Research on target grid investment optimization technology of medium- and low-voltage distribution network based on improved genetic algorithm

N. Yu, Ming Chen, Y. Wu
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Abstract

With the continuous improvement of the electricity demand of the whole society in China and the complexity of power grid network planning and construction, how to further optimize the structure of low voltage distribution network and improve the investment efficiency and efficiency of distribution network planning has become one of the important topics facing the operation and development of power grid enterprises. This paper analyzes the current situation and problems of medium and low voltage distribution network construction in a region of GD province, combines with the relevant principles of improved genetic algorithm, optimizes the investment and construction of medium and low voltage distribution network construction in this region, and verifies the effectiveness of the model method.
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基于改进遗传算法的中低压配电网目标网投资优化技术研究
随着中国全社会用电需求的不断提高和电网规划建设的复杂性,如何进一步优化低压配电网结构,提高配电网规划的投资效率和效益,已成为电网企业经营发展面临的重要课题之一。本文分析了广东省某地区中低压配电网建设的现状及存在的问题,结合改进遗传算法的相关原理,对该地区中低压配电网建设的投资和建设进行了优化,并验证了模型方法的有效性。
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