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Recent Advances in Electrical & Electronic Engineering

Editor-in-Chief

ISSN (Print): 2352-0965
ISSN (Online): 2352-0973

Research Article

A Novel Voltage/var Sensitivity Calculation Method to Partition the Distribution Network Containing Renewable Energy

Author(s): Yuqi Ji, Xuehan Chen, Ping He*, Xiaomei Liu, Xiaopeng Wu and Chen Zhao

Volume 16, Issue 4, 2023

Published on: 29 December, 2022

Page: [380 - 394] Pages: 15

DOI: 10.2174/2352096516666221130150549

Price: $65

Abstract

As the current calculation method of voltage/var sensitivity (VVS) could not reflect the temporal variations of power sources and load, the paper proposes a novel VVS calculation method to partition the distribution network containing renewable energy. Firstly, the defects of the existing VVS calculation methods are analyzed, and a novel VVS calculation method is proposed by adding reactive power output perturbation to the reactive power source. Secondly, the VVS matrix is fuzzified to obtain the membership matrix between each node. Based on the membership relationship between the reactive power source nodes, the nodes with a strong coupling relationship are merged to determine the initial number of partitioning. Then, the final partitioning result is determined according to the affiliation between each load node and each reactive power source. Finally, the partitioning result is evaluated based on the partitioning membership indexes. The proposed approach is tested on the IEEE 33-node distribution test system, and numerical simulations verify the high efficiency of partitioning. The simulation results show that the proposed method can reflect the temporal variations of power sources and load, and ensure the reasonable distribution of voltage and reactive power in each zone.

Background: The voltage/var control of the power system is an important means to ensure the safe, economic and stable operation of the system.

Objective: The paper proposes a novel VVS calculation method to partition the distribution network containing renewable energy.

Methods: Firstly, the existing problems of electrical distance index are analyzed. A novel VVS matrix calculation method is proposed, which calculates the VVS of each reactive power source to the remaining nodes by adding voltage/var output perturbation to the reactive power source. Secondly, the VVS matrix is fuzzified to obtain the membership matrix between each node. Based on the membership relationship between the reactive power source nodes, the power supply nodes with strong coupling relationship are merged to determine the initial number of the partitioning. Then, the final partitioning result is determined according to the affiliation between each load node and each reactive power source. Finally, the partitioning result is evaluated based on the sensitivity index of membership degree.

Results: The proposed approach is tested on the IEEE 33-node distribution test system and numerical simulations verify high efficiency of the partitioning. The simulation results show that the proposed method can reflect the temporal variations of power sources and load, and ensure the reasonable distribution of voltage and reactive power in each zone.

Conclusion: The proposed method can reflect the temporal variations of power sources and load, and ensure the reasonable distribution of voltage and reactive power in each zone. This paper proposed a fuzzy clustering partitioning based on a novel calculation method of VVS, which is suitable for the problem of variable voltage /var running state of the system under high-proportion DG access.

Keywords: Voltage/var sensitivity, Reactive power output perturbation, Partitioning membership index, phase angle, Jacobian matrix, NR algorithm.

