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Flexible demand quantification and coordination optimization method for wind-light-water multi-energy complementary system

A technology for system flexibility and coordination optimization, which is applied in the field of flexibility demand quantification and coordination optimization of wind-solar and hydro-multi-energy complementary systems, can solve problems such as the quantification of flexibility requirements of wind-solar and hydro-multi-energy complementary systems, and improve the level of clean energy consumption , reduce the effect of abandoned wind

Active Publication Date: 2022-03-25
DALIAN UNIV OF TECH
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is the quantification and coordination optimization of the flexibility demand of wind-solar-water multi-energy complementary system, the purpose is to promote the large-scale consumption of wind-solar and other clean energy, and reduce unreasonable curtailment of wind and light

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  • Flexible demand quantification and coordination optimization method for wind-light-water multi-energy complementary system
  • Flexible demand quantification and coordination optimization method for wind-light-water multi-energy complementary system
  • Flexible demand quantification and coordination optimization method for wind-light-water multi-energy complementary system

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Embodiment Construction

[0039] The specific implementation manners of the present invention will be further described below in conjunction with the drawings and technical solutions.

[0040] Based on the output distribution function of the wind power plant cluster, the output of the wind power plant cluster is converted into a series of continuous output intervals. The specific steps are as follows:

[0041] Step1. According to the output probability distribution function of the wind power plant cluster in each period, the output of the power station cluster corresponding to the α quantile point in each period is obtained:

[0042]

[0043]In the formula: Indicates the output of cluster i in each period when the quantile point is α; Indicates the output of cluster i in period t when the quantile point is α, MW; Indicates the output probability distribution function of cluster i period t;

[0044] Step2. Take a series of quantile points {0=α 1 2 …m …M+1 =1}, that is to get M+1 output curves ...

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Abstract

The invention belongs to the field of power system dispatching, and provides a wind-light-water multi-energy complementary system flexibility demand quantification and coordinated optimization method, which comprises the following steps of: firstly, constructing a flexibility demand quantification method considering wind-light output uncertainty, dividing a wind-light output interval by adopting quantiles, generating an output scene set, and generating a wind-light output scene set; further calculating flexibility requirements in each scene; and on the basis of the flexibility demand quantitative index, constructing a water-wind-light complementary optimization scheduling model considering that the system flexibility is insufficient and the expectation is minimum, and realizing water-wind-light complementary optimization calculation. Based on an actual wind-light-water complementary system of a Yunnan power grid, model verification is carried out for different new energy access proportions, and the result shows that the method can provide a multi-type power supply complementary operation scheduling scheme under different conditions, so that the flexibility requirement of the system is effectively met, the abandoned power quantity is reduced, and the consumption level of clean energy is improved.

Description

technical field [0001] The invention relates to the field of electric power system dispatching, in particular to a method for quantifying and coordinating and optimizing flexibility requirements of a wind-solar-water multi-energy complementary system. [0002] technical background [0003] For a system with a small scale of wind and solar power, the use of reserve capacity reservation can effectively deal with uncertainties such as power and load. However, as the proportion of wind and wind in the system continues to increase, affected by the uncertainty and large fluctuations of its power generation output, the previous reserve capacity method may significantly increase the cost of the system. The core issue is how to accurately quantify and absorb uncertain wind and The need for flexibility in power generation. At present, research in this area has been carried out, and some evaluation indicators have been proposed, which can be generally divided into three categories: the...

Claims

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Application Information

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IPC IPC(8): H02J3/46H02J3/38
CPCH02J3/466H02J3/381H02J2203/10H02J2203/20H02J2300/20H02J2300/24H02J2300/28Y04S10/50
Inventor 申建建王月程春田周彬彬张聪通胡林
Owner DALIAN UNIV OF TECH
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