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Photo-thermal power station optimal quotation decision-making method based on robust random model

A technology for a solar thermal power station and a decision-making method, applied in the electric power field, can solve the problems of scarcity of research on quotation decision-making for solar thermal power stations, slow construction process of the power market, uncertainty of optical resources and insufficient price volatility in the power market, and achieve optimal quotation. curve, raising expected returns, effect of raising expected returns

Active Publication Date: 2020-10-02
QINGHAI ELECTRIC POWER DESIGN INST
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004]In summary, although the optimal control method of CSP power plants with heat The research on the decision-making of station quotation is relatively scarce, and there are still obvious deficiencies in dealing with the uncertainty of optical resources and the volatility of electricity market prices.

Method used

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  • Photo-thermal power station optimal quotation decision-making method based on robust random model
  • Photo-thermal power station optimal quotation decision-making method based on robust random model
  • Photo-thermal power station optimal quotation decision-making method based on robust random model

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Embodiment 1

[0112] combine figure 1 As shown, a method for optimal quotation decision-making of solar thermal power plants based on a robust stochastic model includes the following steps:

[0113] S1. Obtain the relevant technical parameters of the grid-connected power generation of the solar-thermal power station;

[0114] S2, calculate the expected income of the solar thermal power station under certain conditions of optical resources and electricity sales price;

[0115] S3, using scenario simulation and robust optimization methods to deal with uncertain factors in the response of CSP plants;

[0116] S4. Considering the uncertainty of the photothermal conversion process and the random fluctuation of market prices, construct a stochastic optimization model for the robustness of photothermal power generation under uncertain scenarios;

[0117] S5, solve to obtain the optimal quotation curve of the solar thermal power plant under different robustness coefficients and confidence levels, a...

Embodiment 2

[0160] combine figure 1 As shown in Fig. 1, a decision-making method for optimal quotation of solar thermal power plants based on robust stochastic model.

[0161] The technical data of a solar tower solar thermal power station are listed in Table 1. In order to make full use of solar energy resources, it is assumed that the thermal capacity of the optical field is large enough, so that the solar thermal power station can operate at full power during the period of the strongest solar radiation, and at the same time store the excess thermal energy in the heat storage device. Assuming that the initial heat storage capacity of the solar-thermal power plant at time t=0 is 350MWh, the solar-thermal power is zero at this time. Taking this as an example, the present invention provides a method for optimal quotation decision-making for photothermal power plants based on a robust stochastic model:

[0162] S1: Obtain the relevant technical parameters of grid-connected power generatio...

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Abstract

The invention belongs to the technical field of electric power, and particularly relates to a photo-thermal power station optimal quotation decision-making method based on a robust random model. The method comprises the following steps of S1, acquiring the related technical parameters of grid-connected power generation of a photo-thermal power station; S2, calculating the expected income of the photo-thermal power station under the condition that the light resource and the electricity selling price are certain; S3, processing the uncertain factors of the response of the photo-thermal power station by using a scene simulation and robust optimization method; S4, considering the uncertainty of a photo-thermal conversion process and the random volatility of the market price, and constructing aphoto-thermal power generation robustness random optimization model in an uncertainty scene; and S5, solving to obtain an optimal quotation curve of the photo-thermal power station under different robust coefficients and confidence levels, and calculating the expected income under the optimal quotation decision. The method has the advantages that (1) various influence factors are comprehensivelyconsidered, and the result is reliable; and (2) the expected income of the photo-thermal power station is effectively improved; and (3) the conservative property and economy of the system are coordinated.

Description

technical field [0001] The invention belongs to the technical field of electric power, and in particular relates to a decision-making method for an optimal quotation of a photothermal power station based on a robust random model. Background technique [0002] With the depletion of fossil energy, new energy power generation technologies represented by wind power, photovoltaics, and solar heat have attracted more and more attention from all over the world. In recent years, the global CSP installed capacity has been growing steadily. The CSP power station has a stable support capability similar to conventional thermal power units, and is equipped with a heat storage device with high-temperature molten salt as the heat transfer carrier, which shows good dispatchability and is widely used in power grid security and stability control, frequency modulation, peak regulation, etc. . [0003] At present, scholars at home and abroad have done a lot of research on the optimal control ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/28H02J3/38
CPCH02J3/008H02J3/28H02J3/381H02J2203/10H02J2203/20
Inventor 朱子琪李美玲张文松祁秋民马文广张丽娟王正辉李鑫李洛李兴岳超雷晓玲
Owner QINGHAI ELECTRIC POWER DESIGN INST