提出了一种在互联电力系统中考虑信息结构约束条件下协调设计非线性优化励磁控制的方法。
This paper proposes an approach to coordinated design of nonlinear optimal excitation control under information structure constraint in interconnected power systems.
本文讨论如何用贪心算法进行电力系统数据通信网优化设计。
Using the Greedy Algorithm, this paper presents a new optimal method for designing digital communication networks in power systems.
通过对IEEE-30节点系统的计算表明，本文所设计的禁忌遗传算法对于电力系统无功优化问题来说，是正确而有效的。
The computing results against the IEEE 30-node system prove that the method of reactive power optimization based on TSGA proposed in this paper is right and effective.
通过对IEEE-30节点系统的计算表明，本文所设计的禁忌遗传算法对于电力系统无功优化问题来说，是正确而有效的。
The computing results against the IEEE 30-node system prove that the method of reactive power optimization based on TSGA proposed in this paper is right and effective.
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