Optimal Control of Energy Storage Based on Fuzzy Dependent-Chance Programming

Abstract:

In order to maximize the match between the output of the Hybrid Wind/Photovoltaic/ Energy storage System and the scheduling curve,the article takes the measure that optimizes and controls the energy storage device one day ahead.Due to the fuzziness of the wind and photovoltaic output, the optimal control method of energy storage is proposed based on a fuzzy dependent-chance programming theory. This method considers the constraints of the energy storage device including the power output and energy constrain, and the matching degree of each time is represented by credibility value.So the final goal is maximizing the mean value of the total credibility within a day of 96 periods.The genetic algorithm based fuzzy simulation is used to solve the model,then we can get the different periods of energy storage charge and discharge power corresponding to the credibility of maximum mean value.

• Periodical: Applied Mechanics and Materials (Volumes 530-531)
• Pages: 1003-1006
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.530-531.1003
• Online since: February 2014
• Authors: Jin Liu*, Shu Qiang Zhao
• Keywords: Dependent-Chance Programming, Energy Storage Optimal Control, Fuzzy Simulation, Genetic Algorithm (GA), Match the Scheduling Curve, Wind/Photovoltaic/Energy Storage (Wind-PV-ES)

References

[1] WANG Jinliang. Wind energy. Power Technology, 2009, 33(7): 628-632.

[2] Sun Yuanzhang, Wu Jun, Li Guojie. Power System Technology, 2007, 31(20): 55-62.

[3] ZHANG Xueli, LIU Qihui, MA Huimeng, LI Bei. Power System and Clean Energy, 2012, 28(5): 75-81.

[4] LI Bei, GUO Jianbo. Power System Technology, 2012, 36（8）: 38-43.

[5] ZHANG Xueqing, LIU Bo, YE Jun, HE Zhong. East China Electric Power, 2012, 38 (12): 1894-1896.

[6] YU Peng, ZHOU Wei, SUN Hui, et al. Pro-ceedings of the CSEE, 2011, 31（17）: 127-133.

[7] Yu Hang. Simulation research on smoothing the wind power fluctuation by using energy storage system[D]. Jilin: Northeast Dianli University, (2008).

[8] LIU Xia, JIANG Quanyuan. Automation of Electric Power System, 2012, 36(14): 95-100.

[9] Ding Ming, Lin Gende, Chen Zinian, et al. Proceedings of the CSEE, 2012, 32(7): 1-6.

[10] Chen Yizhe, Zhang Buhan, Wang Jianghong, et al. Power System echnology, 2011, 35(8): 35-39.

[11] Teleke, M.E. Baran, A.Q. Huang, S. Bhattacharya, IEEE Transactions on Energy Conversation 24(2009)725–732.

[12] Q. Li, S.S. Choi, Y. Yuan, D.L. Yao, IEEE Transactions on. Sustainable Energy 2 (2011)148-158.

[13] Ruey-Hsun L, Liao Jianhao. IEEE Transactions on Power Systems, 2007, 22(4): 1665-1674.

[14] Su C C, Hsu Y Y. IEEE Trans on Power Systems, 1991, 6(3): 1321-1237.

[15] Ai Xin, Liu Xiao, Sun Cuiying. Power System Technology, 2011, 35(12): 202-207.

[16] ZHANG Yu, LIU Yu-dong, JI Zhao. Technical Acoustics, 2009, 28（4）: 532-536.

[17] ZHOU Lin, HUANG Yong, GUO Ke, et al. Power System Protection and Control, 2011, 39(7): 147-152.