基于直觉模糊决策的机组励磁系统动态性能评价
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摘要
为利用多个运行指标实现对机组励磁系统动态性能全面、客观地评估,提出了基于直觉模糊决策的励磁系统动态性能综合评估方法。评估过程中,主要选取了机组励磁输出响应滞后时间、励磁电压上升速度、励磁系统暂态增益或动态增益、稳态增益等作为评估指标,并给出了指标计算方法。所提评估方法采用直觉模糊集确定励磁系统各指标的权重,采用改进逼近理想点法计算励磁系统动态性能综合指标。最后,分别采用仿真算例和某地区多台机组励磁系统的实际运行数据对所提综合评估方法进行了验证,结果表明所提基于直觉模糊决策的机组励磁系统动态性能评估方法是有效和可行的。
To indicate excitation system dynamic performance comprehensively and objectively, an excitation system comprehensive evaluation method based on intuitionistic fuzzy sets was presented. Evaluation indexs such as the conventional unit excitation output response lag time, the excitation voltage rise speed, the excitation system transient gain or dynamic gain, the static gain were mainly used, and the calculation method of each evaluation indexis were presented. In the evaluation method, the intuitionistic fuzzy sets strategy was used to determine the index weight of excitation system and the improved technique for order preference by similarity to ideal solution(TOPSIS) was used to calculate the comprehensive dynamic performance of excitation system. The presented comprehensive evaluation method is verified by simulation tests and actual operation data of excitation system of multiple generator units respectively, and the results show that the performances of excitation systems of generator units is effective and feasible by using the proposed evaluation method.
To indicate excitation system dynamic performance comprehensively and objectively, an excitation system comprehensive evaluation method based on intuitionistic fuzzy sets was presented. Evaluation indexs such as the conventional unit excitation output response lag time, the excitation voltage rise speed, the excitation system transient gain or dynamic gain, the static gain were mainly used, and the calculation method of each evaluation indexis were presented. In the evaluation method, the intuitionistic fuzzy sets strategy was used to determine the index weight of excitation system and the improved technique for order preference by similarity to ideal solution(TOPSIS) was used to calculate the comprehensive dynamic performance of excitation system. The presented comprehensive evaluation method is verified by simulation tests and actual operation data of excitation system of multiple generator units respectively, and the results show that the performances of excitation systems of generator units is effective and feasible by using the proposed evaluation method.
引文
[1]毛承雄,何金平,王丹,等.全控器件励磁系统的多变量反馈线性化控制[J].中国电机工程学报,2013,33(22):53-60.Mao Chengxiong,He Jinping,Wang Dan,et al.Multivariable feedback linearization scheme for new excitation systems based on full controlled devices[J].Proceedings of the CSEE,2013,33(22):53-60(in Chinese).
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[16]Zeshui Xu.Intuitionistic fuzzy multi attribute decision making an interactive method[J].IEEE Transactions on Fuzzy Systems,2012,20(3):514-525.
[17]赵辉,刘鲁源,王红君,等.规则自适应模糊控制在同步发电机励磁系统中的应用[J].电网技术,2004,28(1):27-29.Zhao Hui,Liu Luyuan,Wang Hongjun,et al.Application of rule adaptive fuzzy control in synchronous generator exciting system[J].Power System Technology,2004,28(1):27-29(in Chinese).
[18]胡元潮,阮玲,阮江军,等.基于改进逼近理想点法的变电站智能化改造评估[J].电网技术,2012,36(10):42-48.Hu Yuanchao,Ruan Ling,Ruan Jiangjun,et al.Evaluation on intelligent renovation of substations based on improved TOPSIS[J].Power System Technology,2012,36(10):42-48(in Chinese).
[19]中国国家标准化管理委员会.GB/T7409.3-2007同步电机励磁系统大、中型同步发电机励磁系统技术要求[S].中国国家标准化管理委员会,2007.Standardization Administration of the People’s Republic of China.GB/T7409.3-2007 Excitation system for synchronous electrical machine-technical requirements of excitation system for large and medium synchronous generators[S].Standardization Administration of the People’s Republic of China,2007(in Chinese).
[20]国家能源局.DL/T 1167-2012同步发电机励磁系统建模导则[S].国家能源局,2012.National Energy Administration.DL/T1167-2012 Guide for modeling generator excitation system[S].National Energy Administration,2012(in Chinese).
[2]贺仁睦,沈峰,韩冬,等.发电机励磁系统建模与参数辨识综述[J].电网技术,2007,31(14):62-67.He Renmu,Shen Feng,Han Dong,et al.The study of generator excitation system modeling and parameters estimation[J].Power System Technology,2007,31(14):62-67(in Chinese).
[3]邵伟,徐政.励磁系统参数整定研究[J].中国电机工程学报,2002,22(10):12-17.Shao Wei,Xu Zheng.Study on parameter setting of excitation system[J].Proceedings of the CSEE,2002,22(10):12-17(in Chinese).
