Power system parameter optimization method based on chaos hunter optimization

The invention relates to a power system parameter optimization method based on chaos hunter optimization, which comprises the following steps: calculating and generating random variable parameters, finding out an optimal power value Wmax according to power Wi corresponding to variable parameter values, updating the random parameters through a chaos mechanism, and optimizing the optimal power value Wmax according to the optimal power value Wmax. Generating a domain matrix which is in an R radius range and is formed by variable parameter values by adopting a dimension learning hunting method DLH, namely, a domain matrix formed by a new variable parameter set, and updating a generated new parameter; and if the Wnew is greater than the Wmax, assigning the value of the Wnew to the Wmax, completing iteration and outputting the optimal power value Wmax of the DSPRO system. According to the method, the real-time performance and accuracy requirements of MPPT on DSPRO system control are greatly improved, and compared w