[1]
N. Sheykhi, A. Salami, J.M. Guerrero, G.D. Agundis-Tinajero, and T. Faghihi, "A comprehensive review on telecommunication challenges of microgrids secondary control", Int. J. Electr. Power Energy Syst., vol. 140, p. 108081, 2022.
[http://dx.doi.org/10.1016/j.ijepes.2022.108081]
[2]
A. Kulmala, S. Repo, and P. Jarventausta, "Coordinated voltage control in distribution networks including several distributed energy resources", IEEE Trans. Smart Grid, vol. 5, no. 4, pp. 2010-2020, 2014.
[http://dx.doi.org/10.1109/TSG.2014.2297971]
[3]
M. Tofighi-Milani, S. Fattaheian-Dehkordi, M. Fotuhi-Firuzabad, and M. Lehtonen, "Coordinated voltage control in distribution networks including several distributed energy resources", IEEE Trans. Smart Grid, vol. 13, pp. 3582-3593, 2022.
[http://dx.doi.org/10.1109/TSG.2022.3172757]
[4]
T. Qian, Y. Liu, W. Zhang, W. Tang, and M. Shahidehpour, "Event-triggered updating method in centralized and distributed secondary controls for islanded microgrid restoration", IEEE Trans. Smart Grid, vol. 11, no. 2, pp. 1387-1395, 2020.
[http://dx.doi.org/10.1109/TSG.2019.2937366]
[5]
H. Jiang, X. Dai, D.W. Gao, J.J. Zhang, Y. Zhang, and E. Muljadi, "Spatial-Temporal synchrophasor data characterization and analytics in smart grid fault detection, identification, and impact causal analysis", IEEE Trans. Smart Grid, vol. 7, no. 5, pp. 2525-2536, 2016.
[http://dx.doi.org/10.1109/TSG.2016.2552229]
[6]
P. Lagonotte, J.C. Sabonnadiere, J-Y. Leost, and J-P. Paul, "Structural analysis of the electrical system: Application to secondary voltage control in France", IEEE Trans. Power Syst., vol. 4, no. 2, pp. 479-486, 1989.
[http://dx.doi.org/10.1109/59.193819]
[7]
T. Jiang, L. Bai, H. Jia, and F. Li, "Spectral clustering‐based partitioning of volt/VAR control areas in bulk power systems", IET Gener. Transm. Distrib., vol. 11, no. 5, pp. 1126-1133, 2017.
[http://dx.doi.org/10.1049/iet-gtd.2016.0709]
[8]
R.J. Sanchez-Garcia, M. Fennelly, S. Norris, N. Wright, G. Niblo, J. Brodzki, and J.W. Bialek, "Hierarchical spectral clustering of power grids", IEEE Trans. Power Syst., vol. 29, no. 5, pp. 2229-2237, 2014.
[http://dx.doi.org/10.1109/TPWRS.2014.2306756]
[9]
B. Zhao, Z. Xu, C. Xu, C. Wang, and F. Lin, "Network partition-based zonal voltage control for distribution networks with distributed PV systems", IEEE Trans. Smart Grid, vol. 9, no. 5, pp. 4087-4098, 2018.
[http://dx.doi.org/10.1109/TSG.2017.2648779]
[10]
M. Rohden, A. Sorge, D. Witthaut, and M. Timme, "Impact of network topology on synchrony of oscillatory power grids", Chaos, vol. 24, no. 1, p. 013123, 2014.
[http://dx.doi.org/10.1063/1.4865895] [PMID: 24697385]
[11]
H. De Oliveira Caetano, C. Maciel, M. Bessani, and L. Neto, "A variable neighborhood descent approach for electrical grids as an overload reduction method", Rev. IEEE Am. Lat., vol. 19, no. 10, pp. 1674-1683, 2021.
[http://dx.doi.org/10.1109/TLA.2021.9477270]
[12]
C. Zhao, J. Zhao, C. Wu, X. Wang, F. Xue, and S. Lu, "Power grid partitioning based on functional community structure", IEEE Access, vol. 7, pp. 152624-152634, 2019.
[http://dx.doi.org/10.1109/ACCESS.2019.2948606]
[13]
X. Wang, F. Xue, S. Lu, L. Jiang, E. Bompard, and M. Masera, "Understanding communities from a new functional perspective in power grids", IEEE Syst. J., vol. 16, no. 2, pp. 3072-3083, 2022.
[http://dx.doi.org/10.1109/JSYST.2022.3151388]
[14]
B.S. Zhang, A.Y.S. Lam, A.D. Dominguez-Garcia, and D. Tse, "An optimal and distributed method for voltage regulation in power distribution systems", IEEE Trans. Smart Grid, vol. 30, pp. 1714-1726, 2015.
[15]
A. Di Fazio, M. Russo, and M. De Santis, "Zoning evaluation for voltage optimization in distribution networks with distributed energy resources", Energies, vol. 12, no. 3, p. 390, 2019.
[http://dx.doi.org/10.3390/en12030390]
[16]
L. Zhang, B. Tong, Z.Q. Wang, W. Tang, and C. Shen, "Optimal configuration of hybrid AC/DC distribution network considering the temporal power flow complementarity on lines", IEEE Trans. Smart Grid, no. 8, pp. 616-626, 2021.
[17]
