| 引用本文: | 陈鹏浩,李慧璇,李 锰,等.基于改进人工蜂群算法的直流配电网典型应用场景
拓扑结构研究[J].电力系统保护与控制,2021,49(3):57-63.[点击复制] |
| CHEN Penghao,LI Huixuan,LI Meng,et al.Research on the topological structure of typical application scenarios of a DC distribution network based on improved artificial bee colony algorithm[J].Power System Protection and Control,2021,49(3):57-63[点击复制] |
|
| 本文已被：浏览 6036次 下载 1445次 |
码上扫一扫！ |
| 基于改进人工蜂群算法的直流配电网典型应用场景
拓扑结构研究 |
| 陈鹏浩,李慧璇,李锰,王利利,吕盈睿,张天东,李雪松,尹杰,胡钋 |
|
|
| (1.国网河南省电力公司，河南 郑州 450000;2.国网河南省电力公司经济技术研究院，河南 郑州 450052;
3.武汉大学电气与自动化学院，湖北 武汉 430072) |
|
| 摘要: |
| 为了解决直流配电网规划中场景针对性不强的问题，给出了不同场景下直流配电网的网络拓扑结构规划方案。将直流配电网应用场景分为居民住宅区、工业园区和新能源集结区，考虑不同应用场景的特点，利用层次分析法提出一种新的可靠性指标计算方法。结合变权的思想，综合考虑电网的经济性和可靠性，给出了直流配电网的规划模型。利用由最大最小积改进的人工蜂群算法，以IEEE标准14节点电路为对象，对三种场景下的规划模型进行寻优，并利用griewank函数对比了改进前后算法的性能。仿真结果表明，所得线路规划方案满足各场景要求，改进后的蜂群算法收敛速度和精度均有提升。所提方法可为直流配电网规划提供参考。 |
| 关键词: 直流配电网 拓扑结构 应用场景 人工蜂群算法 网络规划 |
| DOI：DOI: 10.19783/j.cnki.pspc.200393 |
| 投稿时间：2020-04-14修订日期：2020-08-09 |
| 基金项目:国家自然科学基金项目资助(51777142)；国网河南省电力公司科技项目资助(5217L018000N) |
|
| Research on the topological structure of typical application scenarios of a DC distribution network based on improved artificial bee colony algorithm |
| CHEN Penghao,LI Huixuan,LI Meng,WANG Lili,LÜ Yingrui,ZHANG Tiandong,LI Xuesong,YIN Jie,HU Po |
| (1. State Grid Henan Electric Power Company, Zhengzhou 450000, China; 2. State Grid Henan Economic Research Institute,
Zhengzhou 450052, China; 3. School of Engineering and Automation, Wuhan University, Wuhan 430072, China) |
| Abstract: |
| In order to solve the problem that the scenario of a DC distribution network planning is not well targeted, the network topology planning scheme of a DC distribution network in different scenarios is proposed. The application scenarios of a DC power grid are divided into residential areas, industrial parks and new energy concentration areas. For different application scenarios, a new reliability index calculation method is proposed using AHP. Combined with the idea of variable weight and considering the economy and reliability of a power grid comprehensively, the planning model of a DC power grid planning is developed. Using the improved artificial bee colony algorithm of maximum and minimum product, taking IEEE standard 14 node circuit as the object, this paper optimizes the planning model in three scenarios, and compares the performance of the algorithm before and after the improvement with the griewank function. The simulation results show that the route planning scheme meets the requirements of each scene, and the convergence speed and accuracy of the improved bee colony algorithm are enhanced. The method proposed in this paper can provide a reference for DC distribution network planning.
This work is supported by the National Natural Science Foundation of China (No. 51777142) and the Science and Technology Project of State Grid Henan Electric Power Company (No. 5217L018000N). |
| Key words: DC distribution network topology application scenario artificial bee colony algorithm network planning |
