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Chance constraint-based day-ahead-scheduling method of orderly electricity use of air-source heat pumps

An air source heat pump and scheduling method technology, applied in the field of power system operation and control, can solve problems such as deteriorating distribution network operation, excessive calculation amount, uncertainty, etc.

Active Publication Date: 2018-06-01
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0004] The forecast of distributed generation and load in the distribution network is uncertain. In extreme cases, the dispatch strategy based on the deterministic parameter model may worsen the operation of the distribution network.
The traditional stochastic optimization method based on chance constraints faces two major problems in practical application: (1) it needs an accurate probability density function of random variables, and most of these functions are difficult to obtain in reality; (2) the stochastic optimization model established by this method Basically based on the sampling scene method, the amount of calculation is too large

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  • Chance constraint-based day-ahead-scheduling method of orderly electricity use of air-source heat pumps
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  • Chance constraint-based day-ahead-scheduling method of orderly electricity use of air-source heat pumps

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[0100] A day-ahead scheduling method for air source heat pump orderly power consumption based on chance constraints proposed by the present invention will be further described in detail below in conjunction with specific embodiments.

[0101] A day-ahead scheduling method for orderly power consumption of air source heat pumps based on chance constraints proposed by the present invention includes the following steps:

[0102] 1) Establish a day-ahead scheduling model for air source heat pump orderly power consumption, which is composed of objective functions and constraints; the specific steps are as follows:

[0103] 1-1) establish the objective function of the model;

[0104] According to the historical forecast error data set Φ, including load active power forecast error data set Load reactive power prediction error data set and weather temperature prediction error data set (both are given by the forecasting agency), where k represents the kth error data, and the objec...

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Abstract

The invention provides a chance constraint-based day-ahead-scheduling method of orderly electricity use of air-source heat pumps, and belongs to the technical field of power-system running and control. According to the method, firstly, a day-ahead-scheduling model which is of orderly electricity use of the air-source heat pumps and is formed by an objective function and constraint conditions is established; then the model constraint conditions are transformed, prediction error data of outdoor temperature and load prediction and photovoltaic prediction are collected, chance constraints of indoor temperature running interval and node injection power are constructed, and convex relaxation is utilized to transform the same into deterministic linear constraints; and finally, a convex programming algorithm is applied to solve the model to obtain a next-day scheduling starting-stopping plan of all the air-source heat pumps of a distribution network area. According to the method of the invention, heat volumes of room water-tanks of the heat pumps are utilized, orderly programming and scheduling are carried out on access times of all the air-source heat pumps of a distribution network on atime scale, the purpose of reducing daily peak-valley differences of the distribution network is achieved, and comfort degrees of indoor temperature are not impacted at the same time.

Description

technical field [0001] The invention belongs to the technical field of power system operation and control, and in particular relates to a day-ahead scheduling method for orderly power consumption of air source heat pumps based on chance constraints. Background technique [0002] In order to control air pollution, the "coal-to-electricity" project in North China is progressing rapidly, covering 28 cities in Beijing, Tianjin, Hebei, Shandong, Henan and Shanxi provinces. By the end of 2016, the Beijing area had completed the "coal-to-electricity" transformation of a total of 582,500 households in 400 villages, and will complete the "coal-to-electricity" transformation of 522 villages before the heating season in 2017. The electrothermal conversion efficiency of the air source heat pump can reach more than 2.5, so its energy utilization efficiency is much higher than that of direct electric heating. Air source heat pumps have become the mainstream way of "coal to electricity" h...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06G06F30/20G06F2111/04
Inventor 陈平吴文传朱洁张伯明丁屹峰栗子豪孙宏斌杨烁孙钦裴徐蕙张宝群马龙飞宫成王芳梁安琪
Owner STATE GRID CORP OF CHINA