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A microgrid energy optimization control method based on a mixed integer nonlinear model

A non-linear model and energy optimization technology, applied in computing models, biological models, data processing applications, etc., can solve problems such as difficulty in solving models, failure to obtain optimal solutions, etc., to improve control accuracy and robustness, The effect of superior performance

Inactive Publication Date: 2019-01-18
ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

However, the microgrid energy optimization model is based on a complex mixed integer nonlinear model, which is difficult to solve, and conventional methods cannot obtain the optimal solution.

Method used

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  • A microgrid energy optimization control method based on a mixed integer nonlinear model
  • A microgrid energy optimization control method based on a mixed integer nonlinear model
  • A microgrid energy optimization control method based on a mixed integer nonlinear model

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Embodiment Construction

[0024] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0025] The micro-grid energy management implemented in the present invention adopts a household energy management system, including fuel cells, batteries, air-conditioning equipment and switch control equipment, and the air-conditioning equipment and switch control equipment are connected to the power grid mainly composed of fuel cells, batteries, and power grids , the fuel cell is also connected to the thermal energy equipment, the fuel cell provides thermal energy for the thermal energy equipment, the natural gas is respectively connected to the fuel cell and the thermal energy equipment, and the natural gas provides natural gas energy for the fuel cell, so that the fuel cell converts the natural gas energy into thermal energy and electrical energy, and the natural gas is thermal energy The equipment provides natural gas energy so th...

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Abstract

The invention discloses a microgrid energy optimization control method based on a mixed integer nonlinear model. The energy model of micro-grid is established, and the fusion algorithm is used to solve the problem iteratively. At first, particles are randomly generated according to that differential evolution algorithm to form a particle swarm, the particle is passed to the sequential quadratic programming algorithm as the initial value, the microgrid energy model is solved, The new solution obtained by sequential quadratic programming algorithm is returned to differential evolution algorithm,and all the updated particles of the micro-grid energy model are updated by using differential evolution algorithm. After iterative calculation, the particles with the minimum value are taken as theoptimal variable parameters to control the work of the family energy management system. The invention solves the shortcomings of the optimization method in the power grid energy optimization, can effectively solve the energy control parameters, and improves the control accuracy and robustness of the micro-grid energy management.

Description

technical field [0001] The invention relates to a control and processing method of a household microgrid, in particular to a microgrid energy optimization control method based on a mixed integer nonlinear model, which belongs to the field of power grid energy management. Background technique [0002] In recent decades, the energy crisis and environmental pollution have drawn great attention to energy utilization efficiency and energy conservation. The microgrid energy optimization method can realize the rational distribution of energy to achieve the purpose of saving energy, reducing costs, and helping the safe operation of the power grid. However, the microgrid energy optimization model is based on a complex mixed integer nonlinear model, which is difficult to solve, and conventional methods cannot obtain the optimal solution. Contents of the invention [0003] Aiming at the difficult optimization problems in the existing micro-grid energy management and the existing opt...

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Application Information

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IPC IPC(8): G06N3/00G06Q10/04G06Q10/06G06Q50/06
CPCG06N3/006G06Q10/04G06Q10/06315G06Q50/06
Inventor 黄言态
Owner ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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