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A new energy power system optimal dispatching method based on sample entropy

A power system scheduling and optimal scheduling technology, applied in wind power generation, photovoltaic power generation, electrical components, etc., can solve problems such as waste and resource consumption, and achieve the effects of minimizing fluctuations, maximizing utilization efficiency and system economic benefits

Inactive Publication Date: 2021-07-16
DALIAN UNIV OF TECH +1
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Problems solved by technology

This method is not only conservative but also wastes resources

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  • A new energy power system optimal dispatching method based on sample entropy
  • A new energy power system optimal dispatching method based on sample entropy
  • A new energy power system optimal dispatching method based on sample entropy

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Embodiment Construction

[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

A sample entropy-based optimal scheduling method for new energy power systems belongs to the field of optimal scheduling for new energy power systems in power systems. Firstly, the present invention predicts the output of new energy, wind power and photovoltaic; new energy and traditional load form a net load. Secondly, analyze the characteristics of the payload sequence, divide the subsequence, and calculate the corresponding sample entropy. Finally, the complexity of the net load subsequence is evaluated based on the sample entropy, and the role of the power supply is adjusted according to the sample entropy value reflecting the complexity. The traditional power supply flexibly tracks the volatility of the net load. Aiming at the grid-connected problem of new energy in the power system, the present invention proposes to make a high proportion of new energy energy preferentially connected to the grid and form a net load with traditional loads, so as to avoid the phenomenon of abandoning wind and light; aiming at the fluctuation degree of the net load curve, the output state of thermal power units and range, minimize the fluctuation of thermal power units, maximize the efficiency of renewable energy utilization and the economic benefits of the system.

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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Patent Type & Authority Patents(China)
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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