Multi-target area multi-microgrid structure and capacity optimization planning method

A multi-microgrid and regional technology, applied in the microgrid field, can solve the problems of the uncertainty of renewable energy power generation output, the safe operation of the power grid and the impact of reliable power supply.

Pending Publication Date: 2016-09-28
TIANJIN UNIV +1
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  • Application Information

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Problems solved by technology

[0002] Renewable energy power generation represented by wind power and photovoltaics has great uncertainty in output, a

Method used

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  • Multi-target area multi-microgrid structure and capacity optimization planning method
  • Multi-target area multi-microgrid structure and capacity optimization planning method
  • Multi-target area multi-microgrid structure and capacity optimization planning method

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Embodiment Construction

[0023] Attached to the following figure 1 And the specific embodiment will describe in detail the economical optimal planning method of regional multi-microgrid structure and capacity aiming at networking flexibility, distributed energy consumption and multi-energy comprehensive utilization in the present invention.

[0024] The technical scheme adopted by the present invention includes the planning content and planning objectives of the multi-micro network, and the details are as follows:

[0025] 1. The planning content of multi-microgrid includes two parts: structure optimization and capacity optimization, which are explained as follows:

[0026] 1) Structural optimization

[0027] Structural optimization mainly includes two parts: intra-microgrid topology optimization and multi-microgrid topology optimization. The topology optimization in the micro-grid mainly uses the immune genetic algorithm proposed by the present invention to plan and optimize the location of distrib...

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Abstract

The invention relates to a multi-target area multi-microgrid structure and capacity optimization planning method. The method includes steps of obtaining the capacity and type of a load, the position, capacity, and type of a distributed power supply, a multi-microgrid network structure, and initialized data of energy storage position, and capacity, and type; setting the requirement values of networking flexibility, distributed energy consumption, and multi-energy comprehensive utilization target; obtaining a series of antibody populations that meet the value requirements of networking flexibility, distributed energy consumption and multi-energy utilization target; operating the antibody populations by means of an immune genetic algorithm; and outputting an economic and optimal area multi-microgrid structure and capacity planning method meeting the networking flexibility, distributed energy consumption, and multi-energy comprehensive utilization target. On the premise of guaranteeing the economy, the networking flexibility, distributed energy consumption capability, and multi-energy comprehensive utilization efficiency can be improved.

Description

technical field [0001] The invention belongs to the technical field of micro-grid, and relates to an area multi-micro-grid structure and a capacity optimization planning method. Background technique [0002] Renewable energy power generation represented by wind power and photovoltaics has great uncertainty in output, and direct grid connection can easily affect the safe operation of the power grid and the reliable supply of electricity. Renewable energy generation such as wind power and photovoltaics, together with energy storage, load, etc., are connected to the power grid in the form of a micro-grid, which helps to eliminate the impact of the uncertainty of renewable energy power generation and improve the grid’s ability to absorb renewable energy. At the same time, the microgrid can not only operate in parallel with the grid, but also operate in an isolated island when the external power grid fails, so it can solve the problem of continuous power supply to key loads under...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06N3/12
CPCG06N3/126G06Q10/04G06Q50/06Y02E40/70Y04S10/50
Inventor 王守相张齐庄剑王旭东
Owner TIANJIN UNIV
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