2) 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 optimal planning
变电站优化规划
1.
In substation optimal planning, the number, site, capacity and service regions of the new substations are t.
城市配电网规划中,将进行负荷预测、变电站选址与定容、配电网络规划和无功优化等各项工作,其中在负荷预测基础上进行的变电站优化规划,是一项复杂而重要的工作,也是必要的环节。
5) optimization of the electricity substation location and capacity
站址和站容优化
6) 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
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