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Home Energy Data Optimization Method Based on Particle Swarm Optimization and Bender Decomposition

A particle swarm optimization and data optimization technology, applied in data processing applications, forecasting, instruments, etc., can solve problems such as the lack of smart home energy data optimization methods, and achieve the effects of accelerating convergence speed, reducing costs, and fast home energy distribution

Active Publication Date: 2022-01-04
ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0003] Faced with the increasing energy demand of residents, the existing technology lacks a smart home energy data optimization method that can quickly achieve the best home energy distribution

Method used

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  • Home Energy Data Optimization Method Based on Particle Swarm Optimization and Bender Decomposition
  • Home Energy Data Optimization Method Based on Particle Swarm Optimization and Bender Decomposition
  • Home Energy Data Optimization Method Based on Particle Swarm Optimization and Bender Decomposition

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Embodiment Construction

[0096] The present invention will be further described below in conjunction with the accompanying drawings. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0097] According to the embodiment of the present invention and its implementation process are as follows:

[0098] 1) Establish an optimized mathematical model of the home energy management system. The optimized mathematical model takes the minimum total daily electricity expenditure in the entire home energy management system as the optimization goal and establishes the optimization objective function. At the same time, establish the constraints of the optimization objective function. The constraints include basic electrical appliances Constraints, basic electrical constraints include electric energy supply a...

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Abstract

The invention discloses a family energy data optimization method based on particle swarm optimization and Bender decomposition. Establish an optimized mathematical model of the home energy management system. The optimized mathematical model takes the minimum total daily electricity expenditure in the entire home energy management system as the optimization goal and establishes the optimization objective function, and at the same time establishes the constraints of the optimization objective function; input the parameters required for the optimization mathematical model , using the method of combining particle swarm optimization and Bender decomposition to solve the optimized mathematical model, obtain the optimal variable parameters, perform optimal control on the equipment in the home energy management system according to the optimal variable parameters, and obtain the minimum electricity cost . The method of the invention can effectively solve the mathematical model and obtain a better solution.

Description

technical field [0001] The present invention relates to a family energy data optimization method based on particle swarm optimization (PSO) and Bender decomposition (bender decomposition), specifically adopts an improved particle swarm optimization method and an improved Bender decomposition method, and belongs to family energy management field. Background technique [0002] In recent decades, the energy crisis and environmental pollution have drawn great attention to energy utilization efficiency and energy conservation. At present, this research is mainly focused on the industrial field, because the industrial field has a large energy demand. However, in recent years, with the development of the economy, the demand for electricity in the household field has also increased rapidly. Therefore, research on home energy optimization is an important task for the development of smart grids. [0003] In the face of the increasing energy demand of residents, the existing technol...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 黄言态康敏梁博淼郑玉珍
Owner ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY