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Off-grid wind/solar/battery hybrid power generation system capacity optimal configuration method

A capacity optimization configuration and power generation system technology, applied in the direction of circuit devices, battery circuit devices, collectors, etc., can solve problems that are difficult to meet system economy, reliability, accuracy, etc.

Inactive Publication Date: 2013-03-13
TIANJIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in the capacity optimization configuration of the off-grid wind-solar-storage hybrid power generation system, the traditional empirical design has been difficult to meet the comprehensive requirements of system economy, reliability, and accuracy.

Method used

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  • Off-grid wind/solar/battery hybrid power generation system capacity optimal configuration method
  • Off-grid wind/solar/battery hybrid power generation system capacity optimal configuration method
  • Off-grid wind/solar/battery hybrid power generation system capacity optimal configuration method

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Embodiment Construction

[0037] The configuration method of the present invention will be described in detail below in conjunction with the drawings and embodiments.

[0038] (1) Model establishment

[0039] figure 1 Shown is the structural diagram of the off-grid wind-solar-storage hybrid power generation system. The hybrid system is composed of wind turbines, photovoltaic panels, batteries, inverters, and controllers.

[0040] 1. Wind turbine model

[0041] The analysis results of a large number of measured data show that the wind speed variation in an area approximately obeys the Weibull distribution, and its distribution function is:

[0042] F w ( v ) = P ( V ≤ v ) = 1 - exp [ - ( v c ...

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Abstract

The invention belongs to the technical field of renewable energy and relates to an off-grid wind / solar / battery hybrid power generation system capacity optimal configuration method which includes: (1) initializing particles; (2) calculating generating capacities of a fan and a photovoltaic plate according to local climatic environment and user data, checking out charge-discharge capacity of a storage battery, ensuring that the charge-discharge capacity of the storage battery per hour does not surpass the maximum charge-discharge capacity, and setting the charge-discharge capacity of the storage battery which surpasses the maximum charge-discharge capacity to be the maximum charge-discharge capacity; (3) calculating an objective function value, namely time to character (TTOC) of each particle; and (4) obtaining the optimum particle through an improved particle swarm optimization. According to the off-grid wind / solar / battery hybrid power generation system capacity optimal configuration method, the standard particle swarm optimization is combined with a tabu list to enlarge the search range, restarting and disturbance operations are introduced to enhance the detailed search capability of the optimization, and eventually wind / solar / battery hybrid capacity proportion is led to be reasonable.

Description

Technical field [0001] The invention belongs to the technical field of renewable energy, and relates to a capacity optimization configuration method of a wind-solar-storage complementary power generation system. Background technique [0002] In the development of many new energy technologies, the off-grid wind-solar-storage hybrid power generation system can take advantage of the natural complementarity of wind energy and solar energy, and has broad application prospects. In order to balance the contradiction between power supply reliability and system economy of the off-grid wind-solar-storage hybrid power generation system, it is necessary to optimize its capacity allocation. However, in the capacity optimization configuration of the off-grid wind-solar-storage hybrid power generation system, the traditional empirical design has been difficult to meet the comprehensive requirements of system economy, reliability, and accuracy. Contents of the invention [0003] The purp...

Claims

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Application Information

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IPC IPC(8): H02J9/00H02J7/00H02J7/14
CPCY02T10/92
Inventor 王继东杨帆
Owner TIANJIN UNIV
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