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Chaos partial searching-based direct current distribution network power supply energy storage dual-layer planning method

A technology of local search and two-layer planning, applied in the direction of DC network circuit devices, AC network circuits, electrical components, etc., can solve the problems of poor convergence and slow convergence speed.

Inactive Publication Date: 2018-03-27
SOUTHEAST UNIV +1
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Problems solved by technology

[0005] In view of the fact that DC distribution network distributed power supply and energy storage planning is a complex mathematical model, the shortcomings of traditional optimization algorithms such as poor convergence and slow convergence speed cannot solve the model well, so this patent considers the use of NAGA- 2 and the cuckoo algorithm based on chaotic local search to solve the DC distribution network distributed power supply and energy storage bi-level programming model involved in this patent

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Embodiment Construction

[0076] The technical solutions of the present invention will be described in detail below by way of examples. However, the examples are only one of the embodiments of the present invention. It should be pointed out that for those skilled in the art, without departing from the principle of the present invention In the following, several improvements and equivalent replacements can also be made by changing the structure and load form, etc. These technical solutions after improvements and equivalent replacements to the claims of the present invention fall into the protection scope of the present invention.

[0077] The bi-level programming method of DC distribution network power supply energy storage based on chaotic local search includes the following steps:

[0078] Step S1, with economy, power supply reliability and environmental benefits as the goals, and distributed power supply capacity as an independent variable, a first-level multi-objective optimization model is established;

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Abstract

The invention discloses a chaos partial searching-based direct current distribution network power supply energy storage dual-layer planning method. The method comprises the steps of S1, taking distributed power supply capacity as an independent variable and establishing a first layer of multi-target optimization model; S2, specific to the first layer of multi-target optimization model, solving themodel by chaos partial searching-based NSGA-2 to obtain a Pareto result of photovoltaic, wind generator and micro combustion gas turbine; S3, by taking system shortage load rate as a target function,and by taking energy storage capacity as an independent variable, establishing a second layer of optimization model; and S4, solving the second layer of model by a chaos partial searching-based Cuckoo algorithm to obtain an energy storage configuration scheme. By virtue of the dual-layer planning method, the distributed type power supply and energy storage capacity configuration of the complex direct current power distribution network can be realized, so that theoretical foundation is provided for development of the direct current distribution network in the future.

Description

Technical field: [0001] The invention relates to a two-level planning method for energy storage of a DC distribution network power supply based on chaotic local search, and belongs to the technical field of DC distribution network planning. Background technique: [0002] The development of the DC distribution network has become a hot topic of current research. Its advantages include: 1. Facilitate the access of distributed new energy; 2. Facilitate the access of energy storage; 3. Increase the power supply capacity; 4. Reduce the line loss. [0003] In the stage of DC distribution network planning, the capacity configuration of distributed power and energy storage is an important research direction. Among them, due to the huge uncertainty of distributed new energy, its configuration must consider the intervention of energy storage. [0004] In addition, considering the fluctuation of the load, the configuration of distributed power and energy storage is more difficult. Therefore, i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J1/00G06Q50/06
CPCG06Q50/06H02J1/00H02J2203/20
Inventor 徐青山蒋贤强柳丹袁晓冬李强
Owner SOUTHEAST UNIV
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