Wind power daily market and simulation real-time market optimization method based on robust regret degree

A technology of real-time market and degree of regret, applied in wind power generation, electrical components, circuit devices, etc., can solve the problems of increased influence of wind power uncertainty, increased unbalanced power, load loss, etc., to increase social benefits and promote The effect of resource optimization allocation

Inactive Publication Date: 2019-03-29
FUZHOU UNIV
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Problems solved by technology

However, with the increase of wind power grid-connected scale, the impact of wind power uncertainty increases, and the unbalanced power in the real-time market increases
If the real-time market unbalanced power is too large, it may exceed the real-time market adjustment capability, resulting in wind curtailment or load loss

Method used

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  • Wind power daily market and simulation real-time market optimization method based on robust regret degree
  • Wind power daily market and simulation real-time market optimization method based on robust regret degree
  • Wind power daily market and simulation real-time market optimization method based on robust regret degree

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Embodiment Construction

[0056] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0057] Please refer to figure 1 , the present invention provides a wind power intraday market and simulated real-time market optimization method based on robust regret, comprising the following steps:

[0058] Step S1: Extract system information, including: power network information, wind power forecast information in the intraday market, clearing result information in the day-ahead market, load forecast information, wind power forecast information in the intraday market, quotation information in the intraday market, real-time market price information, and generator start-up information. Parking fee quotation information, basic information of generator sets;

[0059] Step S2: Considering the intraday energy market fee, simulating the real-time market balance fee, unit start-stop fee, establishing a joint transaction model of the intraday market and the s...

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Abstract

The invention relates to a wind power daily market and simulation real-time market optimization method based on a robust regret degree. In a daily market transaction comprising a wind power system, the uncertainty of wind power is represented through sections, and a transaction environment of a real-time market is simulated in the daily market. Based on a day-ahead market transaction result, the daily market energy cost, the simulation real-time market energy balance cost and generator set start and stop cost are comprehensively considered, and a power purchasing model of the daily market andthe simulation real-time market is built. According to the invention, the method employs the wind power section, gives consideration to the robust regret degree, takes the minimization of the robust regret degree as the target to obtain an optimal power purchase strategy of the day-ahead market. The method can give comprehensive consideration to the day-ahead market transaction result, the daily market energy cost, the simulation real-time market energy balance cost and generator set start and stop cost in the power system comprising the wind power, takes the minimization of the robust regretdegree as the target to formulate a reasonable transaction plan of the day-ahead market, and effectively reduces the wind abandoning rate.

Description

technical field [0001] The invention relates to an electric power market, in particular to a wind power intraday market and a simulated real-time market optimization method based on a robust regret degree. Background technique [0002] In the general power market, the dispatch plan for the next day is first determined in the day-ahead market, and when the actual operation of the power grid is different from the dispatch plan in the day-ahead market, the real-time market is used to balance the unbalanced power. However, with the increase of wind power grid-connected scale, the impact of wind power uncertainty increases, and the unbalanced power in the real-time market increases. If the unbalanced power in the real-time market is too large, it may exceed the real-time market adjustment capability, resulting in wind curtailment or load loss. In order to reduce the adjustment burden of the real-time market and ensure the implementability of the day-ahead trading plan and the st...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38H02J3/46H02J3/06
CPCH02J3/386H02J3/06H02J3/46H02J2203/20Y02E10/76
Inventor 江岳文陈梅森
Owner FUZHOU UNIV
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