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An optimization method for power generation of solar thermal energy storage power station based on typical static model

An energy storage power station, static model technology, applied in data processing applications, system integration technology, forecasting and other directions, can solve problems such as unsuitable long-term work, harsh environment for detection components, etc., to achieve the effect of solving the impact

Active Publication Date: 2022-05-03
ECONOMIC RES INST OF STATE GRID GANSU ELECTRIC POWER +3
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Problems solved by technology

Among them, the control method based on the thermodynamic dynamic model needs to detect too much, and the working environment of the detection element is relatively harsh, so it is not suitable for long-term work

Method used

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  • An optimization method for power generation of solar thermal energy storage power station based on typical static model
  • An optimization method for power generation of solar thermal energy storage power station based on typical static model
  • An optimization method for power generation of solar thermal energy storage power station based on typical static model

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Embodiment Construction

[0016] The invention is a method for maximizing power generation optimization based on a static model of a CSP power station. Such as figure 1 As shown, the TSS charging and discharging control strategy inside the CSP power station can be optimized to achieve the purpose of improving the CSP power generation and overall operating efficiency. Aiming at the large lag link in the control process, the Smith predictor compensator is used to compensate, and the specific invention steps are as follows:

[0017] Step 1: Comprehensively analyze the typical static model and operation mode of the CSP power station, and obtain that the charging power P of the thermal storage subsystem (Thermal Storage Subsystem, TSS) can be optimized t S-T and heat release power P t T-P method to achieve the goal of optimizing the power generation of CSP power plants. After introducing the charging power coefficient α∈[0,1] and the discharging power coefficient β∈[0,1], the charging and discharging e...

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Abstract

A static model-based power generation optimization method for photothermal power plants. First, analyze the controllable part of the static model that affects the power generation of the power station; secondly, take the maximum power generation as the objective function, and establish an optimization mathematical model based on the constraints of the static model. An optimization method is proposed; finally, the Smith estimation compensation mechanism is introduced to reduce the influence of the large lag in the control system on the stability and accuracy of the system. This optimization method can effectively improve the power generation and operating efficiency of the solar thermal energy storage power station.

Description

technical field [0001] The invention relates to a power generation optimization method based on a static model of a photothermal energy storage power station. Background technique [0002] In recent years, the Concentrating Solar Power (CSP) method has become an important power generation method to solve new energy generation and power grid volatility and randomness by virtue of its advantages of rapid output adjustment. The existing ways to increase the power generation of solar thermal energy storage power plants mainly include improving heat storage media, optimizing heat storage methods, and control methods based on thermodynamic dynamic models, but none of the above methods are suitable for long-term scale of solar thermal energy storage power plants. optimization. Among them, the control method based on the thermodynamic dynamic model needs to detect too much, and the working environment of the detection element is relatively harsh, so it is not suitable for long-term...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50Y02E40/70
Inventor 宋汶秦吕金历陆军妥建军李锦键陈英普王海亮徐建委汪静张海生张中丹曹喆王兴贵
Owner ECONOMIC RES INST OF STATE GRID GANSU ELECTRIC POWER