Economic scheduling method for micro-grid system

Abstract

The invention relates to an economic scheduling method for a micro-grid system. Based on the minimum operation cost as the control target, target functions and corresponding constraint conditions in three operation states of grid-connected operation, isolated-grid long-term stable operation, and isolated-grid short-term operation are respectively built, the built target functions cover device operation costs such as the device depreciation cost, the fuel cost, the maintenance cost, the start-stop cost, and the environmental protection cost etc. and various comprehensive cost influence factors such as the power purchase and selling cost, the load-shedding cost, and the line loss cost etc. via modeling of various devices in the system, non-linear problems are converted to linear problems by employing a sectional linearization processing method, decision variables such as 0 and 1 are introduced to convert quadratic constraint in the constraint to one-time constraint, and the solution is obtained in a time stratified manner. According to the method, various optional scheduling modes are provided, the applicability is high, the accuracy of calculating results is high, the calculating speed is fast, and the method can be applicable to large-scale micro-grid optimization scheduling.

Description

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AI Technical Summary

Benefits of technology

This technology helps manage energy efficiently by categorizing each type of electricity into two groups based on their importance for businesses or users during times when they use them (the first group) while minimally affecting other areas that may have more impacts than others. It simplifies the models used throughout this process because all parts of the system work together well with one another's goals.

Problems solved by technology

This patented describes how it's important that micro grids use their own resources efficiently while also being able to manage them effectively without causing negative impact on other nearby systems or people due to excessive usage levels caused by overloading certain parts of the grid with heavy loads during peak hours. To address these issues, there should be developed a mathematical scheduler called LSS (Least Squares Supporting) that optimizes resource allocation based upon different factors like load level and economic conditions.

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