基于自适应遗传算法的负荷分解

Load Decomposition Based on Adaptive Genetic Algorithm

有效的家庭用电监测对于降低家庭用电消耗、提高能源利用、实现能量管理具有十分重要的意义。基于此,提出一种基于自适应遗传优化的非侵入式负荷分解算法。实验结果表明,该算法能够有效分解家用设备的负荷状态,且收敛速度较快,准确度较高。

Effective household electricity monitoring is of great significance for reducing household electricity consumption,improving energy utilization,and achieving energy management.Based on this,a non-invasive load decomposition algorithm based on adaptive genetic optimization is proposed.The experimental results show that this algorithm can effectively decompose the load state of household devices,and has fast convergence speed and high accuracy.