LARGE-SCALE WIND FARM MODELING AND LOSS REDUCTION CONTROL BASDE ON MULTI-AGENT SYSTEM

Xiao Yunqi, Li Haozhi, Lu Zezhong, Ma Jingjing, Fu Nan

Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (9) : 314-320.

PDF(1836 KB)
Welcome to visit Acta Energiae Solaris Sinica, Today is
PDF(1836 KB)
Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (9) : 314-320. DOI: 10.19912/j.0254-0096.tynxb.2020-1369

LARGE-SCALE WIND FARM MODELING AND LOSS REDUCTION CONTROL BASDE ON MULTI-AGENT SYSTEM

  • Xiao Yunqi, Li Haozhi, Lu Zezhong, Ma Jingjing, Fu Nan
Author information +
History +

Abstract

Due to the increasing installed capacity of wind farm, traditional centralized control and communication mode cannot meet the requirements of operation reliability and compatibility. Therefore, a wind farm control framework based on multi-agent is designed, with a novel reactive power control strategy for collector line loss reduction. Meanwhile, a hybrid multi-agent simulation platform based on Java/JADE+MySQL+Matlab/Simulink is developed, on which a 125 MW wind farm is modeled and simulated. The study results verify the effectiveness of the strategy proposed.

Key words

wind farm / reactive power / particle swarm optimization (PSO) / multi Agent systems / JADE platform

Cite this article

Download Citations
Xiao Yunqi, Li Haozhi, Lu Zezhong, Ma Jingjing, Fu Nan. LARGE-SCALE WIND FARM MODELING AND LOSS REDUCTION CONTROL BASDE ON MULTI-AGENT SYSTEM[J]. Acta Energiae Solaris Sinica. 2022, 43(9): 314-320 https://doi.org/10.19912/j.0254-0096.tynxb.2020-1369

References

[1] 黄碧斌, 张运洲, 王彩霞. 中国“十四五”新能源发展研判及需要关注的问题[J]. 中国电力, 2020, 53(1): 1-9.
HUANG B B, ZHANG Y Z, WANG C X.New energy development and issues in China during the 14th five-year plan[J]. Electric power, 2020, 53(1): 1-9.
[2] 韩明, 朱志成, 包大恩. 风电场综合厂用电率统计分析[J]. 风力发电, 2015(4): 36-39.
HAN M, ZHU Z C, BAO D E.Statistical analysis of wind farm integrated auxiliary rate[J]. Wind power, 2015(4): 36-39.
[3] JUNG S, JANG G.A loss minimization method on a reactive power supply process for wind farm[J]. IEEE transactions on power systems, 2017, 32(4): 3060-3068.
[4] 刘昊, 王玮, 唐芬. 基于变功率因数的分散式风电场优化运行策略[J]. 太阳能学报, 2019, 40(2): 387-395.
LIU H, WANG W, TANG F.Optimal operation strategy for dispatch wind farms based on variable power factor[J]. Acta energiae solaris sinica, 2019, 40(2): 387-395.
[5] 丁明, 张宏艳, 韩平平, 等. 考虑机组同调性的风电场无功协调控制[J]. 电网技术, 2014, 38(12): 3390-3395.
DING M, ZHANG H Y, HAN P P, et al.A coordinated reactive power control strategy for wind farm considering coherence of generating units[J]. Power system technology, 2014, 38(12): 3390-3395.
[6] KUMAR V S S, REDDY K K, THUKARAM D. Coordination of reactive power in grid-connected wind farms for voltage stability enhancement[J]. IEEE transactions on power systems, 2014, 29(5): 2381-2390.
[7] 李丽霞, 姚兴佳, 王晓东, 等. 双馈风电场新型无功优化分配策略研究[J]. 太阳能学报, 2017, 38(5): 1397-1404.
LI L X, YAO X J, WANG X D, et al.An optimal reactive power dispatch strategy for interior-point method based wind farms[J]. Acta energiae solaris sinica, 2017, 38(5): 1397-1404.
[8] 王振浩, 葛津铭, 李国庆, 等. 改善风电场群并网地区电压稳定的无功协调控制的研究[J]. 太阳能学报, 2017, 38(4): 983-990.
WANG Z H, GE J M, LI G Q, et al.Research of reactive power coordinated control to improve voltage stability in on-grid region of clastered wind farms[J]. Acta energiae solaris sinica, 2017, 38(4): 983-990.
[9] 肖运启, 张晓航, 苗田银, 等. 基于多Agent协作控制的风电场功率调度策略[J]. 太阳能学报, 2018, 39(7): 2003-2011.
XIAO Y Q, ZHANG X H, MIAO T Y, et al.Wind farm power dispatching control strategy based on multi-agent system[J]. Acta energiae solaris sinica, 2018, 39(7): 2003-2011.
[10] 李海峰, 王海风, 陈珩. 紧急情况下二次电压的多代理协调控制[J]. 电力系统自动化, 2001, 25(24): 17-21.
LI H F, WANG H F, CHEN H.Multi-agent based secondary voltage coordination control in power system contingencies[J]. Automation of electric power systems, 2001, 25(24): 17-21.
[11] LAGORSE J, SIMOES M G, MIRAOUI A.A multiagent fuzzy-logic-based energy management of hybrid systems[J]. IEEE transactions on industry applications, 2009, 45(6): 2123-2129.
PDF(1836 KB)

Accesses

Citation

Detail

Sections
Recommended

/