基于Eurostag的大区互联电网若干稳定问题研究
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摘要
本文在2005年某区域网的BPA-Eurostag潮流数据转换的基础上,完成了BPA-Eurostag稳定及不对称故障计算数据的转换,充分理解了BPA和Eurostag的使用方法和模型,对两种软件模型及参数的转换在IEEE-5节点系统上进行了详细的验证。仿真结果表明:BPA-Eurostag模型及参数转换合理而准确。
利用BPA及实际电网数据对大区互联电网进行了仿真研究,分析了大区域电网互联后引起系统暂态稳定水平下降的原因,得出了受端系统转动惯量增大对互联系统暂态稳定水平的负面影响。
利用Eurostag进行连锁故障仿真,依据电网连锁故障的概率分析方法,按照历史统计规律对各继电保护和自动安全装置进行概率分配,并且建立连锁故障评价指标,应用FCM(Fuzzy C-means)算法对连锁故障样本进行分类及确定评价指标的权重系数,以此来判断随机因素组合对连锁故障的影响程度。
In this paper, a BPA-Eurostag stability and asymmetric fault of data conversion is completed, on the basis of a regional network BPA-Eurostag power flow trend data conversion in 2005. Based on full appreciation of models and methods of both BPA and Eursotag, the results of models and data conversion between the two simulation software are validated in IEEE-5.The simulations of BPA and Eursotag indicate that BPA-Eurostag data conversion is reasonable and exact.
Research on simulating regional power grid interconnected power network with BPA and the actual use of data, analyzing the reason which made the transient stability level of interconnected power network decreased, and testifying that the negative influence of the moment of inertia of receiving sub-system increasing.
The last part is simulating cascading failures with Eurostag. It based on the probability method of cascading failures, according to the statistic of history dispatching probability for each protection relay and automatic safety device, therefore, establishing three evaluation indexes to evaluate cascading failures. Finally, adopting FCM (Fuzzy C-means) algorithm to evaluate the samples of cascading failures and determine the weight coefficient of each index, in order to estimate the degree of random factors combination influences cascading failures.
利用BPA及实际电网数据对大区互联电网进行了仿真研究,分析了大区域电网互联后引起系统暂态稳定水平下降的原因,得出了受端系统转动惯量增大对互联系统暂态稳定水平的负面影响。
利用Eurostag进行连锁故障仿真,依据电网连锁故障的概率分析方法,按照历史统计规律对各继电保护和自动安全装置进行概率分配,并且建立连锁故障评价指标,应用FCM(Fuzzy C-means)算法对连锁故障样本进行分类及确定评价指标的权重系数,以此来判断随机因素组合对连锁故障的影响程度。
In this paper, a BPA-Eurostag stability and asymmetric fault of data conversion is completed, on the basis of a regional network BPA-Eurostag power flow trend data conversion in 2005. Based on full appreciation of models and methods of both BPA and Eursotag, the results of models and data conversion between the two simulation software are validated in IEEE-5.The simulations of BPA and Eursotag indicate that BPA-Eurostag data conversion is reasonable and exact.
Research on simulating regional power grid interconnected power network with BPA and the actual use of data, analyzing the reason which made the transient stability level of interconnected power network decreased, and testifying that the negative influence of the moment of inertia of receiving sub-system increasing.
The last part is simulating cascading failures with Eurostag. It based on the probability method of cascading failures, according to the statistic of history dispatching probability for each protection relay and automatic safety device, therefore, establishing three evaluation indexes to evaluate cascading failures. Finally, adopting FCM (Fuzzy C-means) algorithm to evaluate the samples of cascading failures and determine the weight coefficient of each index, in order to estimate the degree of random factors combination influences cascading failures.
引文
[1]东北、华北电网互联工程系统专题设计
[2]陈德树,大电网安全保护技术研究[J].电网技术.2004, 28(9):14-17, 27
[3]徐伟华,艾芊,周玉光,等.莫斯科5·25大停电对中国电力市场发展的启示[J].华东电力,2005,33(7):45-48.
