Total views : 234
A Novel Approach for Phase Balancing of Secondary Distribution Power System
Objectives: The main objective of the power distribution system is to reduce the loss in order to improve the system efficiency, alleviate the cost and increase the consumer satisfaction. Methods/Analysis: Power loss mainly depends on type of the load and its pattern. Load unbalance on distribution feeder leads to current raise in the heavily loaded phase, over voltage in the lightly loaded phase and neutral current and mal functioning of protection equipment. Findings: In power distribution energy management, phase balancing is one among the techniques available to reduce the loss incurred by load unbalance. Phase balancing is a concept of re-phasing service laterals such that load on three phases is balanced. Application/Improvement: The study mainly deals with phase balancing of secondary distribution feeder by rearranging the connections of consumer load/ service laterals. The algorithm is designed to handle time varying loads with an objective of loss reduction and minimum number of phase moves.
Candidate Node, Distribution Feeder, Loss Reduction, Phase Balancing.
- Zhu J, Chow MY, Zhang F. Phase balancing using mixed-integer programming. IEEE Transaction on Power Systems. 1998; 13(4):1487-92.
- Khodr HM, Zerpa IJ, Jesus PM D. Optimal phase balancing in distribution system using mixed-integer linear programming. Proceedings of IEEE PES Transmission and Distribution Conference and Exposition Latin America; Venezuela. 2006. p. 1-5.
- Siti MW, Nicolae DV, Jimoh AA. Reconfiguration and load balancing in the LV and MV distribution networks for optimal performance. IEEE Transaction Power Delivery. 2007; 22(4):2534-40.
- Ukil A, Siti W. Feeder load balancing using fuzzy logic and combinatorial optimization-based implementation. Journal of Electric Power Systems Research. 2008; 78(11):1922–32.
- Gandomkar G. Phase balancing using genetic algorithm. 39th International Universities Power Engineering Conference on Iran; 2004. p. 1-4.
- Dilek M, Broadwater RP. Simultaneous phase balancing at substations and switches with time-varying load patterns. IEEE Transaction Power Systems. 2001; 16(4):922-8.
- Sathishkumar M, Kumar AN, Lakshminarasimman L, Thiruvenkadam A. Self-adaptive hybrid differential evolution algorithm for phase balancing of unbalanced distribution system. Journal of Electric Power Systems. 2012; 42(1):91-7.
- Lin CH, Chen CS, Chuang HJ, Cheng Y H. Heuristic rule-based phase balancing of distribution systems by considering customer load patterns. IEEE Transaction Power Systems. 2005; 20(2):709-16.
- Wang K, Skiena S, Robertazzi TG. Phase balancing algorithms. Journal of Electric Power Systems Research. 2013; 96:218-24.
- Schweickardt GA, Miranda V, Wiman GA. Comparison of metaheuristics algorithms for combinatorial optimization problems, application to phase balancing in electric distribution systems. Journal of Latin America Applied Research. 2011; 41(2):113-20.
- Siti WM, Jimoh A, Nicolae D. Distribution network phase load balancing as a combinatorial optimization problem using fuzzy logic and Newton–Raphson. Journal of Electric Power Systems Research. 2011; 81(5):1079–87.
- Hooshmand RA, Soltani S. Fuzzy optimal phase balancing of radial and meshed distribution networks using BF-PSO algorithm. IEEE Transaction Power Systems. 2012; 27(1):47-57.
- Prasad PV, Sivanagaraju S, Sreenivasulu N. A fuzzy-genetic algorithm for optimal capacitor placement in radial distribution systems. ARPN Journal of Engineering and Applied Sciences. 2007; 2(3):28-32.
- Zdraveski V, Todorovski M, Kocarev L. Dynamic intelligent load balancing in power distribution networks. Journal of Electric Power Systems Research. 2015; 73:157-62.
- IEEE 13 bus test feeder. Available from: http://ewh.ieee.org/soc/pes/dsacom/testfeeders.html
- Danaraj RMS, Kodad SF, Das TR. An algorithm for radial distribution power flow in Complex mode including voltage controlled buses. Indian Journal of Science and Technology. 2007; 1(2):1-5.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.