CAJ | 학술논문

为解决复杂电网大数据背景下单一算法难以满足状态估计要求的问题，提出一种电力系统状态估计多算法融合系统。基于数据融合思想，将加权最小二乘法、快速分解法、量测状态变换法与Sigmoid函数法相互融合实现电网状态估计，支持串行融合模式和并行融合模式。实验结果表明，融合算法使得估计结果保留了各自算法的优点，避免了单一算法的缺点，提高了状态估计的精度和效率。
위해결복잡전망대수거배경하단일산법난이만족상태고계요구적문제，제출일충전력계통상태고계다산법융합계통。기우수거융합사상，장가권최소이승법、쾌속분해법、량측상태변환법여Sigmoid함수법상호융합실현전망상태고계，지지천행융합모식화병행융합모식。실험결과표명，융합산법사득고계결과보류료각자산법적우점，피면료단일산법적결점，제고료상태고계적정도화효솔。
To deal with the problem that a single algorithm fails to meet the requirements of the state estimation with big data, an algorithm fusion system was proposed.The proposed system was based on the idea of data fusion,including the method of weighted least square algorithm,the fast decoupled method,the state estimation algorithm based on measurement transformation and the Sigmoid function.The fusion algorithm can be run on the serial fusion model and parallel fusion model.Experimental re-sults show that the proposed method has the advantages of each algorithm,avoids the shortcomings of single algorithm and im-proves the accuracy and efficiency of the state estimation.