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Open Access

Impact of the PV Location in Distribution Networks on Network Power Losses and Voltage Fluctuations with PSO Analysis

Puyu Wang ( ), Fangyu Liang, Jinyuan Song, Ningqiang Jiang, Xiao-Ping Zhang, Ling Guo, Xinxin Gu
School of Automation, Nanjing University of Science & Technology (NUST), Nanjing 210094, Jiangsu, China
School of Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom
Nanjing GWDR Relays Technologies Co., Nanjing 210032, Jiangsu, China
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Abstract

Increased grid integration of photovoltaic (PV) has aggravated the uncertainty of distribution network operations. For a distribution network with PV, the impact of the PV location on the network power losses and voltage fluctuations is investigated with analytical derivations reflected by the line impedance. Optimization approaches of the PV location with consideration of two aspects, i.e., minimum network power losses and minimum voltage fluctuations, are analyzed. A particle swarm optimization (PSO) algorithm is used to synthesize an optimal compromised solution so as to determine the PV location. A 10 kV distribution network with one PV is established on the time-domain simulation environment PSCAD/EMTDC. The simulation results justify the theoretical analysis and indicate that when the active power of the PV is more/less than twice that of the overall loads/end loads, the network power losses and node voltage fluctuations are both minimum when the PV is integrated into the head/tail end of the network. When the active power of the PV is between the above two conditions, nodes t/f can be identified for the integration of the PV between the head/end nodes of the network to achieve the minimum network power losses/voltage fluctuations, respectively. The effectiveness of the proposed optimization approach is verified and can provide a reference for selecting the PV location in the distribution network.

Keywords

Distribution networknetwork power lossesparticle swarm optimization (PSO)PV locationvoltage fluctuations

