Abstract
Designing an electrical power distribution system requires many stages of planning and rigorous calculations. One of the vital, integral parts of the planning process is selection of the conductors for design and upgrade of the distribution system. An ideal conductor set should minimise the combined investment cost of conductors and the annual cost of distribution system energy losses while complying the thermal capacity of conductors, system voltage profiles limits and provide best voltage profile for farthest end customers. Proposed method aims to reach the best optimal conductor selection for existing distribution system by solving the optimisation technique using the teaching learning-based optimisation technique with less parameter control. Simulations are executed and discussed by calculating the customer loss allocation before and after the optimal conductor selection in the distribution system. The examined results show the efficacy of the proposed algorithm to satisfy the objective function and constraints.
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References
Chambiya AS, Kumar Sadana N, Mahajan S (2014) A method of selection of the optimal size of the conductor in radial distribution system—a review. Int J Adv Technol Eng Sci 2(6):190–298
Sivanagaraju S, Sreenivasulu N, Vijayakumar M, Ramana T (2002) Optimal conductor selection for radial distribution systems. Electr Power Syst Res 63(2):95–103
Mandal S, Pahwa A (2002) Optimal selection of conductors for distribution feeders. IEEE Trans Power Syst 17(1):192–197
Falaghi H, Ramezani M, Haghifam M-R, Roshan Milani K (2005) Optimal selection of conductors in radial distribution systems with time-varying load. In: 2005 CIRED 18th international conference and exhibition on electricity distribution in Turin, Italy, pp 6–9
Satyanarayana S, Ramana T, Rao GK, Sivanagaraju S (2006) Improving the maximum loading by optimal conductor selection of radial distribution systems. Electr Power Compon Syst 34(7):747–757
AbulWafa AR (2016) Multi-conductor feeder design for radial distribution networks. Electr Power Syst Res 140(11):184–192
Thenepalle MM (2011) A comparative study on optimal conductor selection for radial distribution network using conventional and genetic algorithm approach. Int J Comp Appl 17(2):6–13
Legha MM, Javaheri H, Legha MM (2013) Optimal conductor selection in radial distribution systems for productivity improvement using genetic algorithm. Iraq J Electr Electron Eng 9(1):29–35
Legha MM, Javaheri H (2013) Combination of optimal conductor selection and capacitor placement in radial distribution systems for productivity improvement using genetic algorithm. Int Res J Appl Basic Sci 6(10):1415–1422
Sharma D, Jha P, Vidyasagar S (2013) Optimal conductor selection using genetic algorithm. Int J Eng Res Technol 2(4):660–664
Mendoza F, Requena D, Bernal-Agustin JL, Dominguez-Navarro JA (2006) Optimal conductor size selection in radial power distribution systems using evolutionary strategies. In: 2006 IEEE PES transmission and distribution conference and exposition Venezuela, Latin America, pp 1–5
Ranjan R, Chaturvedi A, Solanki PS, Das D (2003) Optimal conductor selection of radial distribution feeders using evolutionary programming. In: 2003 TENCON conference on convergent technologies for the Asia-Pacific Region, Bangalore, India, pp 456–459
Kalesar BM (2014) Conductor selection optimization in radial distribution system considering load growth using MDE algorithm. World J Model Simul 10(3):175–184
Legha MM, Sangrood RA, Raeiszadeh AZ, Legha MM (2013) Conductor size selection in planning of radial distribution systems for productivity improvement using imperialist competitive algorithm. Int J Tech Phys Prob Eng 5(15):65–69
Legha MM, Ostovar F, Legha MM (2014) Combination of optimal conductor selection and capacitor placement in radial distribution systems using PSO method. Iraq J Electr Electron Eng 10(1):33–41
Legha MM, Noormohamadi H, Barkhori A (2015) Optimal conductor selection in radial distribution using bacterial foraging algorithm and comparison with ICA method. WALIA J 31(3):37–43
Sivanagaraju S, Viswanatha Rao J (2009) Optimal conductor selection in radial distribution system using discrete particle swarm optimization. World J Model Simul 5(2):96–104
Kaur D, Sharma J (2008) Optimal conductor sizing in radial distribution systems planning. Int J Electr Power Energy Syst 30(4):261–271
Rao RS, Satish K, Narasimham SVL (2012) Optimal conductor size selection in distribution systems using the harmony search algorithm with a differential operator. Electr Power Compon Syst 40(1):41–56
Abdelaziz AY, Fathy A (2017) A novel approach based on crow search algorithm for optimal selection of conductor size in radial distribution networks. Eng Sci Technol Int J 20(2):391–402
Ismael SM, Abdel Aleem SHE, Abdelaziz AY, Zobaa AF (2018) Practical considerations for optimal conductor reinforcement and hosting capacity enhancement in radial distribution systems. IEEE Access 6:27268–27277
Ramana T, Ganesh V, Sivanagaraju S (2013) Simple and fast load flow solution for electrical power distribution systems. Int J Electr Eng Inform 5(3):245–255
Rao RV, Savsani VJ, Vakharia DP (2011) Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput Aided Des 43(3):303–315
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Ramana, T., Nararaju, K., Ganesh, V., Sivanagaraju, S. (2020). Customer Loss Allocation Reduction Using Optimal Conductor Selection in Electrical Distribution System. In: Hitendra Sarma, T., Sankar, V., Shaik, R. (eds) Emerging Trends in Electrical, Communications, and Information Technologies. Lecture Notes in Electrical Engineering, vol 569. Springer, Singapore. https://doi.org/10.1007/978-981-13-8942-9_31
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DOI: https://doi.org/10.1007/978-981-13-8942-9_31
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