J. Zhao, C. Wang, B. Zhao, F. Lin, Q. Zhou, and Y. Wang, "A review of active management for distribution networks: Current status and future development trends", Electr. Power Compon. Syst., vol. 42, no. 3-4, pp. 280-293, 2014.
[http://dx.doi.org/10.1080/15325008.2013.862325]
[18]
Q. Li, Y. Zhang, T. Ji, X. Lin, and Z. Cai, "Volt/var control for power grids with connections of large-scale wind farms: A review", IEEE Access, vol. 6, pp. 26675-26692, 2018.
[http://dx.doi.org/10.1109/ACCESS.2018.2832175]
[19]
J. Barr, and R. Majumder, "Integration of distributed generation in the volt/var management system for active distribution networks", IEEE Trans. Smart Grid, vol. 6, no. 2, pp. 576-586, 2015.
[http://dx.doi.org/10.1109/TSG.2014.2363051]
[20]
H. Ruan, H. Gao, Y. Liu, L. Wang, and J. Liu, "Distributed voltage control in active distribution network considering renewable energy: A novel network partitioning method", IEEE Trans. Power Syst., vol. 35, no. 6, pp. 4220-4231, 2020.
[http://dx.doi.org/10.1109/TPWRS.2020.3000984]
[21]
J. Zhou, J. Zhao, Y. Cai, M. Liu, S. Zhang, and Q. Song, "Dynamic zoning and collaborative control of autonomous region of an active distribution network based on synchronous measurement information", J. Nanoelectr. Optoelectr., vol. 17, no. 1, pp. 104-111, 2022.
[http://dx.doi.org/10.1166/jno.2022.3174]
[22]
J. Ding, Q. Zhang, S. Hu, Q. Wang, and Q. Ye, "Clusters partition and zonal voltage regulation for distribution networks with high penetration of PVs", IET Gener. Transm. Distrib., vol. 12, no. 22, pp. 6041-6051, 2018.
[http://dx.doi.org/10.1049/iet-gtd.2018.6255]
[23]
X. Zhang, Y. Chen, Y. Wang, R. Ding, Y. Zheng, Y. Wang, X. Zha, and X. Cheng, "Reactive voltage partitioning method for the power grid with comprehensive consideration of wind power fluctuation and uncertainty", IEEE Access, vol. 8, pp. 124514-124525, 2020.
[http://dx.doi.org/10.1109/ACCESS.2020.3004484]
[24]
C. Luo, H. Wu, Y. Zhou, Y. Qiao, and M. Cai, "Network partition-based hierarchical decentralised voltage control for distribution networks with distributed PV systems", Int. J. Electr. Power Energy Syst., vol. 130, p. 106929, 2021.
[http://dx.doi.org/10.1016/j.ijepes.2021.106929]
[25]
H. Zhang, M. Peng, H. Wu, L. Zhu, H. Che, and Z. Liu, "A strategy for intentional islanding of distribution networks based on node electrical relevance and artificial bee colony algorithm", IEEJ Trans. Electr. Electron. Eng., vol. 13, no. 1, pp. 84-91, 2018.
[http://dx.doi.org/10.1002/tee.22501]
[26]
L. Zhang, B. Xu, W. Tang, B. Zhang, and C. Shen, "Intra-day correction strategy of dispatching plan for AC/DC hybrid distribution network based on spatio-temporal power coordination", Power Syst. Automat., vol. 45, pp. 106-114, 2021.
[27]
E. Cotilla-Sanchez, P.D.H. Hines, C. Barrows, and S. Blumsack, "Comparing the topological and electrical structure of the north American electric power infrastructure", IEEE Syst. J., vol. 6, no. 4, pp. 616-626, 2012.
[http://dx.doi.org/10.1109/JSYST.2012.2183033]
[28]
D. Shi, and D.J. Tylavsky, "A novel bus-aggregation-based structure-preserving power system equivalent", IEEE Trans. Power Syst., vol. 30, no. 4, pp. 1977-1986, 2015.
[http://dx.doi.org/10.1109/TPWRS.2014.2359447]
[29]
Y. Jia, and Z. Xu, "A direct solution to biobjective partitioning problem in electric power networks", IEEE Trans. Power Syst., vol. 32, no. 3, pp. 2481-2483, 2017.
[http://dx.doi.org/10.1109/TPWRS.2016.2607638]
[30]
A.A. Munshi, and Y.A.R.I. Mohamed, "Photovoltaic power pattern clustering based on conventional and swarm clustering methods", Sol. Energy, vol. 124, pp. 39-56, 2016.
[http://dx.doi.org/10.1016/j.solener.2015.11.010]
[31]
Q. Chen, X.M. Dong, M. Yang, H.F. Li, G.S. Liu, T. Jin, Y. Wang, and M.Q. Wang, "Power flow analysis of AC-DC networks considering hierarchical connection technique", Int. J. Electr. Power Energy Syst., vol. 115, pp. 1-10, 2021.
[32]
Z. Wang, L. Zhang, W. Tang, Y. Chen, and C. Shen, "Equilibrium allocation strategy of multiple ESSs considering the economics and restoration capability in DNs", Appl. Energy, vol. 306, p. 118019, 2022.
[http://dx.doi.org/10.1016/j.apenergy.2021.118019]

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