中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2011年
22期
32-39
,共8页
吴云亮%孙元章%徐箭%彭晓涛%杨军
吳雲亮%孫元章%徐箭%彭曉濤%楊軍
오운량%손원장%서전%팽효도%양군
电力系统%储能装置%最小容量%饱和反馈控制%稳定域%收敛速度
電力繫統%儲能裝置%最小容量%飽和反饋控製%穩定域%收斂速度
전력계통%저능장치%최소용량%포화반궤공제%은정역%수렴속도
power systems%energy storage device (ESD)%minimum capacity%saturation feedback control%stability region%convergence rate
采用饱和控制理论求解保持系统稳定的储能装置(energy storage device,ESD)最小容量,为电力系统储能装置的配置提供依据。从稳定域及总体收敛速度2方面分析了储能容量对含储能装置的电力系统稳定性的影响,提出了一种储能装置最小容量配置方法。构建了以储能装置容量最小为目标函数,以饱和系统稳定域和总体收敛速度指标为约束条件的优化模型。通过矩阵Schur补性质将模型求解转化为标准的线性矩阵不等式(linear matrix inequalities,LMI)问题,利用内点法进行求解,可得储能装置的最小容量。该方法求解最小储能容量简便易行,不需进行大量的时域仿真。WSCC3机9节点系统算例验证了该方法的有效性和灵活性。
採用飽和控製理論求解保持繫統穩定的儲能裝置(energy storage device,ESD)最小容量,為電力繫統儲能裝置的配置提供依據。從穩定域及總體收斂速度2方麵分析瞭儲能容量對含儲能裝置的電力繫統穩定性的影響,提齣瞭一種儲能裝置最小容量配置方法。構建瞭以儲能裝置容量最小為目標函數,以飽和繫統穩定域和總體收斂速度指標為約束條件的優化模型。通過矩陣Schur補性質將模型求解轉化為標準的線性矩陣不等式(linear matrix inequalities,LMI)問題,利用內點法進行求解,可得儲能裝置的最小容量。該方法求解最小儲能容量簡便易行,不需進行大量的時域倣真。WSCC3機9節點繫統算例驗證瞭該方法的有效性和靈活性。
채용포화공제이론구해보지계통은정적저능장치(energy storage device,ESD)최소용량,위전력계통저능장치적배치제공의거。종은정역급총체수렴속도2방면분석료저능용량대함저능장치적전력계통은정성적영향,제출료일충저능장치최소용량배치방법。구건료이저능장치용량최소위목표함수,이포화계통은정역화총체수렴속도지표위약속조건적우화모형。통과구진Schur보성질장모형구해전화위표준적선성구진불등식(linear matrix inequalities,LMI)문제,이용내점법진행구해,가득저능장치적최소용량。해방법구해최소저능용량간편역행,불수진행대량적시역방진。WSCC3궤9절점계통산례험증료해방법적유효성화령활성。
The saturation control theory was adopted to obtain the minimum capacity of energy storage devices (ESD) in order to provide the basis for ESD allocation in power system. The impact of capacity of ESD on the stability of power system with ESD was analyzed from the perspective of stability region and overall convergence rate. A methodology was proposed to determine the minimum capacity of ESD. This approach produced an optimization model in which the capacity was taken as the objective function, both the stability region and overall convergence rate indices were taken as the constraints. With the Schur law, all the constraints can be transformed into the standard linear matrix inequalities (LMI), so the interior point method can be used to solve this optimization problem. The proposed method is simple and convenient to use, doesn't require much time domain simulation. Its application to WSCC 9 buses system is presented to demonstrate its usefulness and flexibility.