基于新型PMU配置的局部配电网状态估计
|
摘要
针对配电网网络结构复杂,点多面广,配电自动化设备无法实现全覆盖,提出了一种基于非线性动力系统的局部配电网状态估计方法。所提出的方法是全局收敛的,并且可以使用PMU提供的稀疏同步相量量测而不受传统状态估计网络可观性的限制。对于电压控制或热极限控制等实际应用,需要有针对性地提高电压幅度或电压相角的精度,在这种情况下,提出了一种增强的状态估计模型,包括电压幅值测量残差约束和电压相角测量残差约束。仿真结果证实了所提方法的有效性。
The distribution network has complex network structure,various types of equipment,and a wide range of operating points,while distribution automation equipment cannot achieve full coverage. This paper proposes a partial state estimation of distribution network method based on a nonlinear dynamical system approach. The proposed method is globally convergent and can use sparse synchronized phasor measurements without the traditional requirement of network observability. For the application of voltage control or thermal limit control,enhancing the accuracy of the voltage amplitude or the voltage phase angle is required. Under this situation,we propose an enhanced formulation including the voltage amplitude measurement residual constraints and voltage phase angle measurement residual constraints. The calculations cases show the effectiveness of the proposed method.
The distribution network has complex network structure,various types of equipment,and a wide range of operating points,while distribution automation equipment cannot achieve full coverage. This paper proposes a partial state estimation of distribution network method based on a nonlinear dynamical system approach. The proposed method is globally convergent and can use sparse synchronized phasor measurements without the traditional requirement of network observability. For the application of voltage control or thermal limit control,enhancing the accuracy of the voltage amplitude or the voltage phase angle is required. Under this situation,we propose an enhanced formulation including the voltage amplitude measurement residual constraints and voltage phase angle measurement residual constraints. The calculations cases show the effectiveness of the proposed method.
引文
[1]PRIMADIANTO A,LU C.A review on distribution system state estimation[J].IEEE Transactions on Pow er Systems,2017,32(5):3875-3883.
[2]PIRES R C.COSTA A S,MILI L.Iteratively reweighted leastsquares state estimation through Givens Rotations[J].IEEETransactions on Pow er Systems,1999,14(4):1499-1507.
[3]G?L M,ABUR A.A hybrid state estimator for systems with limited number of PM Us[J].IEEE Transactions on Pow er Systems,2015,30(3):1511-1517.
[4]方兵,黄良毅,顾志东,等.基于全网架相量测量的抗差状态估计算法[J].南方电网技术,2013,7(3):104-108.FANG Bing,HUANG Liangyi,GU Zhidong,et al.A w holegrid phasor measurement based algorithm for robust state estimation[J].Southern Pow er System Technology,2013,7(3):104-108.
[5]秦晓辉,毕天姝,杨奇逊.计及PMU的混合非线性状态估计新方法[J].电力系统自动化,2007,31(4):28-32.QIN Xiaohun,BI Tianshu,YANG Qixun.A new method for hybrid nonlinear state estimation considering PM U[J].Automation of Electric Pow er Systems,2007,31(4):28-32.
[6]REE J D L,CENTENO V,THORP J S,et al.Synchronized phasor measurement applications in pow er systems[J].IEEETransactions on Smart Grid,2010,1(1):20-27.
[7]SILVA R S,LABURU F M,de ALMEIDA M C.On the use ofμPMU for state estimation in distribution systems[C]//2017IEEE Pow er and Energy Society General M eeting,July 16-20,Chicago,IL,2017,USA.New York:IEEE,2017:1-5.
[8]HAUGHTON D A,HEYDT G T.A linear state estimation formulation for smart distribution systems[J].IEEE Transactions on Pow er Systems,2013,28(2):1187-1195.
[9]COSTA A S,ALBUQUERQUE A,BEZ D.An estimation fusion method for including phasor measurements into pow er system real-time modeling[J].IEEE Transactions on Pow er Systems,2013,28(2):1910-1920.
[10]LIU J,TANG J,PONCI F,et al.Trade-offs in PMU deployment for state estimation in active distribution grids[J].IEEETransactions on Smart Grid,2012,3(2):915-924.
[11]丁军策,蔡泽祥,李建设,等.基于混合量测的电力系统动态状态估计[J].南方电网技术,2009,3(5):94-98.DING Junce,CAI Zexiang,LI Jianshe,et al.Mixed measurement based dynamic state estimation of electric power systems[J].Southern Power System Technology,2009,3(5):94-98.
[12]LIN W M,TENG J H.State estimation for distribution systems w ith zero-injection constraints[J].IEEE Transactions on Pow er Systems,1996,11(1):518-524.
