CAJ | 학술논문

状态估计能高效地估计出电力系统最佳的运行状态。测试并比较了基于原对偶内点法的加权最小绝对值估计与基于牛顿法求解的二次-线性准则、加权最小二乘估计的估计精度与计算效率，由测试结果可知，加权最小二乘估计虽有较高的计算效率，但估计精度偏差，而加权最小绝对值估计有着较高的估计精度，但较低的计算效率也限制了其工程应用。
상태고계능고효지고계출전력계통최가적운행상태。측시병비교료기우원대우내점법적가권최소절대치고계여기우우돈법구해적이차-선성준칙、가권최소이승고계적고계정도여계산효솔，유측시결과가지，가권최소이승고계수유교고적계산효솔，단고계정도편차，이가권최소절대치고계유착교고적고계정도，단교저적계산효솔야한제료기공정응용。
State estimation can efficiently estimate the optimum operation of power systems. Several simulated tests are carried out in order to compare three state estimators-WLAV (Weighted Least Absolute Value) which solved by PDIPM (Primal-Dual Interior Point Method)、QL(Quartic linear)、WLS(Weighted Least Square, WLS) both on estimated accuracy and computational efficiency. According to the simulated results, WLS has a high computational efficiency, but with a poor estimated accuracy. However, the estimated accuracy of WLAV outperforms the other two estimators but meanwhile its low computational efficiency restricts its application in the industry.