PLACEMENT OF ACTIVE POWER LINE CONDITIONER IN DISTRIBUTION SYSTEM USING DIFFERENTIAL EVOLUTION
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Feb 27, 2019
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Abstract
Active Power Line Conditioners (APLCs) are considered the most efficient device for mitigation of power system harmonics. In this paper, a problem of allocation and sizing of multiple active power-line conditioners (APLCs) in distorted power distribution systems is handled with novel formulation. The utilized objective function comprises two main factors such as reduction of total harmonic distortion and the total cost of APLCs. The formulated problem is solved by four different optimization techniques GA, PSO, Hybrid GA-PSO and DE. To evaluate the competence of the proposed formulation, the IEEE 18-bus and 69 bus distorted distribution test systems are employed and investigated with various number of APLCs placement. These cases are based on the discrete and limited size for APLCs, requiring the optimization method to solve the constrained and discrete nonlinear problems. Therefore, all the evolutionary algorithms used utilize an integer optimizer. Simulation results confirmed the capability and effectiveness of the proposed formulation and DE algorithm works well in the allocation and sizing of multiple APLCs in a test power system compared with other heuristic algorithms.
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[7] [7] Chang, TT & Chang, HC , An efficient approach for reducing harmonic voltage distortion in distribution systems with active power line conditioners’, IEEE Transactions on Power Delivery, vol. 15, no. 3, pp. 990–995.2000
[8] [8] Grady, WM & Santoso, S , Understanding power system harmonics’, IEEE Power Engineering Review, vol. 1, pp. 8-11.2001
[9] [9] Keypour, R & Seifi, H , Genetic based algorithm for active power filter allocation and sizing, Electric Power System Research, vol. 7, no. 1, pp. 41–49.2004
[10] [10] Iman Ziari & Alireza Jalilian , A New Approach for Allocation and Sizing of Multiple Active Power-Line Conditioners, IEEE Transactions on Power Delivery, vol. 25, no. 2, pp. 1026-1035.2010
[11] [11] Iman Ziari & Alireza Jalilian , Optimal placement and sizing of multiple APLCs using a modified discrete PSO, Electrical Power and Energy System, vol. 43, pp. 630-639.2012
[12] [12] Zhao, Y, Deng, H, Li, J & Xia, D , Optimal planning of harmonic filter on distribution systems by chance constrained programming, Electrical Power System Research, vol. 68, no. 2, pp. 149–156.2001
[13] [13] Kennedy, J & Eberhart, R , Particle swarm optimization, Proceedings of the International conference on neural networks, pp. 1942–1948.1996
[14] [14] Yamilledel Valle, Ganesh Kumar Venayagamoorthy, Salman Mohagheghi, Jean-Carlos Hernandez & Ronald G. Harley , Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems, IEEE Transaction on Evolutionary Computation , vol. 12, no. 2, pp. 171-195.2008
[15] [15] Qin, AK, Huang, VL & Suganthan, PN , Differenial evolution algorithm with strategy adaptation for global numerical optimization’, IEEE Transactions on evolutionary computation, vol.13, no. 2, pp. 398-417.2009
[16] [16] Moradi, MH & Abedini, M , A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems’, Electrical Power and Energy Systems, vol. 34, pp. 66–74.2012
[17] [17] Alsaadi &Gholami, An Effective Approach for Distribution System Power Flow Solution’, World Academy of Science, Engineering and Technology,vol. 25, pp. 220-224. 2009
[18] [18] Wadhwa, CL , Electrical Power systems, sixth edition, New age international Publishers.2010