An optimal dispatching method of new energy power system based on sample entropy

A technology for dispatching and optimizing dispatching of power systems, applied in wind power generation, photovoltaic power generation, electrical components, etc., can solve problems such as waste and causing resources

Active Publication Date: 2019-01-22
DALIAN UNIV OF TECH +1
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  • An optimal dispatching method of new energy power system based on sample entropy
  • An optimal dispatching method of new energy power system based on sample entropy
  • An optimal dispatching method of new energy power system based on sample entropy

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[0089] Taking the improvement of the ten-unit system as an example, the specific implementation of the present invention will be described in detail in combination with the technical solution and the accompanying drawings. The system parameters are shown in Table 1. The maximum load in the system is 2220MW, and the load curve is as follows image 3 shown. The installed capacity of the hydropower plant is 700MW, and the total capacity of thermal power units that can participate in the operation is 2358MW. The wind power ratio is two wind power plants with an installed capacity of 500MW, with a penetration rate of 45%; the installed capacity of a photovoltaic power plant is 600MW, with a penetration rate of 27%. The overall share of renewable energy was 72%.

[0090] Table 1 System data of ten units

[0091]

[0092] figure 2 It is a flow chart of the optimal dispatching method for power systems with new energy based on sample entropy, and the specific steps are as follo...

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Abstract

The invention relates to a new energy power system optimal dispatching method based on sample entropy, belonging to the field of new energy power system optimal dispatching in power system. At first,that invention predicts the output according to the new energy source, the wind pow and the photovoltaic power; New energy forms net load with traditional load. Secondly, the characteristics of the payload series are analyzed, and the sub-series are divided to calculate the entropy of the corresponding samples. Finally, the complexity of the payload subsequence is evaluated based on sample entropy, and the power role is adjusted according to the sample entropy reflecting the complexity. The traditional power supply can track the fluctuation of the payload flexibly. As to that problem of grid connection of new energy source in the electric power system, the invention propose that the net load is formed by the high proportion of new energy sources and the traditional load, and the phenomenonof abandoning wind and light is avoided; According to the fluctuation degree of the payload curve, the output state and interval of the thermal power unit are adjusted to minimize the fluctuation ofthe thermal power unit and maximize the renewable energy utilization efficiency and system economic benefits.

Description

technical field [0001] The invention belongs to the field of optimal dispatching of new energy power systems in power systems. It involves the theory of sample entropy calculation and power system optimal dispatch, especially a method based on sample entropy to solve the optimal dispatch of power systems containing new energy. Background technique [0002] In order to solve the reduction of fossil energy and actively develop new energy power generation such as wind and solar, the proportion of renewable energy in the power system has increased year by year, resulting in the transformation of energy production and consumption. The integration of new energy into the grid will become an inevitable development trend and important feature of the new energy power system. How to improve the utilization efficiency of new energy and reduce the volatility brought by the increase in the proportion of new energy to traditional power sources is an urgent problem to be solved. [0003] I...

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Application Information

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IPC IPC(8): H02J3/38H02J3/46
CPCH02J3/382H02J3/383H02J3/386H02J3/381H02J3/46H02J2203/20Y02E10/56Y02E10/76
Inventor 孙辉胡姝博孙启忠孙卓凝刘昕张富宏彭飞翔周玮高正男袁鹏王昊天
Owner DALIAN UNIV OF TECH
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