Research On Application Of Artificial Algae Algorithm In Power System Economic Dispatch

Economic dispatch is a classic optimization problem in the economic operation of the power system.Solving this problem can alleviate the energy crisis and reduce environmental pressure.Economic dispatch has the characteristics of non-linear,non-convex,high-order,and discontinuous.Problems such as poor solution accuracy and unstable results occurred during the solution.The artificial algae algorithm in the intelligent algorithm has the characteristics of high accuracy of calculation results and strong robustness of output results,which can be used to solve economic scheduling problems.Based on this background,this article applies the improved scheme of artificial algae algorithm to the economic dispatch problem.The specific arrangements are as follows:First,a mathematical model of power system economic dispatch is studied that takes the minimum coal-burning cost of the unit as the objective function,and considers the upper and lower limits of unit output,prohibition interval constraints,network transmission losses and valve point effects.It also analyzed the iterative principles of artificial algae algorithm and differential evolution algorithm,which laid a theoretical foundation for the development of subsequent research work.Secondly,an artificial algae algorithm combined with differential evolution is proposed.Aiming at the problem of poor population diversity in the artificial algae algorithm for solving economic dispatch problems and easy to fall into the local optimal solution,the mutation and crossover operation of the differential evolution algorithm are integrated into the artificial algae algorithm to enhance its population diversity and shorten the running time.At the same time,the selection of the spiral formula and the calculation formula for energy and scale were adjusted to balance the algorithm’s local and global exploration capabilities.In addition,the constraint conditions in the economic dispatch problem are dealt with and the specific steps for combining the algorithm with the economic dispatch problem are given.Tested in various scales of economic dispatch simulation cases,the simulation results show that the artificial algae algorithm combined with differential evolution has high convergence accuracy and strong robustness.Finally,a four-dimensional artificial algae algorithm combined with differential evolution is proposed.The artificial algae algorithm combined with differential evolution has high calculation accuracy and robust results,but it also has the disadvantages of slow convergence and long running time.For this reason,this article also improves the artificial algae algorithm combined with differential evolution in 3 aspects.Introduce chaotic operation in the initialization phase to make the distribution of the initial solution more uniform.In the spiral stage,a four-dimensional dynamic update mechanism is introduced to expand the exploration method of the solution space,and at the same time,its effectiveness is verified in the benchmark function.In the spiral stage,the selection of coefficients is adaptively processed to improve the convergence performance of the algorithm,and its effectiveness is verified in the benchmark function.The four-dimensional artificial algae algorithm combined with differential evolution is applied to economic dispatch problems of various scales.The comparison with the artificial algae algorithm combined with differential evolution verifies the effectiveness of the improved measures in improving calculation accuracy and shortening running time.