Abstract: Aiming at the typical non-convex, nonlinear and combinatorial optimization problem of power system Economic Load Distribution(ELD), a Whale Optimization Optimization Algorithm based on adaptive weight update strategy and stochastic mutation strategy of differential evolution is proposed（ADWOA）. The algorithm first introduces adaptive weights into the whale optimization algorithm to improve the search ability of WOA, so that the algorithm can perform a fine global search in the early stage, and perform an accurate local search in the later stage, which accelerates the iteration of the optimization algorithm. policy, the location will be updated again. Then the optimal position is selected from the updated results to accelerate the convergence of the population and effectively prevent the population from falling into a local optimum. The individual information with better fitness is retained for the next iteration of the whale optimization algorithm faster, which improves the demand for The speed and accuracy of the optimal solution. Finally, several algorithms are tested in the problem of economic load distribution in the power system, and it is verified that the whale optimization algorithm based on adaptive weights can more reasonably allocate the economic load of the power system, and can effectively find feasible solutions and avoid falling into local optimum. , can realize the reasonable distribution of economic load