基于重复遗传算法和数据预测的无功优化

2013 15th International Conference on Advanced Computing Technologies (ICACT) Pub Date : 2013-09-01 DOI:10.1109/ICACT.2013.6710533

H. Jayatheertha, J. Yadagiri

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引用次数: 1

摘要

本文给出了用重复遗传算法求解无功优化的3000个解。目标函数是使负载母线上的电压偏差最小化，控制动作是发电机励磁、电容器开关和分接变压器的变化。对IEEE30总线系统进行了测试数据并在MATLAB上进行了仿真。给出了一种新的数据预测算法。

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Reactive power optimization using repeated genetic algorithm and data prediction

This paper gives 3000 solutions for reactive power optimization using repeated genetic algorithm. The objective function is minimization of voltage deviations at load buses and the control actions are changes in generator excitations, capacitor switching and tap changing transformers. IEEE30 bus system is the test data and simulated on MATLAB. New data prediction algorithm is given.

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2013 15th International Conference on Advanced Computing Technologies (ICACT)

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