Reliability optimization method of distributed power supply system

A technology of power supply system and optimization method, which is applied in the direction of instruments, data processing applications, prediction, etc.

Inactive Publication Date: 2012-06-20
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0004] The present invention is aimed at the problem that the distributed power supply system needs to be optimized in the face of complex situations, and proposes a solar photovoltaic module with temperature regulation, which uses air cooling to automatically control the excess heat on the solar panel to ensure that the solar photovoltaic module is normal and effective Work

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  • Reliability optimization method of distributed power supply system
  • Reliability optimization method of distributed power supply system
  • Reliability optimization method of distributed power supply system

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Embodiment Construction

[0037]The present invention mainly considers the random uncertainty of the load prediction value and the fuzzy uncertainty of the output of the renewable energy DG. The load prediction value is represented by a random variable with a normal distribution, and the active power output of the renewable energy DG is represented by a trapezoidal fuzzy variable. A hybrid chance-constrained programming model based on reliability optimization is established with the minimum expected value of the sum of investment and operation costs and power outage compensation costs of distributed power supply system as the objective function.

[0038] The specific implementation steps are as follows:

[0039] (1) Use random variables to represent the load forecast value:

[0040] According to the characteristics of the load forecast value, the normal distribution random variable is used to represent the load forecast value. For example, the predicted load of the known time period t is , the actua...

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Abstract

The invention relates to a reliability optimization method of a distributed power supply system. In the method, the random uncertainty of a load forecasting value and the fuzzy uncertainty of the renewable energy type DG (Distributed Generation) output are mainly considered, the load forecasting value is represented by a random variable in normal distribution, the renewable energy type DG active output is represented by a trapezoidal fuzzy variable, and the minimization of an expected value of the sum of the investment and operating cost and the outage loss compensation cost of the distributed power supply system is taken as a target function, so as to establish a hybrid chance-constrained programming model based on reliability optimization. In comparison with the scheme obtained by the conventional method, the method provided by the invention has stronger adaptability to the uncertainty of future factors, and can largely reduce compensation investment after the event and reduce loss and waste.

Description

technical field [0001] The invention relates to a power distribution optimization technology, in particular to a reliability optimization method for a distributed power supply system. Background technique [0002] The reliability and economy of power distribution system are closely related. For the power supply department, when optimizing the reliability of the power distribution system, the investment cost should be the increased investment in equipment to enhance the reliability of power supply, and the user loss generally refers to the power outage loss caused by the power supply interruption. Considering the relationship between reliability and economy, it is impossible for us to promote one side and reduce the other. How to find a certain balance between the reliability of power supply and the investment of the power grid is a problem that needs to be considered in reliability optimization. In recent years, with the rapid development of distributed power generation te...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
Inventor 韦钢言大伟
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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