[13]CHIANG H D,JIANG C Y.Feasible region of optimal power flow:characterization and applications[J].IEEE Transactions on Pow er Systems,2018,33(1):236-244.
[14]鲍威,蒋雪冬,陈利跃,等.考虑观测冗余度最大的0-1线性规划电力系统PMU最优配置[J].电网技术,2014,38(8):2051-2056.BAO Wei,JIANG Xuedong,CHEN Liyue,et al.A 0-1 linear programming approach to optimal phasor measurement units placement[J].Pow er System Technology,2014,38(8):2051-2056.
[15]MANOUSAKIS N M,KORRES G N.A weighted least squares algorithm for optimal PM U placement[J].IEEE Transactions on Pow er Systems,2013,28(3):3499-3500.
[16]BALDWIN T L,MILI L,BOISEN M B,et al.Power system observability w ith minimal phasor measurement placement[J].IEEE Transactions on Pow er Systems,1993,8(2):707-715.
[2]PIRES R C.COSTA A S,MILI L.Iteratively reweighted leastsquares state estimation through Givens Rotations[J].IEEETransactions on Pow er Systems,1999,14(4):1499-1507.
[3]G?L M,ABUR A.A hybrid state estimator for systems with limited number of PM Us[J].IEEE Transactions on Pow er Systems,2015,30(3):1511-1517.
[4]方兵,黄良毅,顾志东,等.基于全网架相量测量的抗差状态估计算法[J].南方电网技术,2013,7(3):104-108.FANG Bing,HUANG Liangyi,GU Zhidong,et al.A w holegrid phasor measurement based algorithm for robust state estimation[J].Southern Pow er System Technology,2013,7(3):104-108.
[5]秦晓辉,毕天姝,杨奇逊.计及PMU的混合非线性状态估计新方法[J].电力系统自动化,2007,31(4):28-32.QIN Xiaohun,BI Tianshu,YANG Qixun.A new method for hybrid nonlinear state estimation considering PM U[J].Automation of Electric Pow er Systems,2007,31(4):28-32.
[6]REE J D L,CENTENO V,THORP J S,et al.Synchronized phasor measurement applications in pow er systems[J].IEEETransactions on Smart Grid,2010,1(1):20-27.
[7]SILVA R S,LABURU F M,de ALMEIDA M C.On the use ofμPMU for state estimation in distribution systems[C]//2017IEEE Pow er and Energy Society General M eeting,July 16-20,Chicago,IL,2017,USA.New York:IEEE,2017:1-5.
[8]HAUGHTON D A,HEYDT G T.A linear state estimation formulation for smart distribution systems[J].IEEE Transactions on Pow er Systems,2013,28(2):1187-1195.
[9]COSTA A S,ALBUQUERQUE A,BEZ D.An estimation fusion method for including phasor measurements into pow er system real-time modeling[J].IEEE Transactions on Pow er Systems,2013,28(2):1910-1920.
[10]LIU J,TANG J,PONCI F,et al.Trade-offs in PMU deployment for state estimation in active distribution grids[J].IEEETransactions on Smart Grid,2012,3(2):915-924.
[11]丁军策,蔡泽祥,李建设,等.基于混合量测的电力系统动态状态估计[J].南方电网技术,2009,3(5):94-98.DING Junce,CAI Zexiang,LI Jianshe,et al.Mixed measurement based dynamic state estimation of electric power systems[J].Southern Power System Technology,2009,3(5):94-98.
[12]LIN W M,TENG J H.State estimation for distribution systems w ith zero-injection constraints[J].IEEE Transactions on Pow er Systems,1996,11(1):518-524.
[13]CHIANG H D,JIANG C Y.Feasible region of optimal power flow:characterization and applications[J].IEEE Transactions on Pow er Systems,2018,33(1):236-244.
[14]鲍威,蒋雪冬,陈利跃,等.考虑观测冗余度最大的0-1线性规划电力系统PMU最优配置[J].电网技术,2014,38(8):2051-2056.BAO Wei,JIANG Xuedong,CHEN Liyue,et al.A 0-1 linear programming approach to optimal phasor measurement units placement[J].Pow er System Technology,2014,38(8):2051-2056.
[15]MANOUSAKIS N M,KORRES G N.A weighted least squares algorithm for optimal PM U placement[J].IEEE Transactions on Pow er Systems,2013,28(3):3499-3500.
[16]BALDWIN T L,MILI L,BOISEN M B,et al.Power system observability w ith minimal phasor measurement placement[J].IEEE Transactions on Pow er Systems,1993,8(2):707-715.