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Household electrical load optimization scheduling method, system and equipment and readable storage medium

A household power consumption and load optimization technology, applied in general control systems, control/regulation systems, instruments, etc., can solve problems such as low precision, achieve fast optimization speed, avoid peak power consumption, and increase comfort

Pending Publication Date: 2021-05-28
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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Problems solved by technology

[0004] Aiming at the technical problems existing in the prior art, the present invention provides a method, system, equipment and readable storage medium for optimal dispatching of household electric loads, so as to solve the problem of difficulty in operation and low precision of the existing household electric load dispatching process. low technical issues

Method used

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  • Household electrical load optimization scheduling method, system and equipment and readable storage medium
  • Household electrical load optimization scheduling method, system and equipment and readable storage medium
  • Household electrical load optimization scheduling method, system and equipment and readable storage medium

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Embodiment

[0078] as attached figure 1 As shown, this embodiment provides a method for optimal scheduling of household electric loads, including the following steps:

[0079] Step 1. According to the different working characteristics of power loads and the user's power consumption habits, all household power loads are divided into rigid loads and flexible loads; among them, flexible loads include interruptible loads and non-interruptible loads; interruptible loads are Able to complete work tasks within a specified period of time, and be able to shut down working household electricity loads at any time; uninterruptible loads are household electricity loads that keep working continuously during working hours and stop after completing work tasks.

[0080] Step 2. Determine the control scheme, that is, determine the objective function, control variables and constraints;

[0081] The control variable is the operation status of each interruptible load in each allowable operating time period; ...

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Abstract

The invention provides a household electrical load optimization scheduling method, system and equipment and a readable storage medium. The method comprises the steps: dividing all household electrical loads into rigid loads and flexible loads according to different working characteristics of the electrical loads; determining a target function, a control variable and a constraint condition; establishing a household load electricity utilization model; solving the household load power utilization model by using an improved adaptive weight multi-target particle swarm algorithm to obtain a household power utilization load optimization scheduling result; and scheduling and adjusting the household electrical load. According to the invention, optimization is carried out by comprehensively considering the household electricity utilization cost and the electricity utilization power peak-valley difference; a multi-target particle swarm optimization algorithm with an improved weight strategy is adopted to consider the fitness of the whole particles, so that the problem of multi-target optimization is effectively solved, the optimization speed is relatively high, and falling into a local extreme point is avoided; and reasonable power utilization scheduling between the power consumption of the user and the power utilization cost is realized, peak power utilization is avoided, and the power utilization comfort of the user is improved.

Description

technical field [0001] The invention belongs to the technical field of smart grids, and in particular relates to a method, system, equipment and readable storage medium for optimal dispatching of household electric loads. Background technique [0002] With the rapid development of smart grid technology, the management of household electricity load has gradually become an extension of smart grid on the user side, and the optimization of household electricity consumption has gradually become a hot spot in the industry; but most of the research results are how to realize household electricity consumption information. However, there are very few research results on the user-side electricity cost, the peak fluctuation of household electricity load, and the unreasonable power dispatching arrangement. [0003] At present, different residential electricity demand models and algorithm optimizations have been continuously proposed to promote the research on user-side electricity optim...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 闫秀英常娟党苗苗范凯兴李佳多
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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