the fault current and overvoltage in a distribution system with distributed generation units through an active type sfcl,” IEEE Transactions on Applied Superconductivity, vol. 24, no. 3, pp. 1–5, 2014.
• [2] Khazali A and Kalantar M, “Optimal power flow considering fault current level constraints and fault current limiters,” International Journal of Electrical Power & Energy Systems, vol. 59, pp. 204–213, 2014.
• [3] Blair SM, Booth CD, Burt GM, and Bright CG, “Application of multiple resistive superconducting fault-current limiters for fast fault detection in highly interconnected distribution systems,” IEEE Transactions on Power Delivery, vol. 28, no. 2, pp. 1120–1127, 2013.
• [4] Ghanbari T and Farjah E, “A multiagent-based fault-current limiting scheme for the microgrids,” IEEE Transactions on Power Delivery, vol. 29, no. 2, pp. 525–533, 2014.
• [5] Ghanbari T and Farjah E, “Unidirectional fault current limiter: an efficient interface between the microgrid and main network,” IEEE Transactions on Power Systems, vol. 28, no. 2, pp. 1591–1598, 2013.
• [6] Yu P, Venkatesh B, Yazdani A, and Singh BN, "Optimal Location and Sizing of Fault Current Limiters in Mesh Networks Using Iterative Mixed Integer Nonlinear Programming.", Power Systems, IEEE Transactions on, 2016, doi: 10.1109/TPWRS.2015.2507067
• [7] Shahriari SAA, Varjani AY, and Haghifam MR, “Cost reduction of distribution network protection in presence of distributed generation using optimized fault current limiter allocation,” International Journal of Electrical Power & Energy Systems, vol. 43, no. 1, pp. 1453–1459, 2012.
• [8] Zare S, Khazali A, Hashemi SM, Katebi F, and Khalili R, “Fault current limiter optimal placement by harmony search algorithm,” in 22nd international conference and exhibition on electricity distribution (CIRED), pp. 10–13, 2013.
• [9] Bahramian-Habil H, Azad-Farsani E, et al., “A novel method for optimum fault current limiter placement using particle swarm optimization algorithm,” International Transactions on Electrical Energy Systems, vol. 25, no. 10, pp. 2124–2132, 2015.
• [10] Chantachiratham P and Hongesombut K, “Pso based approach for optimum fault current limiter placement in power system,” in Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2012 9th International Conference on, pp. 1–4, IEEE, 2012.
• [11] Teng JH and Lu CN, “Optimum fault current limiter placement with search space reduction technique,” IET generation, transmission & distribution, vol. 4, no. 4, pp. 485–494, 2010.
• [12] Didier G, L´evˆeque J, and Rezzoug A, “A novel approach to determine the optimal location of sfcl in electric power grid to improve power system stability,” IEEE Transactions on Power Systems, vol. 28, no. 2, pp. 978–984, 2013.
• [13] Sung BC, Park DK, Park JW, and Ko TK, “Study on optimal location of a resistive sfcl applied to an electric power grid,” IEEE Transactions on applied superconductivity, vol. 19, no. 3, pp. 2048– 2052, 2009.
• [14] Kim SY, Kim WW, and Kim JO, “Determining the location of superconducting fault current limiter considering distribution reliability,” IET generation, transmission & distribution, vol. 6, no. 3, pp. 240–246, 2012.
• [15] Huchel L, Zeineldin H, and El-Saadany E, "Protection Coordination Index Enhancement Considering Multiple DG Locations Using FCL." Power Delivery, IEEE Transactions, 2016, doi: 10.1109/TPWRD.2016.2533565
• [16] Didier G and L´evˆeque J, “Influence of fault type on the optimal location of superconducting fault current limiter in electrical power grid,” International Journal of Electrical Power & Energy Systems, vol. 56, pp. 279–285, 2014.
• [17] Yang HT, Tang WJ, Wang C, Lubicki P, and Wang S, "Placement of Fault Current Limiters in Power System through a Two-stage Optimization Approach." Power Delivery, IEEE Transactions, 2016, doi: 10.1109/TPWRD.2016.2524667
• [18] Yang HT, Tang WJ, Wang C, Lubicki P, and Wang S, "Placement of Fault Current Limiters in Power Systems by HFLS Sorting and HIGA Optimization Approach." International Conference on Power Systems Transients (IPST2015) in Cavtat, Croatia June 15-18, 2015
• [19] Chen WS, Yang HT, and Huang HY, “Optimal design of support insulators using hashing integrated genetic algorithm and optimized charge simulation method,” IEEE Transactions on Dielectrics and Electrical Insulation, vol. 15, no. 2, pp. 426–433, 2008.
• [20] Deb K, Multi-objective optimization using evolutionary algorithms, vol. 16. John Wiley & Sons, 2001.
• [21] Dasgupta D and Michalewicz Z, Evolutionary algorithms in engineering applications. Springer Science & Business Media, 2013.
• [22] Rashedi E, Nezamabadi-Pour H, and Saryazdi S, “Gsa: a gravitational search algorithm,” Information sciences, vol. 179, no. 13, pp. 2232– 2248, 2009.
• [23] Rashedi E, Nezamabadi-Pour H, and Saryazdi S, “Filter modeling using gravitational search algorithm,” Engineering Applications of Artificial Intelligence, vol. 24, no. 1, pp. 117–122, 2011.
• [24] Hassanzadeh HR and Rouhani M, “A multi-objective gravitational search algorithm,” in Computational Intelligence, Communication Systems and Networks (CICSyN), 2010 Second International Conference on, pp. 7–12, IEEE, 2010.