Wind and light storage generating unit capacity optimal configuration method based on rated capacity

A technology of capacity optimization configuration and power generation unit, applied in the direction of photovoltaic power generation, wind power generation, energy storage, etc., can solve problems such as limitations

Inactive Publication Date: 2014-12-24
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
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Problems solved by technology

In this case, the capacity allocation results and the overall output characteristics are closely related to the load change trend, and it will be greatly limited to apply it to large-scale wind-storage-storage combined grid-connected power generation
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  • Wind and light storage generating unit capacity optimal configuration method based on rated capacity
  • Wind and light storage generating unit capacity optimal configuration method based on rated capacity
  • Wind and light storage generating unit capacity optimal configuration method based on rated capacity

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Embodiment 1

[0026] Embodiment 1: A method for optimizing the capacity allocation of wind-solar-storage power generation units based on rated capacity, which is carried out according to the following steps:

[0027] Step1: According to the distribution of local wind and light resources, establish the output model of wind turbines and photovoltaic modules, and the energy conversion model of energy storage batteries.

[0028] Fan output model:

[0029] The output characteristics of wind turbines can be expressed by the following formula:

[0030] P wd ( t ) = 0 v ( t ) v min or v ( ...

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Abstract

The invention discloses a wind and light storage generating unit capacity optimal configuration method based on the rated capacity. The method comprises the following steps that firstly, a model is established according to the distribution situation of the local wind resource and the local light resource; secondly, a storage battery device is controlled according to the principle about utilizing the renewable energy sources to the maximum degree and performing constant output, and a coordinated operation strategy of the system is formulated; thirdly, a target function is set to show the expenditure in the life cycle of a generating unit and, and the expenditure is set to be minimal; fourthly, the constraint condition of capacity optimal configuration is determined; fifthly, a fuzzy logic control method is utilized for dynamically adjusting an energy converting model of an energy-storing storage battery so that the energy converting model can achieve rapid convergence; sixthly, based on the target function and the constraint condition, the target function of the generating unit and capacity proportion optimal values of all parts are resolved according to an improved iteration and self-adaptation genetic mixed algorithm. According to the method, a power grid can conveniently assess the generating capacity of the generating unit, and the power grid can easily formulate the dispatching plan and improve the accepting degree for the renewable energy sources.

Description

technical field [0001] The present invention relates to a method for optimizing the capacity of a wind-solar-storage-generation unit, and more specifically, to a method for optimizing the capacity of a large-scale wind-storage-storage unit. Background technique [0002] Both wind energy and solar energy are green and clean energy sources with broad application prospects. At present, several countries around the world have begun to study the key technical issues of wind energy, solar energy, and battery energy storage combined power generation. [0003] In terms of optimal allocation of wind-solar-storage combined power generation capacity, several research results have emerged, which can be mainly divided into single-objective optimization methods and multi-objective optimization methods. The single-objective optimization method mainly takes power supply reliability as the constraint condition and minimizes the system investment cost as the goal. The multi-objective optimi...

Claims

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Application Information

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IPC IPC(8): H02J3/38H02J3/28
CPCY02E10/56Y02E10/76Y02E70/30
Inventor 吴克河周欢张韦佳龚瑞
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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