Comprehensive Evaluation Research on Grid-Connected Wind Power Based on Fuzzy Interval Analytic Hierarchy Process

Abstract:

The characteristics of wind power such as wave properties, intermittence, seasonal nature, counter regulation and so on have negative effect on power grid; grid-connected wind power on a scale is limited. To aim at the problem that there lacks quantification evaluation method on grid-connected wind power, an comprehensive evaluation index system concerning safety, adequacy, power quality and economy on the power grid which wind power is accepted. By using current advanced fuzzy interval analytic hierarchy process (FIAHP) , analyzing index such as static stability reserve coefficient, peak margin and transmission reliability margin and so on, coming up with the potential risk, thus on the condition of system safety and steady operation, penetrating power can be maximization, utilization rate improved. At last, analysis of the example proves that the evaluation index system and evaluation method is scientific and feasible.

• Periodical: Advanced Materials Research (Volumes 614-615)
• Pages: 999-1007
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.614-615.999
• Online since: December 2012
• Authors: Zhi Dong Wang, Ke Li, Zi Fa Liu
• Keywords: Comprehensive Evaluation Index System, Electric Power System Safety, Fuzzy Interval Analytic Hierarchy Process, Grid-Connected Wind Power

References

[1] Lei Yazhou, Studies on wind farm integration into power system, Automation of Electric Power Systems, vol. 27, pp.84-89, 2003.

[2] Liao Ping, Li Xingyuan, A survey on calculation methods of wind power penetration limit, Power System Technology. vol. 32,pp.50-53, (2008)

[3] Shen Hong, Liang Jun, Dai Huizhu, Calculation of wind farm penetration based on power system transient stability analysis, Power System Technology, vol. 26, pp.8-11,2002.

[4] Lei Ya-zhou, Wang Weisheng, Yin Yonghua, Dai Huizhu, Wind power penetration limit calculation based on chance constrained programming, Proceedings of the Csee, vol.22, pp.32-35, 2002.

[5] Wang Bangyi, Li Lingfang, Huang Wer, Effects of wind power access to power grid on yunnan power grid reactive power and voltage control, Yunnan Electric Power, vol. 38, pp.26-27, 2010.

DOI: 10.1109/isgt-asia.2019.8881321

[6] Li Yu, Fan Gaofeng, Li Qing, Zhao Haixiang, Dai Huizhu, The impact of dabancheng wind farm integration on power quality of xinjiang power grid, vol.31, pp.88-92, (2007)

[7] Papadopoulos M, Simulation and analysis of small and medium size power systems containing wind turbines, IEEE Transactions on Power Aparatus and Systems, vol.6 pp.1453-1458, 1991．

DOI: 10.1109/59.116989

[8] Zhang Hongguang, Studies on the impacts of large scale wind power integration on the security and stability of power systems, Beijing: North China Electric Power University, 2009.

[9] Bei Yingquan, The analysis of mengxi power grid security and stability operation considering large scale wind power connected, Beijing: North China Electric Power University, 2010.

[10] Yi Lidong, Zhu Minyi, Wei Lei, Jiang Ning, Yu Guangliang, A computing method for peak load regulation ability of northwest china power grid connected with large-scale wind farms, Power System Technology, vol.34, p, 129-132, (2010)

[11] Yan Qiaoyan, Wen Buying, Jiang Yuewen, Analysis for reserved capacity of system with wind power connecting into system, Electric Power and Electrical Engineering, vol.29, pp.14-16, 2009.

[12] Alexiadis MC, Dokopoulos PS, Sahsamanoglou HS, Wind speed and power forecasting based on spatial correlation models. IEEE Transactions on Power System. vol. 14 pp.836-842, 1999.

DOI: 10.1109/60.790962

[13] Wang Caixia, Lu Zongxiang, Qiao Ying, Min Yong, Zhou Shuangxi, Short-term wind power forecast based on non-parametric regression model, Automation of Electric Power Systems, vol. 34, pp.78-83, 2010.

[14] The state grid corporation, Wind power grid operation report, Beijing: The state grid corporation, 2009.

[15] Xu Zeshui, Da Qingli, A possibility-based method for priorities of interval judgement matrices, Chinese journal of management science, vol. 11, pp.63-65, 2002.