Microgrid energy storage optimal configuration method containing electric automobile

A technology for optimizing configuration of electric vehicles, applied in the field of optimal configuration of microgrid energy storage

Active Publication Date: 2019-06-14
WUHAN UNIV
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Problems solved by technology

The biggest problem is that electric vehicles as a whole have not been well considered, and ...

Method used

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  • Microgrid energy storage optimal configuration method containing electric automobile
  • Microgrid energy storage optimal configuration method containing electric automobile
  • Microgrid energy storage optimal configuration method containing electric automobile

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Embodiment Construction

[0031] Through the following examples, combined with the attached Figure 1-3 , the technical solution of the present invention will be further specifically described.

[0032] Refer to attached picture figure 2 Shown in: a microgrid energy storage optimization configuration method including electric vehicles, including the following steps:

[0033] Step 1. Establish a micro-grid system structure including electric vehicles, distributed new energy and energy storage systems. The microgrid system structure mainly includes wind power generation system, photovoltaic power generation system, electric vehicle system, energy storage system, and corresponding load and microgrid energy control system.

[0034] Step 2, establish a photovoltaic power generation system model. Based on the β distribution satisfied by the light intensity, the shape parameters α and β are obtained from actual data as α=μ[μ(1-μ) / δ 2 -1] and β=(1-μ)[μ(1-μ) / δ 2 -1], where μ and σ are the mean and standar...

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Abstract

The invention relates to a microgrid energy storage optimal configuration method containing an electric automobile. On the basis of a multi-objective particle swarm algorithm, the method serves as a method used for multi-objective nonlinear optimization. On the time scale of power grid economic dispatching, a configuration model which takes minimum daily operation maintenance cost and microgrid peak load regulation cost and maximum daily comprehensive income and electric automobile total revenue as an objective is constructed; and through a linear weighting method, a multi-objective function is converted into a single-objective function, and finally, the single-objective function is optimized by the particle swarm algorithm. Therefore, an energy storage capacity which needs to be configured by a system can be accurately calculated, meanwhile, the control quantity of each controllable element in the microgrid is obtained, the peak load regulation capability of the microgrid is improved,the energy storage capacity configuration investment of the microgrid is effectively lowered, meanwhile, the economic efficiency of microgrid operation and positivity for accessing the electric automobile into the power grid to carry out ordered charging and discharging can be improved, and the peak and valley difference of the microgrid system is lowered.

Description

technical field [0001] The invention relates to a method for optimal configuration of micro-grid energy storage, in particular to a method for optimal configuration of micro-grid energy storage including orderly charging and discharging of electric vehicles. Background technique [0002] At present, the existing research methods are mainly the cost method and the index method in terms of the energy storage optimization configuration method of the microgrid under the integration of electric vehicles. . [0003] The cost method mainly aims to minimize the cost of the microgrid in the process of optimal configuration, including the operating cost of the microgrid, the maintenance cost of the microgrid, and other investment costs, etc., and does not consider the benefits of the microgrid. The index method mainly takes the index in the operation of the microgrid as the optimization target, such as line loss rate, power supply reliability and so on. This method pays more attenti...

Claims

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Application Information

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IPC IPC(8): H02J3/32H02J3/46
CPCY02E70/30Y02E10/56Y02E10/76
Inventor 邓长虹杨晓坤
Owner WUHAN UNIV
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