Residential electricity load decomposition method based on maximum a posteriori probability

In order to improvement problems that the computational complexity and the accuracy is not high in load decomposition, a load decomposition method based on the maximum a posteriori probability is proposed, the electrical equipment steady-state current is chosen as load characteristic, according to the Bayesian formula, all the electric equipment’s’ electricity information value can be acquired at a time exactly. Experimental results show that the method can identify the running state of each power equipment, and can get a higher decomposition accuracy. In addition, the data used can be collected by the common smart meters that can be directly got from the current market, reducing the cost of hardware input.