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Random production simulation method for power system containing photo-thermal-photovoltaic power generation

A photovoltaic power generation and power system technology, applied in data processing applications, complex mathematical operations, instruments, etc., can solve the problems of system operating cost estimation deviation, difficult new energy power supply planning, and optimistic estimation of new energy grid-connected operation, etc. Achieve the effects of reducing calculation time, improving calculation efficiency, and increasing convergence speed

Pending Publication Date: 2020-05-19
STATE GRID GASU ELECTRIC POWER RES INST +2
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  • Abstract
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  • Application Information

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Problems solved by technology

[0003] In order to realize the coordinated planning and operation of solar thermal-photovoltaic power generation, it is necessary to use the power system production simulation method to analyze the technical and economic characteristics of the power planning scheme. However, the power planning method for traditional power (thermal power) is difficult to apply to new energy power planning
On the one hand, the power system production simulation calculation based on the continuous load curve is difficult to accurately and sensitively reflect the impact of changes in load and new energy output timing characteristics on the technical and economic indicators of system operation, resulting in deviations in the estimation of system operating costs
On the other hand, the planning method based on power balance cannot consider the resource spatio-temporal characteristics of new energy sources and the capacity of the power system, resulting in an optimistic estimate of the operation of new energy grid-connected.

Method used

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  • Random production simulation method for power system containing photo-thermal-photovoltaic power generation
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  • Random production simulation method for power system containing photo-thermal-photovoltaic power generation

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Embodiment 1

[0038] The present invention designs and proposes a stochastic production simulation method based on an improved algorithm for power systems containing photothermal-photovoltaic power generation, such as figure 1 As shown, the steps are:

[0039] Step A: Read the original data of photovoltaic output in each period, meet the expected value, and the attribute parameters of each unit, and sort the thermal power units according to economic efficiency;

[0040] Step B: Obtain the state continuity curve of the unit according to pseudo-sequential Monte Carlo, determine the uncertainty of the new energy load error in each period, and obtain the actual curve;

[0041] Step C: The implementation of the VR-SVI algorithm is as follows:

[0042] C1: Input the number D of the original state set, the number N of samples x, and the learning rate P t , local variational parameters Φ and γ, initialization hyperparameters α, η and global variational parameters ε (0) , iteration count variable...

Embodiment 2

[0049] 1 Random production simulation

[0050] 1.1 Pseudo-sequential Monte Carlo method

[0051] The pseudo-sequential Monte Carlo method combines the advantages of sequential and non-sequential simulation. In this method, non-sequential Monte Carlo sampling is performed on the system state, and only the fault-adjacent state subsequence that describes the entire outage process Sequential Monte Carlo simulations are performed to obtain timing information of load-loss state subsequences that contribute to the system reliability index. The basic idea of ​​using pseudo-sequential simulation algorithm for stochastic production simulation of a power system containing n components is:

[0052] (1) Generate n random numbers, according to the unavailability rate λ of each component i Determine whether there is a component failure;

[0053] (2) If the component m fails, get the system fault state x m , recorded as the fault event m, otherwise, go to step (1);

[0054] (3) Generate ...

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Abstract

The invention belongs to the field of reliability analysis of a power system containing new energy. Specifically, random production simulation of a power system containing photo-thermal-photovoltaic power generation is carried out. Random production simulation is carried out on a power system containing photo-thermal-photovoltaic power generation by adopting a pseudo-sequential Monte Carlo improved algorithm, the calculation efficiency is improved by combining the pseudo-sequential Monte Carlo improved algorithm with an analytical method, and the convergence rate is improved by adopting a technology with smaller variance, so that the calculation time consumed by the pseudo-sequential Monte Carlo method is remarkably shortened, and the reliability is improved.

Description

technical field [0001] The invention belongs to the field of reliability analysis of electric power systems containing new energy, and relates to an improved algorithm for random production simulation of electric power systems containing photothermal-photovoltaic power generation, specifically an improved algorithm for photothermal-photovoltaic power generation based on pseudo-sequential Monte Carlo algorithms. Systematic stochastic production simulation method. Background technique [0002] Solar power generation is increasingly prominent in the power supply system with its advantages of safety, cleanliness, high efficiency, and sustainability. Among them, solar thermal power plants have good dispatchability and controllability, and when the ratio of solar thermal power reaches a certain level, they can replace thermal power units for peak regulation. However, as the penetration rate of photovoltaic power generation continues to increase, the intermittent, random and uncer...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/18G06Q10/06G06Q50/06
CPCG06F17/18G06Q10/06393G06Q50/06
Inventor 张珍珍陈钊王明松高鹏飞赵龙周强王定美汪宁渤李津马志程吕清泉张金平张彦琪韩旭杉马彦宏张睿骁张健美丁坤韩自奋黄蓉马明周识远张艳丽董海鹰安玫
Owner STATE GRID GASU ELECTRIC POWER RES INST
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