Method of energy scheduling optimization based on dynamic adaptive fuzzy logic controller

Abstract

The invention discloses a method of micro grid energy scheduling based on dynamic adaptive fuzzy logic. The method includes the steps of taking one-day prediction information of a micro grid as a training set for generating an optimal fuzzy controller; taking the obtained prediction information as an analog input, and with the dual optimization goal of minimizing the operation cost of the micro grid and minimizing the power fluctuation of a public grid, performing dynamic adaptive design on two aspects, including the shape of a membership function and a fuzzy inference rule, of a fuzzy interference system through a new heuristic optimization algorithm; and further using the obtained optimal fuzzy controller for real-time control of the micro-grid energy management. For one thing, the adaptive optimal controller considers the running information for a period of time and adjusts its own fuzzy inference system according to different environments so that the optimal scheduling of the global time can be realized; and for another, since the fuzzy logic inference has good fault tolerance towards its own imprecise information, the method can effectively avoid the interference of the uncertainty caused by a prediction error.

Description

technical field [0001] The invention relates to the field of microgrid operation control and energy scheduling, in particular to an energy scheduling optimization method based on a dynamic self-adaptive fuzzy logic controller. Background technique [0002] In recent years, the global energy demand has been growing steadily. The limited reserves of fossil energy and its negative impact on the environment have led many countries to solve this energy production crisis by developing renewable energy and adding a large number of distributed power generation devices, such as wind turbines. , solar photovoltaic panels, etc. This leads to a high penetration rate of renewable energy sources (RES) in the existing power system. Renewable energy generally has the characteristics of natural intermittence and randomness, and it is difficult to directly arrange production plans for it, which has an adverse impact on the balance of the power grid. One of the effective measures to solve th...

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Problems solved by technology

In order to make these applications meet the real-time requirements, the system model or mathematical processing has to be simplified. Although the simplified strategy can meet the real-time requirements, the resulting operation arrangement cannot coordinate the comprehensive benefits of a period of time, so it cannot be optimized. result

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