[4]唐斯庆,张弥,李建设,等.海南电网“9?26”大面积停电事故的分析与总结[J].电力系统自动化,2006,30(1):1-7, 16
[5]郭剑波,姚国灿,徐征雄,等.我国未来大区电网互联可能出现或应该注意的若干技术问题[J].电网技术,1998,22(6):63-67
[6]吴政球,陈辉华,唐外文,潘力强等.以单机等面积稳定判据分析多机系统暂态稳定性[J].中国电机工程学报.2003, 23(4):48-52
[7]高询,吴涛.电网交流互联对系统暂态稳定性的影响[J].电网技术, 2000, 24(6):21-26.
[8]余贻鑫,李鹏.大区电网弱互联对互联系统阻尼和动态稳定性的影响[J].电机工程学报,2005, 25(11):6-11.
[9]别朝红,王锡凡.复杂电力系统一类连锁反应事故可靠性评估初探[J].电力系统自动化,2001,25(15):25-28, 42.
[10]别朝红,王锡凡.复杂电力系统一类反应事故可靠性评估模型和算法[J].电力系统自动化,2001,25(10):30-34.
[11]Bie Z H, Wang X F. Evaluation of power system cascading outages[C]. International Conference on power System Technology, Kunming, China, 2002, 1:415-419.
[12]别朝红.电力系统的灾难性事故和可靠性综合评估的研究[D].西安交通大学博士学位论文,1998。
[13]Carreras B A , Newman D E, Dobson I, et al. Initial evidence for self-organized criticality in electric power system blackouts[C].Hawaii International Conference on System Science, Hawaii ,2000.
[14] Carreras B A,Newman D E, Dobson I, et al. Evidence for self-organized criticality in electric power system blackouts[C].Hawaii International Conference onSystem Science, Hawaii ,2001.
[15] Chen J, Thorp J S, Parashar M. Analysis of electric power system disturbance data[C]. Hawaii International Conference on System Science, Hawaii ,2001.
[16]于群,郭剑波,中国电网停电事故统计与自组织临界性特征[J].电力系统自动化,2005,30(2):16-21
[17]Zhao L Park K, Lai Y C. Attack vulnerability of scale-free networks due to cascading breakdown [J]. Physical Review E. 2004, 70(3):035101
[18]Crucitti P, Latora V, Marchiori M. Model for cascading failures in complex networks [J]. Physical Review E. 2004, 69(4):045104-1
[19] Albert R, Albert I, Nakarado G L. Structural vulnerability of the North American power grid [J]. Physical Review E. 2004, 69(2):025103
[20] Latora V, Marchiori M. Vulnerability and protection of infrastructure networks [J]. Review E. 2004, 71(1):015103
[21] Xu J, Wang X F. Cascading failures in scale-free coupled map lattices[C]. IEEE International Symposium on Circuits and Systems, Kobe, Japan, 2005, 4:3395-3398
[22]邓慧琼.电网连锁故障预测分析方法及其应用研究:[博士学位论文].北京:华北电力大学,2007年
[23]倪以信,陈寿孙,张宝霖.动态电力系统的理论和分析.北京:清华大学出版社,2005,185-188
[24]李颖.基于Eurostag的电力系统若干稳定问题研究:[硕士学位论文].北京:华北电力大学,2004年
[25]蔡晓玲.基于Eurostag的电力系统后稳定分析:[硕士学位论文].北京:华北电力大学,2003年
[26]中国版BPA暂态稳定程序说明手册(基于Windows9x/NT/2000平台2.1版)北京:中国电力科学研究院,2000年7月
[27]王宗义,郭志忠.远距离输电断面暂态稳定极限的影响因素分析[J].中国电力,2006,39(8):29-3 2.
[28]吴政球,荆勇(Wu Zhengqiu,Jin Yong).基于时域仿真的电力系统暂态稳定灵敏度分析(Transient stability sensitivity analysis based on time domain simulation)[J].中国电机工程学报(Proceedings of the CSEE),2001,21(6):19-24.
[29]电力部电力科学研究院.全国联网和更高一级交流电压等级研究[R]. 1998
[30]徐征雄.东北与华北交流互联后电网内部暂态稳定水平变化分析[J].中国电力,2003, 36(2):28-31.
[31]朱方,赵红光,刘增煌,寇惠珍.大区电网互联对电力系统动态稳定性的影响[J].电机工程学报,2007, 27(1):1-7.
[32]PRABHA KUNDUR.电力系统稳定与控制[M].北京:中国电力出版社,2002.
