A hierarchical multi-objective optimization method for integrated energy management of microgrid

Abstract

The invention relates to a hierarchical multi-objective optimization method for comprehensive energy management of micro-grids. Firstly, data collection is performed, and then the objective function and constraint conditions are specified when the model is established; after initialization, an optimal individual is obtained through evaluation, and the optimal individual is obtained through sorting. Poor individuals perform assimilation that does not include load data to accelerate convergence; then perform two mutations, the mutation adopts isolated crossover mutation, this process is load scheduling, energy storage, and power supply scheduling, and population evaluation and sorting are performed after the scheduling is completed , select a representative optimal individual for load scheduling; then use the optimal individual for load scheduling to assimilate the load data of other individuals only, and then perform a mutation crossover, then evaluate and sort the population, and select a representative optimal individual. Then check whether the iteration is completed, if not, recycle; if completed, output a scheduling plan for reference. The invention can meet the needs of various aspects of energy management.

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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