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文章摘要
计及地理环境因素的输电通道路径优化与扩展研究
Research on path optimization and extension of transmission channel considering geographical environment factors
Received:March 05, 2019  Revised:March 20, 2019
DOI:10.19753/j.issn1001-1390.2020.14.003
中文关键词: 输电路径优化  地理环境因素  经济性
英文关键词: transmission  path optimization, geographical  environmental factors, economy
基金项目:国家电网公司科技项目(52199918000C)
Author NameAffiliationE-mail
Zhou Cheng School of Electrical Engineering,Southeast University 220172740@seu.edu.cn 
Zheng Jianyong* School of Electrical Engineering,Southeast University zhengjy_seu@163.com 
Han Wenjun State Grid Economic and Technological Research Institute Co,Ltd hanwenjun730@163.com 
Miao Huiyu School of Electrical Engineering,Southeast University mhy_seu@163.com 
Shi Tian School of Electrical Engineering,Southeast University 514997308@qq.com 
Zhang Su State Grid Economic and Technological Research Institute Co,Ltd zhangsu615@163.com 
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中文摘要:
      传统输电网规划中一般由规划设计人员凭经验给出初选方案,然后通过技术、经济比较选出最佳方案。然而,由于复杂的地理环境因素的影响,优选方案不可避免地包含局限性和人为因素,方案评估工作进行较为困难。文中将输电通道扩展与路径设计相结合,分析施工条件、地形地质条件等地理环境因素对路径规划的影响,建立了输电通道规划双层运行优化模型,顶层模型以输电规划经济性为目标,底层模型以线路地理环境总成本为目标进行输电通道路径优化,并将底层优化得到的待选线路集返回顶层模型进行输电网络规划,结合遗传算法实现模型求解。最后针对修改后的Garver-6节点系统进行仿真分析,结果表明利用本文所提的方法得到的输电通道规划方案可以有效适应工程现场实际,保障输电网络的经济效益。
英文摘要:
      In the traditional transmission network planning, the primary selection scheme is generally provided by professionals. Determine the best solution through technical and economic comparison. Combining transmission channel expansion and path design, this paper established a double-layer operation optimization model for transmission channel planning, and considering the influence of geographical conditions such as construction conditions and topographic geological conditions on path planning. The top-level model aims at the economics of transmission planning, and the underlying model optimizes the transmission path by targeting the total cost of the geographic environment. The selected line set obtained by the bottom layer optimization returns to the top layer model for transmission network planning, and the genetic algorithm is used to solve the model. Finally, the simulation analysis of the modified Garver-6 node system shows that the transmission channel planning scheme obtained by the method proposed in this paper can effectively adapt to the actual situation of the project site and ensure the economic benefits of the transmission network.
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