Nonintrusive load disaggregation is a kind of method for recognizing the state of appliances by using the current and voltage in the power bus. However, the obtained results are usually not coincided with the actual results, because of the fluctuation of current and voltage. To promote the performance of disaggregation, the effective features are built by the harmonic of current and the feature of real power. And particularly, the measurement function which is utilized to combine the harmonic of current and the feature of real power together is introduced into the fitness function inherent in the particle swarm optimization (PSO) algorithm, thus finding the optimal results of energy disaggregation using PSO algorithm. Finally, experiments are performed on the hardware equipment developed by our Labs. The results demonstrate the good performance for energy disaggregation online.%非侵入式电力负荷分解是根据入口处电流、电压信号进行用电负荷辨识的一种方法。然而，由于电流、电压波动等因素干扰，单一特征所得到的分解结果通常会与实际用电设备投切结果不一致。为了可靠地提升在线非侵入式电力负荷分解能力，构建了基于谐波的电流特征表达并结合功率两个特征作为设备投切状态辨识的目标函数。同时，引入了正态分布的度量函数，将其融合并作为粒子群(Particle Swarm Optimization, PSO)算法的适应度函数，以此寻找最佳的电力负荷分解结果。最终，通过实验室开发的非侵入式负荷分解装置进行实验。实验结果表明所述方法能获得更好的在线电力负荷分解能力。
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