Resident household energy consumption optimization method and device

An optimization method and technology for household power consumption, applied in general control systems, system integration technology, climate sustainability, etc., can solve problems such as falling into local extreme value convergence speed and complex household energy consumption optimization problems.

Active Publication Date: 2020-09-18
ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO +4
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Problems solved by technology

In terms of model solution, at present, genetic algorithm, particle swarm algorithm and other solution methods are generally used to solve this constrained optimization model. Uncertainty, multi-objective and other characteristics, these algorithms have also exposed some inherent defects, such as easy to fall into local extremum and slow convergence

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  • Resident household energy consumption optimization method and device
  • Resident household energy consumption optimization method and device
  • Resident household energy consumption optimization method and device

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Embodiment Construction

[0086] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0087] A method for optimizing household energy consumption, the innovation of which is: firstly, a household energy consumption optimization model must be established, specifically including: building a household electricity load model, and building a household electricity consumption optimization model.

[0088] 1. Building a household electricity load model

[0089] According to the characteristics of household loads and user behavior habits, household electricity loads are divided into non-transferable type (UTL), transferable type (TL) during power consumption period, short-term transferable type (STL) during power consumption period, and adjustable load power Type (APL) four types of loads, construct household electricity load models respectively;

[0090]Divide the time of a day into n equal parts, and the power consumption model of the tra...

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Abstract

The invention relates to a resident household energy consumption optimization method and device, and the method introduces a random fractal search algorithm into the optimization solution of a model,and improves the first updating and second updating processes in the algorithm. In the first diffusion process, the uncertainty of diffusion is increased by introducing a roulette, and the global search capability of the algorithm is enhanced; in the second updating process, a self-adaptive mutation operator in the differential evolution algorithm is introduced, parameters of a mutation operator formula can change in a self-adaptive mode according to two individuals generating the differential vector, and the problem that the algorithm falls into local optimum in the later iteration period canbe solved.

Description

technical field [0001] The invention belongs to the field of comprehensive energy metering, and relates to a method and device for optimizing residential energy consumption. Background technique [0002] With the development of smart grid, power users such as households will participate in the optimal operation and safe power supply of the grid as a dispatchable unit. Among them, in order to alleviate the peak power supply pressure of the power grid, the goal of high energy efficiency can be achieved by improving the electricity consumption behavior of households. In addition, with the advancement of time-of-use electricity prices, in terms of household electricity consumption, it is necessary for household electricity consumption to be able to make corresponding adjustments to electricity prices in a timely manner. Residential household energy optimization system can actively respond to the flexible electricity price mechanism, help users manage household electrical equipm...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042Y04S20/242
Inventor 李野何泽昊李刚杨光刘超孔祥玉董得龙窦健郄爽陈娟乔亚男季浩翟术然孙虹卢静雅刘浩宇张兆杰
Owner ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO
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