Intelligent Dispatching Model of Power System Based on Improved Genetic Algorithm

In order to minimize the power generation cost while satisfying the active power balance, the unit output, voltage level and line safety constraints should also be met. This paper introduces the application status and development trend of genetic algorithm in short-term economic dispatch of power system from two aspects: global convergence of generalized genetic algorithm and high efficiency of cell exclusion genetic algorithm. At the same time, the optimization of power system economic dispatch is also of great significance to environmental protection, energy conservation and cost control. Due to the restriction of valve point effect and embargo zone, the unit economic dispatch problem is non-convex, nonlinear, discontinuous and so on, which makes the optimal solution of this problem very difficult. By analyzing the application of traditional genetic algorithm in active load distribution, it is found that there are some shortcomings in dealing with constraint conditions, scaling fitness function and local search. Aiming at these shortcomings, an improved processing method-direct comparison-proportion method is proposed, which is combined with hill climbing algorithm to form an improved genetic algorithm for solving active load distribution problem, and then experimental calculation is carried out. The calculation results show that using the improved genetic algorithm to solve the active load distribution problem can overcome the shortcomings of the traditional genetic algorithm in constraint treatment, fitness function calibration, local search, etc. to some extent, so as to obtain a high-quality solution.