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Household load scheduling method

A household electricity and load scheduling technology, applied in data processing applications, instruments, resources, etc., can solve problems such as energy saving, emission reduction, peak shaving, peak shaving and valley filling

Inactive Publication Date: 2016-08-24
XIANGTAN UNIV
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Problems solved by technology

With the support of Automatic Demand Response (ADR) technology, HEMS can automatically dispatch electricity loads. However, in HEMS, the types of electrical equipment are inconsistent, and the operating characteristics of various types of electrical equipment and user habits Therefore, how to achieve energy saving and emission reduction, peak load reduction and valley filling without affecting residents' normal living habits is a difficult point

Method used

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Embodiment

[0176]Taking the user environment of an ordinary working-class family as an example, the household includes solar photovoltaic power generation systems, air conditioners, washing machines and other electrical appliances and equipment and electrical parameters and user habits data. Step 1: According to the different working characteristics of the power load and the user's usage habits, the electrical equipment involved in the user's home is divided into six categories: uncontrollable equipment, interruptible equipment, transferable equipment, power generation equipment, charging equipment, and energy storage equipment. , see Table 1-6 for details, numbered 1-14 according to the order listed in the table, see Table 7 for reference to the real-time electricity price data of a certain place.

[0177] Table 1 Uncontrollable equipment parameters

[0178]

[0179] Table 2 Interruptible device parameters

[0180]

[0181] Table 3 Transferable load parameters

[0182]

[018...

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Abstract

The invention discloses a household load scheduling method comprising the following steps of: classifying all loads according to different power utilization characteristics and user habits; determining a control scheme; establishing a load power utilization model; performing solution by using a discrete optimization algorithm based on molecular kinetic theory; obtaining, analyzing and processing a result. The method analyzes the operating characteristics and the use characteristics of various electric appliances at home, establishes a scheduling mathematic model according to classifications, performs multi-target optimization computation by using the discrete optimization algorithm based on molecular kinetic theory on a multivariable coordinative optimization condition, solves a household load scheduling solution set with the lowest power charge, the least influence on user living habits, and the maximum contribution to power stability. The method is beneficial to evaluation of smart home environment power utilization participation demand response potential and can be further used in a series of problems such as household power utilization smart home system load control and the like.

Description

technical field [0001] The invention relates to the field of smart grid electricity demand scheduling, in particular to a household electricity scheduling method. Background technique [0002] The contradiction between social development and environmental protection is becoming more and more prominent, which puts forward higher requirements for the society's ability to save energy and reduce emissions. It has become an inevitable trend that the smart grid integrating modern information technology, communication technology and control technology will gradually replace the traditional power grid. In the smart grid environment, more renewable energy power generation equipment is connected to the grid, and various distributed energy sources work together to contribute to the grid. The distribution network has changed from passive to active, and there will be closer information interaction between the power supply side and the demand side, and the demand side users will gradually...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0631G06Q50/06
Inventor 易灵芝李胜兵
Owner XIANGTAN UNIV
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