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Model predictive control-based optimization scheduling framework for system containing photo-thermal power station

A technology of model predictive control and solar thermal power station, applied in the field of optimal dispatching framework of solar thermal power station system and new power grid optimization operation strategy, can solve the problems affecting the control effect of the system, so as to ensure safety and reliability, reasonable dispatching plan, and improve The effect of system economy

Pending Publication Date: 2022-01-11
STATE GRID JIANGXI ELECTRIC POWER CO +1
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Problems solved by technology

[0004] However, most of the existing scheduling models for CSP-containing systems are day-ahead scheduling models, and a small number of scholars have carried out research on intra-day coordination.
However, this type of method is essentially a deterministic open-loop control model, ignoring the transfer of control deviations caused by other uncertain factors such as system power prediction errors between adjacent control periods, which will eventually affect the system control effect

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  • Model predictive control-based optimization scheduling framework for system containing photo-thermal power station
  • Model predictive control-based optimization scheduling framework for system containing photo-thermal power station
  • Model predictive control-based optimization scheduling framework for system containing photo-thermal power station

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Embodiment Construction

[0051] The method for coordinating and optimizing dispatching of power systems of solar-thermal power stations based on model predictive control in the present invention mainly includes three links: model prediction, rolling optimization and feedback correction. The core idea is: rolling time-domain dynamic prediction, usually in the form of discretized state space to establish the MPC model, the basic principle is as follows figure 1 shown. k is the current moment, Rs(k) is the set reference value, u(k) is the input control variable, y(k) is the output quantity, and d(k) is the disturbance quantity. In rolling time domain dynamic prediction, there are two time domains: prediction time domain (p time intervals) and control time domain (m time intervals), and p≥m.

[0052] The main steps of the entire optimal control process are as follows: 1) At the current moment k, based on the current state and prediction model, according to historical information {u(k-j), y(k-j)|j≥1} and ...

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Abstract

The invention discloses a model predictive control-based optimization scheduling framework for a system containing a photo-thermal power station. Aiming at solving the problems that according to an existing determined open-loop control model, due to the fact that the transmission of control deviation between adjacent control time periods caused by system power prediction errors and other uncertain factors is ignored, the system control effect is affected, the invention introduces the thought of model predictive control, and a coordinated scheduling framework comprising two links of rolling optimization and real-time dynamic adjustment is established; and then, based on the power balance equation, a power balance equation in the photo-thermal power station and related constraints, a prediction model of a combined power generation system in which the photo-thermal power station participates is constructed, and on this basis, a rolling optimization scheduling model and a real-time dynamic adjustment model are established. According to the scheduling method provided by the invention, real-time tracking of an optimization target can be realized, the influence of a multi-source power prediction error on scheduling is effectively considered, and the economical efficiency and the reliability of the power system containing the heat storage photo-thermal power station are improved.

Description

technical field [0001] The invention relates to a novel power grid optimization operation strategy method including new energy access, specifically refers to a model predictive control-based optimal dispatching framework for a solar thermal power station system, and belongs to the technical field of power system operation control. Background technique [0002] Concentrating solar power (CSP) power generation has received widespread attention as an emerging large-scale solar power generation technology. Solar thermal power generation technology converts the collected solar radiation into heat energy, and is equipped with a heat storage system to regulate light-heat-electricity. During the conversion process, part of the thermal energy can be stored, and part of it can generate steam to drive the steam turbine to generate electricity, which can realize 24-hour power generation and solve the problem of traditional solar power generation "power off during the day and stop at nigh...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06Q10/06G06Q50/06G06F111/04G06F111/06
CPCG06F30/20G06Q10/06315G06Q50/06G06F2111/04G06F2111/06Y02E40/70Y04S10/50
Inventor 叶鹤林韩坚刘松彭恺李剑
Owner STATE GRID JIANGXI ELECTRIC POWER CO
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