Energy-management-based micro-grid system dispatching method in grid connection state

Abstract

The invention relates to an energy-management-based micro-grid system dispatching method in a grid connection state. The micro-grid system grid-connection running cost aims to be made minimum, a corresponding dispatching parameter is obtained by minimizing the running cost of a grid connection running target function, and therefore the electricity demands of all electric equipment in a micro-grid system are met. The built target function involves various cost influence factors such as equipment depreciation expense, fuel expense, maintenance expense, start and stop expense, environmental-protection expense, the equipment running cost and the power purchasing and selling cost, a piecewise linearization processing method is applied to covert a nonlinear problem into a linear problem, decision variables 0,1 are introduced to covert secondary constraint into primary constraint, and hierarchical solving is carried out according to time. A dispatching model is finer, so that prediction is more accurate, applicability is high, the high solving speed can be obtained on the basis of ensuring high solving precision, and the method can be applicable to large micro-grid optimization dispatching.

Description

technical field [0001] The invention relates to a micro-grid energy scheduling optimization method, relates to the technical field of micro-grid energy management, and is suitable for day-ahead economic scheduling of micro-grid energy management. Background technique [0002] As the energy crisis intensifies and environmental pollution becomes more and more serious, microgrid, as a new energy network supply and management technology, has received more and more attention. With the continuous development and improvement of microgrid engineering, microgrid energy management system has become the focus of microgrid research. [0003] The microgrid energy management system is an intelligent control system for microgrids, which can optimize the power distribution of distributed power sources and make the system operate economically and safely. As the core part of microgrid energy management, the design of its scheduling optimization model plays a vital role in the effect of micro...

AI Technical Summary

Problems solved by technology

As the scale increases, smart algorithms tend not to converge easily and are slower to solve

At the same time, the current model is generally only applicable to a small number of microgrid examples, and the applicability of the model needs to be improved

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