Zhong-Zheng Tong1,*, Yang-Zi Sun2, Wen-Bin Liu1, Chu-Ran Deng1
1Information Center of Guangdong Power Grid Co., Ltd., Guangzhou, Guangdong 510080, China
2Shanwei Power Supply Bureau of Guangdong Power Grid Co., Ltd., Shanwei, Guangdong 516600, China
*Corresponding author: Zhong-Zheng Tong
Abstract
With rapid increase
in wind power penetration into the power grid, unbalanced power flow in
distribution network with distributed generators is becoming increasingly
important to power sysytem. Due to the variability and uncertainty of wind,
such traditional unbalanced power flow analysis
method for distributed power supply limit the use of the
existing tools for decision-making under uncertain conditions. As a result,
unbalanced power flow analysis method, which provides information on
uncertainty associated with wind power analysis, is gaining increased
attention. This paper presents a novel hybrid intelligent algorithm for deterministic
unbalanced power flow in distribution network with distributed generators that
utilizes a combination of Cauchy particle swarm optimization (CPSO) and fuzzy ARTMAP (FA) network,
which is optimized by using PSD-BPA. The performance of the proposed model is
assessed utilizing wind power data from the Baolihua wind farm in Southern
China. Unbalanced power flow
in distribution network with distributed generators is researched. The typical
static load model is established and the impact of distributed generators on
feeder voltage profile is analyzed under unbalanced loads. The simulation
results are given. References for the global planning of unbalance compensation in
distribution network can be provided by the study.
References
[1] Ciric R, Nouri H, Terzija V. Impact of distributed generators on arcing faults in distribution networks [J]. Generation, Transmission & Distribution, IET, 2011, 5(5): 596-601.
[2] Richard E B. Impact of Smart Grid on distribution system design [C]. IEEE Power and Energy Society General Meeting, Pittsburgh, July 2008:1-4.
[3] Rahimi F, Ipakchi A. Demand response as a market resource under the Smart Grid paradigm [J]. IEEE trans. Smart Grid, June 2010, 1(1): 82-85.
[4] Li F X, Qiao H B, Sun H, et al. Smart transmission grid: vision and framework [J]. IEEE trans. Smart Grid, 2010, 1(2): 168-171.
[5] El-Khattam W, Sidhu T S. Restoration of directional overcurrent relay coordination in distributed generation systems utilizing fault current limiter [J]. IEEE trans. Power Delivery, April 2008, 23(2): 576-585.
[6] Hazel T G, Hiscock N, Hiscock J. Voltage regulation at sites with distributed generation [J]. IEEE trans. Industry Applications, 2008, 44(2):445-454.
[7] Viawan F A, Karlsson D. Coordinated voltage and reactive power control in the presence of distributed generation [C]. Power and Energy Society General Meeting, July 2008: 1-6.
[8] Li Zh X, Sun Q Y, Zhang H G. Voltage profile of feeder with multiple distributed generators [C]. CIAC’ 2009, Nanjing, China, 2009.
[9] Kamh M Z, Iravani R. A unified three-phase power-flow analysis model for electronically coupled distributed energy resources [J]. IEEE trans. Power Delivery, 2011, 2(26): 899-909.
How to cite this paper
Study on Unbalanced Power Flow in Distribution Network with Distributed Generators of Power Grid
How to cite this paper: Zhong-Zheng Tong, Yang-Zi Sun, Wen-Bin Liu, Chu-Ran Deng. (2018) Study on Unbalanced Power Flow in Distribution Network with Distributed Generators of Power Grid. Journal of Applied Mathematics and Computation, 2(8), 285-290.
DOI: http://doi.org/10.26855/jamc.2018.08.001