Power capacity allocation method of grid-connected microgrid

Abstract

The invention discloses a power capacity allocation method of a grid-connected microgrid. The method comprises the steps of (A) building a wind turbine model, a photovoltaic cell model and a storage battery model in the grid-connected microgrid; (B) building a capacity design optimization objective function model, wherein a capacity design optimization objective function comprises annual average composite cost C<ACT> and a self-equilibrium coefficient SSR; (C) solving the capacity design optimization objective function by using a stochastic simulation-based NSGA-II algorithm to obtain a pareto frontier; and (D) selecting a preferred plan meeting the design requirements from the pareto frontier by using a utility theory. According to the power capacity allocation method, the economy and the self-powered capability are taken into account while the wind and light output uncertainty is considered, and the optimum numbers of wind turbines, photovoltaic cells and storage batteries can be determined according to the design requirements.

Description

technical field [0001] The invention belongs to the field of micro-grids, and in particular relates to a method for configuring power supply capacity of grid-connected micro-grids. Background technique [0002] Microgrid refers to a small power generation and distribution system that is composed of distributed generation (Distributed Generation, DG), energy storage devices, energy conversion devices, load monitoring, protection devices, etc., and can realize self-control, protection and management. Existing studies have shown that connecting various distributed power sources in the form of microgrids is an effective way to exert their effectiveness. [0003] The microgrid can effectively integrate various distributed power sources, energy storage units and loads. Through the comprehensive utilization of different output characteristics DG and energy storage systems, it overcomes the problems caused by the randomness and volatility of new energy power generation and improves ...

AI Technical Summary

Problems solved by technology

[0005] The existing grid-connected microgrid capacity planning and design methods mostly only consider economical efficiency, and do not take the self-supply capability of the system as one of the design goals (the self-supply capability determines the reliability of the power supply after the system is transferred to the island operation mode), and The design model often does not fully consider the uncertainty of wind and solar output, so the configuration scheme obtained from this type of model is prone to insufficient system capacity when it is actually put into use, and cannot meet the design requirements of both economical efficiency and self-power supply capacity.

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