References

[1]
B. Bletterie, S. Kadam, R. Bolgaryn, and A. Zegers, “Voltage control with PV inverters in low voltage networks-in depth analysis of different concepts and parameterization criteria,” IEEE Transactions on Power Systems, vol. 32, no. 1, pp. 177–185, Jan. 2017.
Crossref Google Scholar
[2]
H. George-Williams, M. Lee, and E. Patelli, “Probabilistic risk assessment of station blackouts in nuclear power plants,” IEEE Transactions on Reliability, vol. 67, no. 2, pp. 494–512, Jun. 2018.
Crossref Google Scholar
[3]
P. Pinson, L. Mitridati, C. Ordoudis, and J. Østergaard, “Towards fully renewable energy systems: Experience and trends in Denmark,” CSEE Journal of Power and Energy Systems, vol. 3, no. 1, pp. 26–35, Mar. 2017.
Crossref Google Scholar
[4]
N. Mahmud and A. Zahedi, “Review of control strategies for voltage regulation of the smart distribution network with high penetration of renewable distributed generation,” Renewable and Sustainable Energy Reviews, vol. 64, pp. 582–595, Oct. 2016.
Crossref Google Scholar
[5]
A. Samadi, R. Eriksson, L. Söder, B. G. Rawn, and J. C. Boemer, “Coordinated active power-dependent voltage regulation in distribution grids with PV systems,” IEEE Transactions on Power Delivery, vol. 29, no. 3, pp. 1454–1464, Jun. 2014.
Crossref Google Scholar
[6]
M. Y. Shih, A. Conde, Z. Leonowicz, and L. Martirano, “An adaptive overcurrent coordination scheme to improve relay sensitivity and overcome drawbacks due to distributed generation in smart grids,” IEEE Transactions on Industry Applications, vol. 53, no. 6, pp. 5217–5228, Nov. /Dec. 2017.
Crossref Google Scholar
[7]
F. Olivier, P. Aristidou, D. Ernst, and T. Van Cutsem, “Active management of low-voltage networks for mitigating overvoltages due to photovoltaic units,” IEEE Transactions on Smart Grid, vol. 7, no. 2, pp. 926–936, Mar. 2016.
Crossref Google Scholar
[8]
Y. V. P. Kumar and R. Bhimasingu, “Renewable energy based microgrid system sizing and energy management for green buildings,” Journal of Modern Power Systems and Clean Energy, vol 3, no. 1, pp. 1–13, Mar. 2015.
Crossref Google Scholar
[9]
J. Liu, Y. Miura, and T. Ise, “Comparison of dynamic characteristics between virtual synchronous generator and droop control in inverter-based distributed generators,” IEEE Transactions on Power Electronics, vol. 31, no. 5, pp. 3600–3611, May. 2016.
Crossref Google Scholar
[10]
H. X. Zhan, C. S Wang, Y. Wang, X. H. Yang, X. Zhang, C. J. Wu, and Y. H. Chen, “Relay protection coordination integrated optimal placement and sizing of distributed generation sources in distribution networks,” IEEE Transactions on Smart Grid, vol. 7, no. 1, pp. 55–65, Jan. 2016.
Crossref Google Scholar
[11]
S. X. Zhang, H. Z. Cheng, L. B. Zhang, M. Bazargan, and L. Z. Yao, “Probabilistic evaluation of available load supply capability for distribution system,” IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 3215–3225, Aug. 2013.
Crossref Google Scholar
[12]
Q. Q. Jia, M. C. Zhao, L. L. Sun, G. Y. Du, J. Fan, and H. D. Sun, “Planning for grid-connection of distributed PVs considering the sequential feature and correlation in active distribution network,” Proceeding of the CSEE, vol. 38, no. 6, pp. 1719–1728, Mar. 2018.
Google Scholar
[13]
M. Ding, H. Fang, R. Bi, X. F. Liu, J. Pan, and J. J. Zhang, “Optimal siting and sizing of distributed PV-storage in distribution network based on cluster partition,” Proceeding of the CSEE, vol. 39, no. 4, pp. 2187–2201, Apr. 2019.
Google Scholar
[14]
S. Y. Ge, J. F. Li, H. Liu, H. Sun, and Y. R. Wang, “Research on operation–planning double-layer optimization design method for multi-energy microgrid considering reliability,” Applied Sciences, vol. 8, no. 11, pp. 2062–2072, Oct. 2018.
Crossref Google Scholar
[15]
K. H. Chua, Y. S. Lim, P. Taylor, S. Morris, and J. H. Wong, “Energy storage system for mitigating voltage unbalance on low-voltage networks with photovoltaic systems,” IEEE Transactions on Power Delivery, vol. 27, no. 4, pp. 80–89, Oct. 2012.
Crossref Google Scholar
[16]
C. Wan, J. Zhao, Y. H. Song, Z. Xu; J. Lin, and Z. C. Hu, “Photovoltaic and solar power forecasting for smart grid energy management,” CSEE Journal of Power and Energy Systems, vol. 1, no. 4, pp. 38–46, Dec. 2015.
Crossref Google Scholar
[17]
M. C. Vargas, M. A. Mendes, and O. E. Batista, “Faults location variability in power distribution networks with high PV penetration level,” 13𝑡ℎ IEEE International Conference on Industry Applications, pp. 1-10, Nov. 2018.
Crossref Google Scholar
[18]
G. Y. Yang, F. Marra, M. Juamperez, S. B. Kjær, S. Hashemi, J. Østergaard, H. H. Ipsen, and K. H. B. Frederiksen, “Voltage rise mitigation for solar PV integration at LV grids,” Journal of Modern Power Systems and Clean Energy, vol. 3, no. 3, pp. 411–421, Jul. 2015.
Crossref Google Scholar
[19]
R. B. Bollipo, S. Mikkili, P. K. Bonthagorla, “Hybrid, optimal, intelligent and classical PV MPPT techniques: A review,” CSEE Journal of Power and Energy Systems, vol. 7, no. 1, pp. 9–33, Feb. 2021.
Google Scholar
[20]
S. Weckx and J. Driesen, “Optimal local reactive power control by PV inverters,” IEEE Transactions on Sustainable Energy, vol. 7, no. 4, pp. 1624–1633, Oct. 2016.
Crossref Google Scholar
[21]
J. L. Zhao, Y. W. Li, P. Li, C. S. Wang, H. R. Ji, L. K. Ge, and Y. Song, “Local voltage control strategy of active distribution network with PV reactive power optimization,” in Proceedings of 2017 IEEE Power & Energy Society General Meeting, 2017, pp. 1–5.
Crossref Google Scholar
[22]
T. Ge, “Research on Connection Modes of Distribution Network,” Master dissertation, Huazhong University of Science & Technology, Wuhan, China, pp. 83, 2015.
[23]
X. Chen, “Planning and Voltage Control of Distribution Systems with Distributed Generation Integration,” Ph.D. dissertation, South China University of Technology, Guangzhou, China, pp. 26-58, 2017.
[24]
Chinese Meteorological Science Data Center. Data set of Chinese surface annual value ten-day value[DB/OL]. Available: http://data.cma.cn/dataService/cdcindex/datacode/A.0029.0003/show_value/normal.html.
CSEE Journal of Power and Energy Systems
Volume 8 Issue 2,
March 2022
Pages 523-534
DOI: 10.17775/CSEEJPES.2020.03030
Cite this article:
Wang P, Liang F, Song J, et al. Impact of the PV Location in Distribution Networks on Network Power Losses and Voltage Fluctuations with PSO Analysis. CSEE Journal of Power and Energy Systems, 2022, 8(2): 523-534. https://doi.org/10.17775/CSEEJPES.2020.03030

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Received: 30 June 2020
Revised: 30 August 2020
Accepted: 15 October 2020
Published: 20 November 2020
© 2020 CSEE
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