Robust optimization scheduling method oriented to household comprehensive energy management system

A technology of comprehensive energy and management system, applied in the field of intelligent electricity consumption, can solve the problems of uncertain parameters of household intelligent electricity consumption system, and achieve the effect of promoting local consumption and load shaving and valley filling

Inactive Publication Date: 2018-02-23
TIANJIN UNIV +1
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  • Abstract
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Problems solved by technology

[0003] In order to solve the problem of uncertain parameters in the household intelligent power consumption system, the present invention provides a robust optimization scheduling method for the household intelligent power consumption system

Method used

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  • Robust optimization scheduling method oriented to household comprehensive energy management system
  • Robust optimization scheduling method oriented to household comprehensive energy management system
  • Robust optimization scheduling method oriented to household comprehensive energy management system

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Embodiment Construction

[0032] The present invention will be described below in conjunction with the accompanying drawings and embodiments.

[0033] 101: Build an optimal scheduling model for household smart power consumption systems;

[0034] A typical home smart power consumption system mainly includes power grids, distributed energy sources, energy storage devices, various smart electrical devices and system control centers. According to different working characteristics, a variety of intelligent electrical devices in the home can be divided into temperature-controlled dispatching loads, interruptible dispatching loads, non-interruptible dispatching loads, and non-dispatching loads. The optimal scheduling model takes the minimization of the user's net electricity cost as the objective function, which is expressed by the following formula:

[0035]

[0036]

[0037] N is the total number of steps in the optimal scheduling phase, Δt is the duration of a single scheduling phase, δ is the set o...

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Abstract

The invention relates to a robust optimization scheduling method oriented to a household comprehensive energy management system. The method comprises the steps of constructing an electrical equipmentbasic model of the household comprehensive energy management system; establishing an interval model for an uncertain parameter; establishing a scheduling model of the household comprehensive energy management system; performing robust optimization scheduling, wherein the method of performing robust optimization scheduling includes the following steps of step I, introducing interval number expression forms of the outdoor temperature of the uncertain parameter and the usage amount of hot water into a heat load equipment model to calculate an uncertain parameter-containing comfort constraint condition, step II, introducing a robust adjustment parameter, and converting the uncertain parameter-containing comfort constraint condition into an adjustable robust equation, and step III, processing the adjustable robust equation by use of a strong duality principle, and converting the adjustable robust equation into an easily-solvable linear robust equation; and obtaining an optimization scheduling result.

Description

technical field [0001] The invention belongs to the technical field of intelligent power utilization. Background technique [0002] With the development of demand-side management, the electricity price mechanism faced by residential users has become increasingly flexible and diverse. The home smart electricity system can actively respond to flexible electricity price mechanisms including time-of-use electricity prices, real-time electricity prices, and peak electricity prices, helping users manage household electrical equipment, optimize household load scheduling, and achieve the purpose of economical, environmentally friendly, and comfortable electricity consumption. At the same time, the system can carry out local consumption of household distributed energy and peak-shaving and valley-filling of household loads through the coordinated scheduling of household smart electrical equipment. At present, the home intelligent power consumption system is facing a variety of uncert...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 王继东方凯杰丁晓栾开宁杨斌范洁
Owner TIANJIN UNIV
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