Solving Load Phase Balancing Problem in LV Distribution Networks by Chaotic Simulated Annealing

Abstract:

Phase balancing problem is to make a feeder system balanced in terms of phases in low voltage (LV) distribution networks. In this paper, we investigate the use of chaotic simulated annealing (CSA) for realize phase balancing in the low voltage circuit of the distribution network. The network energy function of the CSA is constructed for objective function that defined the load balancing problem. The CSA is applied to solve the problem when load is represented in terms of current flow at the connection points. The results obtained using CSA are compared with those from a heuristic algorithm. Simulations results show that the CSA is very effective and outperforms the heuristic algorithm in terms of the maximum difference of the phase currents

• Periodical: Advanced Materials Research (Volumes 463-464)
• Pages: 689-693
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.463-464.689
• Online since: February 2012
• Authors: Chun Guo Fei
• Keywords: Chaotic Simulated Annealing, Combinatorial Optimization, Load Phase Balancing, Low Voltage, Power Less, Power System

References

[1] M. W. Siti, D. V. Nicolae, A. A. Jimoh, and A. Ukil, Reconfiguration and load balancing in the LV and MV distribution networks for optimal performance, IEEE Transactions on Power Delivery, vol. 22, pp.2534-2540, (2007).

DOI: 10.1109/tpwrd.2007.905581

[2] A. Ukil, W. Siti, and J. Jordaan, Feeder load balancing using neural network, in International Symposium on Neural Netwoks, Chengdu, China, 2006, pp.28-31.

DOI: 10.1007/11760023_190

[3] A. Augugliaro, L. Dusonchet, and E. R. Sanseverino, Service restoration in compensated distribution networks using a hybrid genetic algorithm, Electric Power Systems Research, vol. 46, pp.59-66, (1998).

DOI: 10.1016/s0378-7796(98)00025-x

[4] Y. -Y. Hong and S. -Y. Ho, Genetic algorithm based network reconfiguration for loss minimization in distribution systems, Power Engineering Society General Meeting, vol. 1, pp.13-17, (2003).

DOI: 10.1109/pes.2003.1267225

[5] C. -T. Su, C. -F. Chang, and J. -P. Chiou, Distribution network reconfiguration for loss reduction by ant colony search algorithm, Electric Power Systems Research, vol. 75, pp.190-199, (2005).

DOI: 10.1016/j.epsr.2005.03.002

[6] S. -W. Wang, Fuzzy logic for developments and applicatons of unbalance tree-phase feeder models, in Joint Conference on Information Sciences 2006, Kaohsiung, Taiwan, (2006).

[7] A. Ukil and W. Siti, Feeder load balancing using fuzzy logic and combinatorial optimization-based implementation, Electric Power Systems Research, vol. 78, pp.1992-1932, (2008).

DOI: 10.1016/j.epsr.2008.03.020

[8] J. A. Martin and A. J. Gil, A new heuristic approach for distribution systems loss reduction, Electric Power Systems Research, vol. 78, pp.1953-1958, (2008).

DOI: 10.1016/j.epsr.2008.04.001

[9] L. Chen and K. Aihara, Chaotic simulated annealing by a neural network model with transient chaos, Neural Networks, vol. 8, pp.915-930, (1995).

DOI: 10.1016/0893-6080(95)00033-v