[4]方思立,朱方,张桂芳.大型发电机励磁系统电压响应比计算和强行励磁试验方法[J].电力技术,1984(4):1-4.Fang Sili,Zhu Fang,Zhang Guifang.The calculating method of excitation system ceiling voltage and voltage response ratio of large generator[J].Electric Power,1984(4):1-4(in Chinese).
[5]方思立,苏为民.励磁系统动态性能指标有关标准的分析[J].电力设备,2004(7):37-40.Fang Sili,Su Weimi.Analysis of relevant specification for dynamic performance index of excitation system[J].Electrical equipment,2004(7):37-40(in Chinese).
[6]郑邦梁,徐兵.励磁系统参数优化工作[J].中国电机工程学报,2000,20(7):67-71.Zheng Bangliang,Xu Bing.Parameters optimization of excitation system[J].Proceedings of the CSEE,2000,20(7):67-71(in Chinese).
[7]赵红光,刘增煌,朱方,等.华中–川渝联网稳定计算用发电机励磁和调速系统的数学模型及参数[J].电网技术,2007,31(5):50-57.Zhao Hongguang,Liu Zenghuang,Zhu Fang,et al.Research on mathematical models and parameters of generator excitation system and governor system for stability analysis of interconnection of central China power grid with Sichuan-Chongqing power grid[J].Power System Technology,2007,31(5):50-57(in Chinese).
[8]Mahmud M,Pota H R,Hossain M J.Full-order nonlinear observer-based excitation controller design for interconnected power systems via exact linearization approach[J].International Journal of Electrical Power&Energy Systems,2012,41(1):54-62.
[9]Dou Chunxia,Zhang Xingzhong,Guo Shiliang,et al.Delay-independent excitation control for uncertain large power systems using wide-area measurement signals[J].International Journal of Electrical Power&Energy Systems,2010,32(3):210-217.
[10]Jonaitis A,Daunoras.J.Identification of dynamic model of synchronous generator high frequency excitation system[J].Electronical Electronic,2011(1):25-28.
[11]万树平.直觉模糊多属性决策方法综述[J].控制与决策,2010,25(11):1601-1606.Wan Shuping.Survey on intuitionistic fuzzy multi-attribute decision making approach[J].Control and Decision,2010,25(11):1601-1606(in Chinese).
[12]龚艳冰,丁德臣,何建敏.一种基于直觉模糊相似度的多属性决策方法[J].控制与决策,2009,24(9):1398-1401.Gong Yanbing,Ding Dechen,He Jianmin.Multi-attribute decision making method based on similarity measures of intuitionistic fuzzy sets[J].Control and Decision,2009,24(9):1398-1401(in Chinese).
[13]梁睿,王洋洋.基于直觉模糊集的单相接地故障综合选线方法[J].电网技术,2011,35(11):228-234.Liang Rui,Wang Yangyang.An intuitionistic fuzzy set based synthetical approach of faulty line selection for single-phase ground fault[J].Power System Technology,2011,35(11):228-234(in Chinese).
[14]秦华妮,洪智勇,骆达荣.直觉模糊集的结构化分析[J].控制与决策,2015,30(3):561-564.Qin Huani,Hong Zhiyong,Luo Darong.Structured analysis of intuitionistic fuzzy set[J].Control and Decision,2015,30(3):561-564(in Chinese).
[15]Jian-Qiang Wang,Hong-Yu Zhang.Multicriteria decision-making approach based on Atanassov’s intuitionistic fuzzy sets with incomplete certain information on weights[J].IEEE Transactions on Fuzzy Systems,2013,21(3):510-515.
[16]Zeshui Xu.Intuitionistic fuzzy multi attribute decision making an interactive method[J].IEEE Transactions on Fuzzy Systems,2012,20(3):514-525.
[17]赵辉,刘鲁源,王红君,等.规则自适应模糊控制在同步发电机励磁系统中的应用[J].电网技术,2004,28(1):27-29.Zhao Hui,Liu Luyuan,Wang Hongjun,et al.Application of rule adaptive fuzzy control in synchronous generator exciting system[J].Power System Technology,2004,28(1):27-29(in Chinese).
[18]胡元潮,阮玲,阮江军,等.基于改进逼近理想点法的变电站智能化改造评估[J].电网技术,2012,36(10):42-48.Hu Yuanchao,Ruan Ling,Ruan Jiangjun,et al.Evaluation on intelligent renovation of substations based on improved TOPSIS[J].Power System Technology,2012,36(10):42-48(in Chinese).
[19]中国国家标准化管理委员会.GB/T7409.3-2007同步电机励磁系统大、中型同步发电机励磁系统技术要求[S].中国国家标准化管理委员会,2007.Standardization Administration of the People’s Republic of China.GB/T7409.3-2007 Excitation system for synchronous electrical machine-technical requirements of excitation system for large and medium synchronous generators[S].Standardization Administration of the People’s Republic of China,2007(in Chinese).
[20]国家能源局.DL/T 1167-2012同步发电机励磁系统建模导则[S].国家能源局,2012.National Energy Administration.DL/T1167-2012 Guide for modeling generator excitation system[S].National Energy Administration,2012(in Chinese).