1) substation locating and sizing
变电站选址定容
1.
A new intelligent algorithm, refined multi-team particle swarm optimization algorithm (RMPSO), is presented to handle optimal substation locating and sizing problem.
提出了一种改进的多组织粒子群优化算法(RMPSO)来解决配电网络变电站选址定容问题。
2.
Optimal planning for substation locating and sizing is an important part of the power system planning which is between Load forecasting and network optimization.
变电站选址定容优化规划是电力系统规划工作中的重要环节,是衔接负荷预测和网络优化的中间部分,变电站的位置直接影响着未来电力系统的网络结构、馈线系统、供电质量和运行经济性,对整个配电网的建设有重大影响。
3.
The substation locating and sizing and the distribution network planning both are important and difficult of the power system planning.
变电站选址定容和配电网网架规划是配电网络规划中的重点和难点工作,对其进行优化规划可大大提高整体电网运行的可靠性、经济性和安全性。
3) substation locating
变电站选址
1.
Optimal planning of substation locating based on improved PSO algorithm;
基于改进粒子群算法的变电站选址规划
2.
500 kV substation locating based on fuzzy comprehensive evaluation;
基于模糊综合评判的500kV变电站选址决策
3.
Application of data fusion technology in substation locating;
数据融合技术在变电站选址中的应用
4) substation location
变电站选址
1.
This paper presents an improved automatic method of substation location by analyzing a lot of literature on this subject.
在分析国内外变电站选址文献的基础上提出了一种改进型变电站自动选址方法,该方法以地理信息系统(GIS)为数据操作平台,在自动选址模型中提出了一种对城市受地理环境约束的负荷区域进行优先处理的方法,该方法免去了传统选址方法中后期对受约束区的繁琐处理过程,提高了变电站选址模型的自动化选址程度,同时考虑了专家意见对选址方案的影响。
2.
A trial study combined with the power network of Doumen county in Zhuhai is carried out, and the application using VB5 0 and GIS platform is explored, the substation location and optimal path for rural power distribution system is realized.
0和 GIS软件进行了农村电网规划应用程序的开发 ,实现了农村电网的变电站选址以及路径优化。
3.
A modified differential evolution (MDE) algorithm is introduced to solve the problems of substation location optimization based on GIS.
在选址模型中考虑了地理因素对投资费用的影响,并综合考虑了农网特点和其所处的复杂地理环境和对变电站选址的影响,使结果更具科学性和可行性。
5) the site selection of newly-increased substations
新增变电站选址
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