Microgrid energy storage capacity configuration method based on improved fruit fly algorithm

Abstract

The invention provides a microgrid energy storage capacity configuration method based on an improved fruit fly algorithm, and the method mainly comprises the steps: firstly selecting a super capacitorand a storage battery through analysis according to different capacity requirements of designed energy storage equipment, and forming mixed energy storage equipment; secondly, establishing a corresponding multi-objective function by taking minimization of energy storage cost, renewable energy output fluctuation and storage battery charging and discharging power fluctuation as objectives, settingconstraint conditions, and establishing a microgrid energy storage optimization model; then, adopting an improved fruit fly optimization algorithm, considering the adaptive step length, the search speed and precision, utilizing a group average position correction position updating strategy to prevent falling into local optimum, and selecting a fuzzy model recognition method to select an optimal compromise solution; and finally, determining an annual energy storage capacity configuration scheme by adopting a kernel density estimation method according to the difference of energy storage requirements in different seasons. According to the invention, the charging and discharging times of the storage battery are reduced, and higher economic benefits are obtained while three objectives are takeninto consideration.

Description

technical field [0001] The invention relates to the technical field of micro-grid energy storage capacity configuration, in particular to a micro-grid energy storage capacity configuration method based on an improved fruit fly algorithm. Background technique [0002] Wind energy and solar energy are one of the fastest growing forms of renewable energy in the past decade and have been incorporated into the main power supply; however, wind energy and solar energy are intermittent and variable in nature. With the improvement of integration, the security of system power distribution and reliability will degrade, and power fluctuations from wind and solar can have a significant impact on the operation and planning of distribution systems. In order to maintain the quality of power supply, existing solutions generally integrate batteries to compensate for fluctuations in renewable energy, but batteries only have great advantages in handling low-frequency power, and excessive charge...

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Problems solved by technology

[0003] The invention aims to overcome the shortcomings of high investment cost and poor fluctuation stabilization effect in the traditional micro-grid energy storage capacity configuration, and proposes a micro-grid energy storage capacity configuration method based on the improved fruit fly algorithm, which better coordinates the energy storage The balance among cost, output fluctuation of renewable energy and fluctuation of battery charging and discharging power

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