[33]丁明,李生虎,吴红斌.电力系统概率充分性和概率稳定性的综合评估[J].中国电机工程学报,2003, 23(3): 20-25.
[34]崔凯,房大中等.电力系统暂态稳定性概率评估方法研究[J].电网技术.2005, 29(1):44-49.
[35]Ni Ming, McAllen James D, Vittal Vijay et al.Online risk-based security assessment [J]. IEEE Trans on Power Systems, 2003, 18(I):258-265.
[36] Yu X B, Singh C. integrated Power Vulnerability Analysis Considering Protection Failures[C]. IEEE Power Engineering Society General Meeting, Toronto, Canada, 2003,2: 706-711.
[37] Wang H, Thorp J S. Optimal locations for protection system enhancement: a simulation of cascading outages [J]. IEEE Transactions on power systems, 2001, 16(4): 528-533.
[38]邓慧琼,艾欣,张东英等.基于不确定多属性决策理论的电网连锁故障模式搜索方法[J].电网技术,2005,29(13):50-55.
[39]杨宇.多指标综合评价中赋权方法评价[J].统计与决策,2006,(7):17-18.
[40]张媛祥.一种稳健的聚类方法[J].数学的实践与认识,2003,33(8): 8-10.
[41]边肇祺,张学工.模式识别[M].北京:清华大学出版社,2000.
[42]王成山,曹旌,陈光远.基于聚类分析的电力系统暂态稳定故障筛选[J].电网技术,2005,29(15):18-22.
[43]李杰,高新波,焦李成.一种基于修正划分模糊度的聚类有效性函数[J].系统工程与电子技术,2005,27(4): 723-726.
[44]李培强,李欣然,唐外文.模糊C均值聚类在电力负荷建模中的应用研究[J].湖南大学学报(自然科学版),2006,33(3):41-45.
[45]付川,余贻鑫,王东涛.电力系统暂态稳定概率[J].电力系统自动化,2006,30(1):24-28.
[2]陈德树,大电网安全保护技术研究[J].电网技术.2004, 28(9):14-17, 27
[3]徐伟华,艾芊,周玉光,等.莫斯科5·25大停电对中国电力市场发展的启示[J].华东电力,2005,33(7):45-48.
[4]唐斯庆,张弥,李建设,等.海南电网“9?26”大面积停电事故的分析与总结[J].电力系统自动化,2006,30(1):1-7, 16
[5]郭剑波,姚国灿,徐征雄,等.我国未来大区电网互联可能出现或应该注意的若干技术问题[J].电网技术,1998,22(6):63-67
[6]吴政球,陈辉华,唐外文,潘力强等.以单机等面积稳定判据分析多机系统暂态稳定性[J].中国电机工程学报.2003, 23(4):48-52
[7]高询,吴涛.电网交流互联对系统暂态稳定性的影响[J].电网技术, 2000, 24(6):21-26.
[8]余贻鑫,李鹏.大区电网弱互联对互联系统阻尼和动态稳定性的影响[J].电机工程学报,2005, 25(11):6-11.
[9]别朝红,王锡凡.复杂电力系统一类连锁反应事故可靠性评估初探[J].电力系统自动化,2001,25(15):25-28, 42.
[10]别朝红,王锡凡.复杂电力系统一类反应事故可靠性评估模型和算法[J].电力系统自动化,2001,25(10):30-34.
[11]Bie Z H, Wang X F. Evaluation of power system cascading outages[C]. International Conference on power System Technology, Kunming, China, 2002, 1:415-419.
[12]别朝红.电力系统的灾难性事故和可靠性综合评估的研究[D].西安交通大学博士学位论文,1998。
[13]Carreras B A , Newman D E, Dobson I, et al. Initial evidence for self-organized criticality in electric power system blackouts[C].Hawaii International Conference on System Science, Hawaii ,2000.
[14] Carreras B A,Newman D E, Dobson I, et al. Evidence for self-organized criticality in electric power system blackouts[C].Hawaii International Conference onSystem Science, Hawaii ,2001.
[15] Chen J, Thorp J S, Parashar M. Analysis of electric power system disturbance data[C]. Hawaii International Conference on System Science, Hawaii ,2001.
