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文章摘要
计及煤改电的华北农村地区配电网改扩建规划研究
Study on distribution network expansion planning in rural area of north China considering coal-to-electricity conversion
Received:February 26, 2020  Revised:July 22, 2022
DOI:10.19753/j.issn1001-1390.2023.09.018
中文关键词: 煤改电  配电网改扩建规划  遗传算法  全寿命周期成本
英文关键词: coal-to-electricity, distribution network expansion planning, genetic algorithm, life cycle cost
基金项目:
Author NameAffiliationE-mail
Shao Chen School of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, Hebei, China 905372699@qq.com 
Chen Li* School of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, Hebei, China chenli1st@163.com 
Zhang Jingping State Grid Cangzhou Power Supply Company, Cangzhou 061000, Hebei, China jingpingzhang2005@163.com 
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中文摘要:
      “十三五”以来,京津冀地区大力推进“煤改电”,稳步推进电能替代进程。随着用电负荷的增加,农村低压配电网如何进行改扩建规划成为一个问题。文中考虑配电变压器成本、配电线路成本、系统线损成本,建立了基于全寿命周期成本的配电网改扩建规划模型,采用遗传算法进行了模型求解。结合配电网规划模型求解特点,设计了基于实数编码的策略,显著提高了平行解生成效率,某农村实际配电网规划为算例进行了验证。结果表明,所提方法在满足煤改电负荷需求的前提下,实现了规划方案全寿命周期经济性最优。
英文摘要:
      Since the 13th five-year plan, the Beijing-Tianjin-Hebei region has vigorously promoted the policy of "coal-to-electricity" and steadily promoted the process of electric energy substitution. With the increase of electricity load, how to carry out reconstruction and expansion planning of rural low-voltage distribution network becomes a problem. Considering distribution transformer cost, distribution line cost and system line loss cost, a distribution network expansion planning model based on life cycle cost is established and solved by genetic algorithm. According to the characteristics of distribution network planning model, a strategy based 〖JP4〗on real number coding is designed to improve the efficiency of parallel solution generation. Finally, an actual rural distribution network planning is taken as an example to verify the results. The results show that the proposed method achieves the life cycle economic optimization of the planning scheme on the premise of meeting the demand of coal-to-electricity load.
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