Power Control of Microgrid with Rich Small Hydropower Stations

Article Preview

Abstract:

In China, some remote areas with rich small hydropower stations suffer from a tradeoff between water surplus and off-limit voltage in the grid during wet seasons. The microgrid of new energy sources provides a new way of solving this problem. Under the background of the microgrid proposed in somewhere of Jiangxi Province, this paper firstly carries out simplified model on the actual system. Output models of PV and small hydropower stations are established. Then with Minimizing transmission losses of microgrid system and the amount of all small hydropower abandoned waters as the optimization objective, and considering the output constraints of each micro power source, power balance constraints and voltage constraints. A micro-power output optimization model is established and then solved by improved particle swarm optimization algorithm. By comparing the micro-power output and system line loss before and after the optimization, it verifies that the proposed power control method can prevent the off-limit voltage effectively and reduce transmission losses of the system.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 986-987)

Pages:

412-418

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Tong Jiandong, Small Hydropower in China [M], China WaterPower Press, 2006: 40-44.

Google Scholar

[2] Bai Yaopeng. Study on the Impact of System Operation Grid-accessed Small Hydropower Stations [D], Beijing Jiaotong University, (2010).

Google Scholar

[3] Ijumba N M, Jimoh A A, Nkabinde M. Influence of distribution generation on distribution network performance: Africon, 1999 IEEE, Cape Town, 1999[C]. (1999).

DOI: 10.1109/afrcon.1999.821901

Google Scholar

[4] Piagi P, Lasseter R H. Autonomous control of microgrids: Power Engineering Society General Meeting, 2006. IEEE, Montreal, Que., 2006[C]. (2006).

DOI: 10.1109/pes.2006.1708993

Google Scholar

[5] Wang Chengshan, Xiao Zhaoxia and Wang Shouxiang, Synthetical Control and Analysis of Microgrid [J], Automation of Electric Power System, 2008(07): 98 - 103.

Google Scholar

[6] Yunwei L, Vilathgamuwa D M, Poh C L. Design, analysis, and real-time testing of a controller for multibus microgrid system [J]. Power Electronics, IEEE Transactions on, 2004,19(5): 1195-1204.

DOI: 10.1109/tpel.2004.833456

Google Scholar

[7] Peas Lopes J A, Moreira C L, Madureira A G. Defining control strategies for MicroGrids islanded operation. Power Systems [J], IEEE Transactions on, 2006,21(2):916-924.

DOI: 10.1109/tpwrs.2006.873018

Google Scholar

[8] Jinlei H, Yao Z L G, Huifan X. Optimization of Power Factor for Operation of Small Hydro Stations: Power System Technology, 2006. PowerCon 2006. International Conference on, Chongqing, 22-26 Oct. 2006[C].

DOI: 10.1109/icpst.2006.321532

Google Scholar

[9] Liu Yi, Ye Sheng and Peng Xiangang, et al. Voltage Optimal Control Research on Small Hydropower Stations Group in Regional Grid [J]. Power System Protection and Control, 2010 (09): 136 - 140.

Google Scholar

[10] Shi Xuntao, Research on Voltage Optimization and Control of Distribution Grid with Small Hydropower [D], South China University of Technology, (2012).

Google Scholar

[11] Zhang Liwen, Zhang Juwei and Tian Wei, et al, Technology and Application of Solar Energy Photovoltaic Power Generation [J], Applied Energy Technology, 2010 (03): 4 - 8.

Google Scholar

[12] Zeng Jianchao, Jie Jing and Cui Zhihua, Particle Swarm Optimization [M], Science Press, 2004: 19-20.

Google Scholar

[13] Ji Zhen, Miao Huilian and Wu Qinghua, Particle Swarm Optimization and Application [M], Science Press, 2009: 17-21.

Google Scholar