[16]于群,郭剑波,中国电网停电事故统计与自组织临界性特征[J].电力系统自动化,2005,30(2):16-21
[17]Zhao L Park K, Lai Y C. Attack vulnerability of scale-free networks due to cascading breakdown [J]. Physical Review E. 2004, 70(3):035101
[18]Crucitti P, Latora V, Marchiori M. Model for cascading failures in complex networks [J]. Physical Review E. 2004, 69(4):045104-1
[19] Albert R, Albert I, Nakarado G L. Structural vulnerability of the North American power grid [J]. Physical Review E. 2004, 69(2):025103
[20] Latora V, Marchiori M. Vulnerability and protection of infrastructure networks [J]. Review E. 2004, 71(1):015103
[21] Xu J, Wang X F. Cascading failures in scale-free coupled map lattices[C]. IEEE International Symposium on Circuits and Systems, Kobe, Japan, 2005, 4:3395-3398
[22]邓慧琼.电网连锁故障预测分析方法及其应用研究:[博士学位论文].北京:华北电力大学,2007年
[23]倪以信,陈寿孙,张宝霖.动态电力系统的理论和分析.北京:清华大学出版社,2005,185-188
[24]李颖.基于Eurostag的电力系统若干稳定问题研究:[硕士学位论文].北京:华北电力大学,2004年
[25]蔡晓玲.基于Eurostag的电力系统后稳定分析:[硕士学位论文].北京:华北电力大学,2003年
[26]中国版BPA暂态稳定程序说明手册(基于Windows9x/NT/2000平台2.1版)北京:中国电力科学研究院,2000年7月
[27]王宗义,郭志忠.远距离输电断面暂态稳定极限的影响因素分析[J].中国电力,2006,39(8):29-3 2.
[28]吴政球,荆勇(Wu Zhengqiu,Jin Yong).基于时域仿真的电力系统暂态稳定灵敏度分析(Transient stability sensitivity analysis based on time domain simulation)[J].中国电机工程学报(Proceedings of the CSEE),2001,21(6):19-24.
[29]电力部电力科学研究院.全国联网和更高一级交流电压等级研究[R]. 1998
[30]徐征雄.东北与华北交流互联后电网内部暂态稳定水平变化分析[J].中国电力,2003, 36(2):28-31.
[31]朱方,赵红光,刘增煌,寇惠珍.大区电网互联对电力系统动态稳定性的影响[J].电机工程学报,2007, 27(1):1-7.
[32]PRABHA KUNDUR.电力系统稳定与控制[M].北京:中国电力出版社,2002.
[33]丁明,李生虎,吴红斌.电力系统概率充分性和概率稳定性的综合评估[J].中国电机工程学报,2003, 23(3): 20-25.
[34]崔凯,房大中等.电力系统暂态稳定性概率评估方法研究[J].电网技术.2005, 29(1):44-49.
[35]Ni Ming, McAllen James D, Vittal Vijay et al.Online risk-based security assessment [J]. IEEE Trans on Power Systems, 2003, 18(I):258-265.
[36] Yu X B, Singh C. integrated Power Vulnerability Analysis Considering Protection Failures[C]. IEEE Power Engineering Society General Meeting, Toronto, Canada, 2003,2: 706-711.
[37] Wang H, Thorp J S. Optimal locations for protection system enhancement: a simulation of cascading outages [J]. IEEE Transactions on power systems, 2001, 16(4): 528-533.
[38]邓慧琼,艾欣,张东英等.基于不确定多属性决策理论的电网连锁故障模式搜索方法[J].电网技术,2005,29(13):50-55.
[39]杨宇.多指标综合评价中赋权方法评价[J].统计与决策,2006,(7):17-18.
[40]张媛祥.一种稳健的聚类方法[J].数学的实践与认识,2003,33(8): 8-10.
[41]边肇祺,张学工.模式识别[M].北京:清华大学出版社,2000.
[42]王成山,曹旌,陈光远.基于聚类分析的电力系统暂态稳定故障筛选[J].电网技术,2005,29(15):18-22.
[43]李杰,高新波,焦李成.一种基于修正划分模糊度的聚类有效性函数[J].系统工程与电子技术,2005,27(4): 723-726.
[44]李培强,李欣然,唐外文.模糊C均值聚类在电力负荷建模中的应用研究[J].湖南大学学报(自然科学版),2006,33(3):41-45.
[45]付川,余贻鑫,王东涛.电力系统暂态稳定概率[J].电力系统自动化,2006,30(1):24-28.