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Random production simulation method used for wind energy-solar photovoltaic energy-stored energy combined power generating system

A technology of combined power generation and simulation methods, applied in photovoltaic power generation, photovoltaic modules, photovoltaic power stations, etc., can solve problems that affect the accuracy of random production simulation results, and cannot take into account the impact of wind and solar complementary effects on the system due to the operating characteristics of energy storage devices.

Inactive Publication Date: 2016-08-24
HEFEI UNIV OF TECH +1
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Problems solved by technology

If the traditional stochastic production simulation algorithm is used to evaluate the economy and reliability of the wind-solar-storage combined power generation system, it is obviously impossible to take into account the operating characteristics of the energy storage device and the impact of the wind-solar complementary effect on the system, which will affect the stochastic production. Accuracy of simulation results

Method used

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  • Random production simulation method used for wind energy-solar photovoltaic energy-stored energy combined power generating system
  • Random production simulation method used for wind energy-solar photovoltaic energy-stored energy combined power generating system
  • Random production simulation method used for wind energy-solar photovoltaic energy-stored energy combined power generating system

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Embodiment Construction

[0066] In this example, if figure 1 As shown, the wind-solar-storage combined power generation system includes: wind power generation modules, photovoltaic power generation modules, and energy storage devices; figure 2 As shown, a stochastic production simulation method for wind-solar-storage combined power generation system is carried out as follows:

[0067] Step 1. Use the K-Means algorithm to divide the meteorological model:

[0068] Without restricting the output of new energy, the output of the wind-solar-storage combined power generation system is related to the meteorological environment. If the factors of wind speed and solar irradiance are considered in isolation, it is obviously impossible to fully describe the complementary characteristics of wind and solar. To this end, the original wind speed and solar irradiance data are analyzed and processed;

[0069] Step 1.1, divide the original scenery data into several time periods according to day and night, and defin...

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Abstract

The invention discloses a random production simulation method used for a wind energy-solar photovoltaic energy-stored energy combined power generating system. The random production simulation method is characterized in that 1, meteorological model division is carried out by adopting a K-Means algorithm; 2, wind energy-solar photovoltaic energy-stored energy probabilistic modeling is carried out; 3, a wind energy power generating module, a photovoltaic power generating module, an energy storage device, and a load are serialized; 4, random production simulation is realized based on a sequence operation theory. The random production simulation method is advantageous in that a wind energy-solar photovoltaic energy complementation characteristic is better described, and the random production simulation of the wind energy-solar photovoltaic energy-stored energy combined power generating system is carried out, and therefore references are provided for the operation and the scheduling of the wind energy-solar photovoltaic energy-stored energy combined power generating system.

Description

technical field [0001] The invention relates to the field of operation and planning of a wind-solar-storage combined power generation system, in particular to the application of a stochastic production simulation algorithm to calculate the power generation and reliability of the wind-solar-storage combined power generation system. Background technique [0002] Stochastic production simulation is an important method for traditional power system production cost calculation and reliability evaluation. The stochastic production simulation considers the uncertain factors, such as the random fluctuation of the future power load, the random outage of the generator set during operation, etc., deeply describes the production process of the power system, and gives the production cost of the power generation system operation and reliability indicators. Since the 1970s, the research on random production simulation has been started at home and abroad, and the standard convolution method...

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Application Information

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IPC IPC(8): H02J3/32H02S10/12
CPCH02J3/32H02J2203/20H02S10/12Y02E10/56
Inventor 吴红斌白雪丁明赵波周金辉徐琛
Owner HEFEI UNIV OF TECH
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