Investigating the Impact of Distributed Generators Power Factor to Simultaneous Optimization Analysis

Abstract:

This paper discusses the optimal Distributed Generator (DG) coordination using the Particle Swarm Optimization (PSO) technique where the DG output and location are determined simultaneously. Furthermore, this study analyzes both single DG and multiple DGs configurations. The influence of DG Power Factor (PF) to the optimal DG placement and the DG output are investigated by varying the DG PF values. Specifically, the PF were configured to five values, which are 0.8, 0.85, 0.9, 0.95 and 1.0. From the results, the optimal DG placements are similar, regardless of the PF condition. For example, in the single DG unit experiment, the optimal DG location is at bus 6 whilst in the triple DG units test, the optimal locations are at busses 14, 24, and 30. In contrast, the value of PF significantly influences the optimal DG output and power loss reduction. This study concludes that the design with three DGs where their PFs are configured to 0.8 has the least power loss.

• Periodical: Applied Mechanics and Materials (Volume 785)
• Pages: 253-257
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.785.253
• Online since: August 2015
• Authors: Jasrul Jamani Jamian*, M.W. Mustafa, Mohd Noor Abdullah
• Keywords: Distribution System, Optimal DG Coordination, Power Factor, Power Loss, Simultaneous Analysis

References

[1] T. N. Shukla, S. P. Singh, V. Srinivasarao, K. B. Naik, Optimal Sizing of Distributed Generation Placed on Radial Distribution Systems, Electric Power Components and Systems, 38 (2010) 260-274.

DOI: 10.1080/15325000903273403

[2] A. Soroudi, M. Ehsan, Efficient immune-GA method for DNOs in sizing and placement of distributed generation units, European Transactions on Electrical Power, 21 (2011) 1361-1375.

DOI: 10.1002/etep.501

[3] M. Afkousi-Paqaleh, A.A.T. Fard, M. Rashidinejad, Distributed generation placement for congestion management considering economic and financial issues, Electrical Engineering, 92 (2010) 193-201.

DOI: 10.1007/s00202-010-0175-1

[4] R. K. Singh, S. K. Goswami, Optimum Siting and Sizing of Distributed Generations in Radial and Networked Systems, Electric Power Components and Systems, 37 (2009) 127-145.

DOI: 10.1080/15325000802388633

[5] F. S. Abu-Mouti, M. E. El-Hawary, Heuristic curve-fitted technique for distributed generation optimisation in radial distribution feeder systems, IET Generation, Transmission and Distribution, 5 (2011) 172-180.

DOI: 10.1049/iet-gtd.2009.0739

[6] L. Zhipeng, W. Fushuan, G. Ledwich, J. Xingquan, Optimal sitting and sizing of distributed generators based on a modified primal-dual interior point algorithm, 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, (2011).

DOI: 10.1109/drpt.2011.5994108

[7] V. Veeramsetty, G.V.N. Lakshmi, A. Jayalaxmi, Optimal allocation and contingency analysis of embedded generation deployment in distribution network using genetic algorithm, International Conference on Computing, Electronics and Electrical Technologies, (2012).

DOI: 10.1109/icceet.2012.6203763

[8] K.M. Sharma, K.P. Vittal, A heuristic approach to distributed generation source allocation for electrical power distribution systems, Iranian Journal of Electrical and Electronic Engineering, 6 (2010) 224-231.

[9] V.K. Shrivastava, O.P. Rahi, V.K. Gupta, S.K., Singh, Optimal location of distribution generation source in power system network, IEEE 5th Power India Conference, (2012) 1-6.

DOI: 10.1109/poweri.2012.6479502

[10] V.V.S.N. Murthy, A. Kumar, Comparison of optimal DG allocation methods in radial distribution systems based on sensitivity approaches, International Journal of Electrical Power & Energy Systems, 53 (2013) 450-467.

DOI: 10.1016/j.ijepes.2013.05.018

[11] S.H. Lee, J.W. Park, Optimal Placement and Sizing of Multiple DGs in a Practical Distribution System by Considering Power Loss, IEEE Transactions on Industry Applications, 49 (2013) 2262-2270.

DOI: 10.1109/tia.2013.2260117

[12] J. Kennedy, R. Eberhart, Particle swarm optimization, IEEE International Conference on Neural Networks Proceedings, (1995) 1942-(1948).

[13] Yuhui Shi; Eberhart, R., A modified particle swarm optimizer, IEEE World Congress on Computational Intelligence Evolutionary Computation Proceedings, (1998) 69-73.

DOI: 10.1109/icec.1998.699146