Microgrid comprehensive energy management-oriented hierarchical multi-objective optimization method

Abstract

The invention relates to a microgrid comprehensive energy management-oriented hierarchical multi-objective optimization method. The method comprises the steps of firstly performing data collection, and defining an objective function and a constraint condition during model building; obtaining an optimal individual through evaluation after initialization, performing assimilation not including load data for relatively poor individuals through sorting, and accelerating convergence; performing two-time variation which adopts isolated crossover variation for load scheduling and stored energy and power scheduling, performing population evaluation and sorting after the scheduling is finished, and selecting out a representative load scheduling optimal individual; only performing load data assimilation for other individuals through the load scheduling optimal individual, performing one-time variation crossover, performing population evaluation and sorting again, and selecting out a representative optimal individual; checking whether iteration is finished or not, and if not, circulating the process; and if yes, outputting a scheduling scheme for reference. Various energy management demands can be met.

Description

technical field [0001] The invention relates to the technical field of energy management of micro-grids, in particular to a hierarchical multi-objective optimization method for comprehensive energy management of micro-grids. Background technique [0002] The operation of distributed energy in the form of micro-grid can improve its utilization rate. The construction of micro-grid can be used to alleviate the problem of power consumption in islands and remote areas, and can ensure the stability of key load power supply when the grid fails. Usually, there are multiple power sources in the microgrid. Through coordinated scheduling, the utilization rate of renewable energy can be improved, the impact of the microgrid on the power grid can be reduced, and even participate in the scheduling of the power grid to relieve the pressure on the power grid. Today's energy management of microgrids is usually optimized around economic dispatch, environmental costs, or load-side resources, w...

AI Technical Summary

Problems solved by technology

However, if the goals of each layer are related, it is possible that although the goal of a certain layer is optimal, it will affect other goals, and ultimately the global optimization ability cannot be guaranteed.

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