Multi-objective optimization scheduling method for multi-supply power system based on analytic hierarchy process

Abstract

The invention relates to a multi-objective optimization scheduling method for a multi-supply power system based on an analytic hierarchy process, and belongs to the technical field of power system automation. The method comprises the steps: solving an established multi-objective optimization scheduling model of the multi-supply power system by adopting an NSGA-II multi-objective genetic algorithmto obtain a Pareto optimal solution set; normalizing the obtained target value Pareto optimal solution set by adopting a fuzzy membership function, scoring and sequencing each solution in the solutionset by using an analytic hierarchy process, and selecting an optimal scheduling solution; and obtaining a decision basis for optimal scheduling of the current multi-supply power system based on the optimal scheduling solution. According to the invention, the power system multi-objective optimization scheduling model is established, and the requirements of system economy, renewable energy consumption level, system safety and the like are integrated; the solutions are graded and sorted by adopting an analytic hierarchy process, and an optimal solution is selected. The obtained result gives consideration to subjectivity and objectivity of evaluation, is more reasonable, and facilitates safe, economical and stable operation of a power system and improvement of the new energy consumption level.

Description

technical field [0001] The invention relates to a multi-objective optimal scheduling method for a multi-source electric power system based on an analytic hierarchy process, and belongs to the technical field of electric power system automation. Background technique [0002] With the country's increasing emphasis on environmental protection and the continuous improvement of new energy grid-connected capacity, the power structure of my country's power system is also continuously adjusted. With the improvement of the penetration rate of new energy and the access of pumped storage power stations, combined with the characteristics of each power source, the joint scheduling and optimal operation of comprehensive utilization of the output characteristics, economic characteristics, and time characteristics of each power source have become an inevitable trend in the development of power grids. . However, due to the uncertainty of wind power and photovoltaic primary energy, its outpu...

AI Technical Summary

Problems solved by technology

There are mainly two ideas for solving multi-objective optimization problems, one is to solve the Pareto optimal solution set, and then select one of them as the optimal solution, but there is no uniform standard for the selection of the optimal solution in this method

Another method is to directly convert the multi-objective optimization problem into a single-objective optimization problem. Currently, there are methods such as linear weighting method, main objective method, key objective method, etc., but these methods have no effect on the relationship between sub-objective problems. Considering the system, the importance of sub-objective issues cannot be reasonably explained

Images