Photovoltaic power station current collection system topology optimization method and system based on three-section optimization genetic algorithm

By using a three-stage optimization genetic algorithm, combined with hybrid initialization, dual repair mechanism and dynamic penalty evaluation, the shortcomings of existing methods in the topology optimization of photovoltaic power plant collection systems are solved, achieving efficient and reliable topology optimization and generating economical and feasible optimization schemes.

CN122338731AActive Publication Date: 2026-07-03HEFEI UNIV OF TECH
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Patent Information

Application Number
CN202610431153.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-02
Publication Date
2026-07-03
Estimated Expiration
2046-04-02

AI Technical Summary

Technical Problem

Existing methods for optimizing the topology of photovoltaic power plant collection systems suffer from problems such as reliance on human experience and high subjectivity, lack of consideration for practical engineering constraints in computer-aided design tools, and chaotic and inefficient initial schemes in general optimization algorithms, making it difficult to achieve efficient and reliable topology optimization.

Method used

A three-stage optimization genetic algorithm is adopted, including a hybrid initialization strategy, a dual repair mechanism, and dynamic penalty evaluation. The initial population is generated through K-Means clustering, nearest neighbor heuristic, and minimum spanning tree heuristic strategy. Through conventional repair and intelligent repair collaborative optimization, combined with dynamic penalty evaluation, the topology scheme is ensured to meet engineering constraints and minimize costs.

Benefits of technology

It significantly improves the efficiency and quality of topology optimization for photovoltaic power plant collection systems, shortens convergence time, generates high-quality topology schemes that meet actual engineering needs, reduces investment costs, and improves the robustness and economy of the algorithm.

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Abstract

The invention provides a photovoltaic power station current collection system topology optimization method and system based on a three-section optimization genetic algorithm, and relates to the field of photovoltaic systems and intelligent power grids, the method comprises the steps that basic data of a photovoltaic power station current collection system are acquired, and the photovoltaic power station current collection system comprises a booster station and a plurality of box-type transformers; through a hybrid initialization strategy, a population is initialized based on basic data of a photovoltaic power station current collection system; the genetic manipulation, the double repair mechanism and the dynamic penalty evaluation are repeatedly and sequentially executed, and population updating is conducted till preset conditions are met; the photovoltaic power station current collection system topology optimization method has the advantages that the efficiency and the quality of photovoltaic power station current collection system topology optimization are improved.
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