Introduction-Online control of power system Real-time Power System Data RTU RTU Substation host computer SCADA DBMS OPF Security analysis State estimation Operator Graphical interface Load flow Short-circuit analysis Stability analysis 点实验蜜 家电
电力系统广域测量与控制四川省重点实验室 Introduction-Online control of power system Real-time Power System Data RTU RTU Substation host computer SCADA Operator DBMS Short-circuit analysis Stability analysis Load flow State estimation Graphical interface OPF & Security analysis
Introduction-power system measurement Control Center 0☐ V P and Q measurements n 2例 电力集镜扩城闲量与拉的坚矗产来变写 家电网
电力系统广域测量与控制四川省重点实验室 Introduction-power system measurement Control Center V V : P and Q measurements n = 2 N - 1 1.5 m / n 3
Introduction 2 B3=62MW=0.62pu 乃2=6MW=0.06pu P23=37MW=0.37pu X13=0.2 X12=0.4 Simplified load flow calculation: X23=0.25 ③ f2=1(8-82)=B2 X12 f=1(02-9,)=B3 X23 Assumi®. 电名，壁行城闲量与拉刻回川省童立实验室 家电
电力系统广域测量与控制四川省重点实验室 Introduction ~ ~ 1 2 3 P MW pu P MW pu P MW pu 37 0.37 6 0.06 62 0.62 2 3 1 2 1 3 0.25 0.4 0.2 2 3 1 2 1 3 X X X Simplified load flow calculation: 0 ( ) 1 ( ) 1 2 2 3 2 3 2 3 2 3 1 2 1 2 1 2 1 2 P x f P x f Assuming:
Introduction-Power System State Estimation State Estimation is the process of assigning a value to an unknown system state variables based on measurements from the system according to some criteria. Functionalities: o Provide an estimate for all metered and unmetered quantities; Filter out small errors due to model approximations and measurement inaccuracies; Detect and identify discordant measurements,the so- called bad data 电力镜广城测量乌控制四川省重点实验蜜 国家电
电力系统广域测量与控制四川省重点实验室 Introduction-Power System State Estimation State Estimation is the process of assigning a value to an unknown system state variables based on measurements from the system according to some criteria. Functionalities: Provide an estimate for all metered and unmetered quantities; Filter out small errors due to model approximations and measurement inaccuracies; Detect and identify discordant measurements, the socalled bad data