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Household equipment energy consumption multi-objective optimization method and system based on IBAS algorithm

A multi-objective optimization and home equipment technology, applied in the field of multi-objective optimization of energy consumption of home equipment, can solve the problem of insufficient search accuracy, achieve the effect of improving time comfort, low PAR value, and meeting user needs

Inactive Publication Date: 2021-12-17
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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Problems solved by technology

Although the search performance of the PSO algorithm depends on the balance between its global exploration and local refinement, it largely depends on the control parameters of the algorithm, and the search accuracy is not high enough

Method used

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  • Household equipment energy consumption multi-objective optimization method and system based on IBAS algorithm
  • Household equipment energy consumption multi-objective optimization method and system based on IBAS algorithm
  • Household equipment energy consumption multi-objective optimization method and system based on IBAS algorithm

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Embodiment Construction

[0100] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0101] In the description of the present invention, it should be understood that the terms "comprising" and "comprising" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or more other features, Presence or addition of wholes, steps, operations, elements, components and / or collections thereof.

[0102] It should also be understood that the terminology used in the descriptio...

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Abstract

The invention discloses a household equipment energy consumption multi-objective optimization method and system based on an IBAS algorithm, and the method comprises the steps: dividing typical household equipment into a schedulable interruptible load, a schedulable non-interruptible load and a non-schedulable load based on a controllable household load classification method, and establishing user demand side load scheduling models respectively; according to the on-off state of the equipment in each time period obtained by the user demand side load scheduling model and corresponding constraint conditions, establishing a multi-target optimization scheduling model of the household energy management system by taking the lowest household user power consumption cost, the minimum load peak-to-average ratio and the maximum user comfort as targets; converting a multi-objective optimization scheduling model of the household energy management system into a single-objective function to serve as an optimization function of the system by adopting a weighted combination and multiplication and division method, and solving the optimization function of the system by adopting an improved IBAS algorithm to obtain equipment power utilization arrangement of the next day of a family for day-ahead optimization scheduling. According to the method, the comfort level of the user is improved, and multi-objective optimization of the household energy consumption equipment is realized.

Description

technical field [0001] The invention belongs to the technical field of home energy management systems, and in particular relates to a multi-objective optimization method and system for energy consumption of home equipment based on an IBAS (Improved Antennae Beetle Search) algorithm. Background technique [0002] In recent years, the scale of my country's electricity consumption has been expanding, especially with the advent of big data and artificial intelligence. The time period for power consumption of various equipment is concentrated, and the peak-to-average ratio (Peak-to-Average Ratio, PAR) of load is increasing. The stability of the traditional power grid is poor and cannot meet Flexible electricity demand. With the increasingly serious environmental problems, the demand for developing clean and efficient energy is becoming more and more urgent. However, the randomness and complexity of renewable energy power generation make the balance between supply and demand promin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/25G06N3/00G06Q10/04G06Q10/06G06F111/04G06F119/08
CPCG06F30/25G06Q10/04G06Q10/06312G06Q10/06313G06N3/006G06F2111/04G06F2119/08
Inventor 于军琪侯雪妍赵安军聂己开王福
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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