Power Distribution Network Optimization Planning is a complicated nonlinear optimizing combination problem.
配电网规划是一个复杂的非线性组合优化问题。
In this thesis, a research has been made on the reactive power distribution network optimization based on the improved artificial fish swarm algorithm, and achieved satisfactory results.
论文研究了基于改进的人工鱼群算法的配电网的无功优化,取得了满意的效果。
Calculation results indicated that the multi-objectives optimization method and application software were helpful to raise the level of distribution network reactive power flow optimization.
计算结果表明,这种多目标无功优化方法及应用软件有利于提高配电网的无功优化水平。
Secondly, a load-transfer optimization model considering both DG output and distribution network reconfiguration was proposed, aiming at reducing comprehensive costs for power company.
其次,提出负荷转供优化模型,综合考虑了DG 发电和配网重构来降低供电企业综合负荷转供成本;
The reactive power compensation ranges are obtained by the physical constraints of the distribution network, and thus the initialization and evolution are restricted to a reduced optimization space.
利用配电网络物理规则求得投切点无功补偿容量调节范围,用于约束解的产生和进化,缩小寻优空间。
Optimization of load distribution among the various generating sets in big power plants for making both the network and the plants get the best economic return has become their common goal.
在机组之间合理的优化分配负荷能够提高整个电厂运行的经济性。
Reactive power optimization of distribution network has been studied in this paper, taking maximum synthetical economic benefit as objective function.
本文以综合经济效益最大为目标函数,对配电网无功优化方法进行了研究。
The reactive power optimization is formulated based on genetic algorithms (GA) in distribution network.
遗传算法是近年被广泛应用于配电网无功优化的一种新型的优化算法。
By building an appropriate model, the fault location in power distribution network based on the fault overcurrents is transformed into a nonlinear global optimization problem.
通过建立适当的数学模型,基于故障过电流的配电网故障定位变为一种非线性全局寻优问题。
The economic objective function and security objective function is combined to improve the established optimization models of reactive power distribution network.
在已建立的配电网无功优化的模型基础上对其进行了改进,将经济性目标函数和安全性目标函数相结合。
The math model of reactive power optimization for distribution network is briefly introduced, which applies the adaptive differential evolution algorithm. Case calculation shows its good effect.
简要介绍了配电网无功优化的数学模型,并采用自适应的微分进化算法作为无功优化算法,算例结果表明该软件应用效果良好。
This paper presents an integrated mixed-integer/nonlinear dynamic reactive-power optimization model and algorithm for power distribution network.
提出了一种完整的配电网络非线性混合整数动态无功优化模型及数学优化算法。
This paper presents an integrated mixed-integer/nonlinear dynamic reactive-power optimization model and algorithm for power distribution network.
提出了一种完整的配电网络非线性混合整数动态无功优化模型及数学优化算法。
应用推荐