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Power distribution network planning method based on improved genetic algorithm and PRIM algorithm

An improved genetic algorithm and distribution network planning technology, applied in the field of power planning, can solve problems such as poor applicability of algorithms

Active Publication Date: 2019-12-27
NORTHEASTERN UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Direct application of genetic algorithm will produce a large number of invalid solutions resulting in poor applicability of the algorithm

Method used

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  • Power distribution network planning method based on improved genetic algorithm and PRIM algorithm
  • Power distribution network planning method based on improved genetic algorithm and PRIM algorithm
  • Power distribution network planning method based on improved genetic algorithm and PRIM algorithm

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Embodiment Construction

[0078] The following is a detailed description of the technical solution of the present invention in conjunction with the accompanying drawings.

[0079] like figure 1 As shown in the flowchart of the distribution network planning method based on the improved genetic algorithm and the PRIM algorithm of the present invention, a distribution network planning method based on the improved genetic algorithm and the PRIM algorithm comprises the following steps:

[0080] Step 1: Establish a mathematical model for distribution network planning, and use the minimum investment and operating costs (including substation investment and substation operating costs, upper-level grid feeder and lower-level grid feeder investment costs, and network operating costs) as the objective function to determine medium-voltage distribution The optimal site, quantity, and capacity of the selected transformer for the substation, the specific steps are as follows:

[0081] S1 takes the minimum investment ...

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Abstract

The invention discloses a power distribution network planning method based on an improved genetic algorithm and a PRIM algorithm. The method comprises: establishing a power distribution network planning model; secondly, using an improved genetic algorithm to solve the optimal station address and number of the medium-voltage power distribution station and the capacity of the selected transformer, and enhancing the genetic algorithm by improving chromosome coding, a fitness function and a genetic operator; thirdly, using an improved PRIM algorithm to solve feeder line optimal paths between the high-voltage transformer substation and the medium-voltage transformer substation, between the medium-voltage transformer substation and the load center and between the medium-voltage transformer substation and the load center; fourthly, executing a power distribution network planning method based on an improved genetic algorithm and a PRIM algorithm on the test network to obtain an optimal arrangement planning scheme of the transformer substation and the medium-voltage feeder line, and determining an optimal power distribution network planning scheme by calculating economic and reliability indexes; and fifthly, performing load flow calculation by adopting a forward-backward sweep method to verify the practicability of the planning scheme. The method has the advantages of being high in searching speed and suitable for solving the planning problem of the large-planning power distribution network.

Description

technical field [0001] The technology belongs to the technical field of electric power planning, and specifically relates to a distribution network planning method based on an improved genetic algorithm and a PRIM algorithm. Background technique [0002] Power is generated by power plants and delivered to high-voltage transmission lines. These transmission lines transmit power to medium-voltage substations, and then supply power to users through distribution networks. Through reasonable planning of distribution networks, users' power needs can be met with high-quality services. . There are many decision variables in the distribution network, which have a great impact on the distribution network. After optimal site selection of distribution substations, the problem of distribution network feeder routing is the main problem in distribution network planning and expansion. Under the condition of meeting the technical requirements and electrical constraints of safe and stable o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06G06N3/12
CPCG06Q10/06315G06Q10/0637G06Q10/067G06Q10/04G06Q50/06G06N3/126Y04S10/50
Inventor 罗艳红李勇波杨东升周博文尹振兴麻向津
Owner NORTHEASTERN UNIV
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