电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2015年
11期
132-138
,共7页
陆子刚%卫志农%孙国强%孙永辉
陸子剛%衛誌農%孫國彊%孫永輝
륙자강%위지농%손국강%손영휘
相关量测%时延%动态状态更新%动态状态估计%电力系统
相關量測%時延%動態狀態更新%動態狀態估計%電力繫統
상관량측%시연%동태상태경신%동태상태고계%전력계통
correlated measurements%time delay%dynamic state updating%dynamic state estimation%power system
精确的量测系统模型是电力系统动态状态估计准确性的重要保证。利用修正量测协方差矩阵可更准确地表示实际量测系统的特性,在基于修正协方差的量测模型基础上提出了处理量测时延问题的电力系统动态状态更新法。利用当前动态估计值反推得到时延量测断面下的状态估计值,通过估计值间的协方差及交叉协方差矩阵计算,结合当前量测值重新滤波得到状态更新值。IEEE 14节点算例仿真结果表明,负荷波动较小时采用该方法对于提高动态估计精度具有一定效果;负荷波动较大时采用基于状态反推简化模型的动态状态更新法,能够有效降低动态状态估计值误差,提高估计精度。
精確的量測繫統模型是電力繫統動態狀態估計準確性的重要保證。利用脩正量測協方差矩陣可更準確地錶示實際量測繫統的特性,在基于脩正協方差的量測模型基礎上提齣瞭處理量測時延問題的電力繫統動態狀態更新法。利用噹前動態估計值反推得到時延量測斷麵下的狀態估計值,通過估計值間的協方差及交扠協方差矩陣計算,結閤噹前量測值重新濾波得到狀態更新值。IEEE 14節點算例倣真結果錶明,負荷波動較小時採用該方法對于提高動態估計精度具有一定效果;負荷波動較大時採用基于狀態反推簡化模型的動態狀態更新法,能夠有效降低動態狀態估計值誤差,提高估計精度。
정학적량측계통모형시전력계통동태상태고계준학성적중요보증。이용수정량측협방차구진가경준학지표시실제량측계통적특성,재기우수정협방차적량측모형기출상제출료처리량측시연문제적전력계통동태상태경신법。이용당전동태고계치반추득도시연량측단면하적상태고계치,통과고계치간적협방차급교차협방차구진계산,결합당전량측치중신려파득도상태경신치。IEEE 14절점산례방진결과표명,부하파동교소시채용해방법대우제고동태고계정도구유일정효과;부하파동교대시채용기우상태반추간화모형적동태상태경신법,능구유효강저동태상태고계치오차,제고고계정도。
Accurate modeling of the measurement system is an important guarantee for the precision of power system dynamic state estimation (DSE).The modified measurement covariance matrix is used to represent the characteristics of the actual measuring system more accurately.In the model based on the modified measurement covariance matrix,the method of power system dynamic state updating used to handle the time-delay measuring problem is proposed.The current dynamic state estimate is used to obtain the state estimate reversedly under the delayed measurement cross section.Through the calculation of covariance and cross-covariance matrix among the estimates,the current state is updated by filtering based on the current measurement.Simulation results on the IEEE 14-bus system show that the dynamic state updating method is of definite effect in increasing the precision of DSE during small load fluctuation,while,the errors of updated state estimate are reduced obviously by using the dynamic state update method based on state-reversed simplified model during large load fluctuation with contribution to the precision of DSE.The simulation results have verified the effectiveness of the proposed algorithm. This work is supported by National Natural Science Foundation of China (No. 5 1277052, No. 5 1 107032, No.61 104045).