全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

云模型理论在互联电力系统负荷频率控制中的应用

DOI: 10.13334/j.0258-8013.pcsee.2015.02.012, PP. 353-358

Keywords: 云模型,互联电力系统,负荷频率控制,不确定性,自适应

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对负荷频率控制系统具有不确定性问题,提出一种基于云模型理论的多区域互联电力系统负荷频率自适应PI控制方法。该方法以区域控制偏差量e作为云模型发生器的前件,PI控制器参数的整定值ΔP和ΔI作为云模型发生器的后件,建立适于负荷频率控制的一维云模型PI控制器。同时分别从频域和时域角度模拟不同情况下的负荷扰动,采用云模型控制器对PI控制器参数自调整,实现电力系统的负荷频率控制。仿真结果表明,在满足各种负荷扰动情况下,所提方法可有效地跟踪功率波动所引起的频率偏差,满足负荷频率控制指标,具有更强的抗干扰性和鲁棒性,其控制效果明显优于传统PI控制器。

References

[1]  Altas I H,Neyens J.A fuzzy logic decision maker and controller for reducing load frequency oscillations in multi-area power systems[C]//IEEE Power Engineering Society General Meeting.2006:1-9.
[2]  张建武,刘向杰,黄宏清.电力市场环境下的新型负荷频率控制方法[J].电网技术,2008,32(17):64-69.Zhang Jianwu,Liu Xiangjie,Huang Hongqing.New method of load frequency control in electricity market environment[J].Power System Technology,2003,32(17):64-69(in Chinese).
[3]  刘向杰,闫冬梅,展晓磊.微粒群优化负荷频率控制{J].电力系统及其自动化学报,2010,22(3):15-22.Liu Xiangjie,Yan Dongmei.Zhan Xiaolei.Load frequency control using particle swarm optimization[J].Proceedings of the CSU-EPSA,2010,22(3):15-22(in Chinese).
[4]  李德毅,杜鹃.不确定性人工智能[M].北京:国防工业出版社,2005.Li Deyi,Du Juan.Artificial Intelligence with uncertainty[M].Beijing:National Defence Industry Press,2005(in Chinese).
[5]  李志明,卢曦,孙勇,等.同步发电机云模型励磁控制器设计[J].电力系统及其自动化学报,2010,22(3):91-95.Li Zhiming,Lu Xi,Sun Yong,et al.Design of cloud model excitation controller for synchronous generator[J].Proceedings of the CSU-EPSA,2010,22(3):91-95(in Chinese).
[6]  李如琦,苏浩益,凌武能,等.基于云模型和灰关联投影法的烟气脱硫技术优选[J].中国电机工程学报,2012,32(23):21-26.Li Ruqi,Xu Haoyi,Ling Wuneng,et al.Optimization of flue gas desulphurization technologies based on cloud model and grey relation projection method[J].Proceedings of the CSEE,2012,32(23):21-26(in Chinese).
[7]  刘自发,庞铖铖,王泽黎,等.基于云理论和元胞自动机理论的城市配电网空间负荷预测[J].中国电机工程学报,2013,33(10):98-105.Liu Zifa,Pang chengcheng,Wang Zeli,et al.Spatial load forecasting for distribution network based on cloud theory and cellular automata[J].Proceedings of the CSEE,2013,33(10):98-105(in Chinese).
[8]  杨薛明,苑津莎,王剑锋,等.基于云理论的配电网空间负荷预测方法研究[J].中国电机工程学报,2006,26(6):30-26.Yang Xueming,Yuan Jinsha,Wang Jianfeng,et al.A new spatial forecasting method for distribution network based on cloud theory[J].Proceedings of the CSEE,2006,26(6):30-26(in Chinese).
[9]  张秀玲,赵文保,张少宇,等.基于改进T-S 云推理网络的板形模式识别方法[J].中南大学学报:自然科学版,2013,44(2):580-586.Zhang Xiuling,Zhao Wenbao,Zhang Shaoyu,et al.Method of flatness pattern recognition based on improved T-S cloud inference network[J].Journal of Central South University:Science and Technology,2013,44(2):580-586(in Chinese).
[10]  Li D Y,Shi X M,Wand P,et al.A soft inference mechanism based on cloud models[C]//The 1st International Workshop on Logic Programming and Soft Computing.Bonn,Gemany:1996:38-62.
[11]  张飞舟,范跃祖,沈程智,等.利用云模型实现智能控制倒立摆[J].控制理论与应用,2000,17(4):519-523.Zhang Feizhou,Fan Yuezu,Shen Chengzhi,et al.Intelligent control inverted pendulum with cloud models[J].Control Theory and Applications,2000,17(4):519-523(in Chinese).
[12]  李朝安,范明天.电力系统负荷频率的前馈控制[J].中国电机工程学报,1981,1(1):1-12.Li Chaoan,Fan Mingtian.Power system load frequency feed-forward control[J].Proceedings of the CSEE,1981,1(1):1-12(in Chinese).
[13]  Prabha Kundur.Power system stability and control[M].北京:中国电力出版社,2001:389-406.Prabha Kundur.Power system stability and control[M].Beijing:China Electric Power Press,2010:389-406(in English).
[14]  高翔,严正.现代电网频率控制应用技术[M].北京:中国电力出版社,2010:103-108.Gao Xiang,Yan Zheng.Modern power grid frequency control technology and its application[M].Beijing:China Electric Power Press,2010:103-108(in Chinese).
[15]  刘向杰,孔小兵.电力工业复杂系统模型预测控制:现状与发展[J].中国电机工程学报,2013,33(5):79-85.Liu Xiangjie,Kong Xiaobing.Present situation and prospect of model control application in complex power industrial pross[J].Proceedings of the CSEE,2013,33(5):79-85(in Chinese).
[16]  孔莲芳,罗天祥,吴捷.基于状态收缩约束的模型预测负荷频率控制[J].中国电机工程学报,2007,27(7):18-27.Kong Lianfang,Luo Tianxiang,Wu Jie.State contractive constraint-based model predictive load frequency control[J].Proceedings of the CSEE,2007,27(7):18-27(in Chinese).
[17]  姚伟,文劲宇,孙海顺,等.考虑通信延迟的分散网络化预测负荷频率控制[J].中国电机工程学报,2013,33(1):84-92.Yao Wei,Wen Jinyu,Sun Haishun,et al.Decentralized networked predictive load frequency control considering communication delays[J].Proceedings of the CSEE,2013,33(1):84-92(in Chinese).
[18]  孟祥萍,薛昌飞,张化光.多区域互联电力系统的PI滑模负荷频率控制[J].中国电机工程学报,2001,21(3):6-11.Meng Xiangping,Xue Changfei,Zhang Huaguang.PI sliding mode load frequency control of multi-area power systems[J].Proceedings of the CSEE,2001,21(3):6-11(in Chinese).
[19]  Sheikh M R I,Mondol N.Application of self-tuning fpic to agc for load frequency control in wind farm interconnected large power system[C]//International Conference on Informatics,Electronics & Vision(ICIEV).2012:812-816.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133