Implementation of intelligent AGC in PSAT for optimal use in Smart Grids
Implementation of intelligent AGC in PSAT for optimal use in Smart Grids
复制标题
在 PSAT 中实施智能 AGC，以实现智能电网的最佳使用
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Akif Zia Khan
中科院分区：
文献类型：
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作者：
S. Malik;Sun Ying;Akif Zia Khan
随着智能电网在全球范围内的发展，人们一直在努力优化智能电网在当前电力系统中的作用。可再生能源与电网的整合是一个巨大的挑战，因为它们是间歇性的，并且不断变化，导致频率波动。自动发电控制（AGC）通过保持频率接近标称值并维持发电和需求之间的平衡来解决这个问题。AGC已在各种软件中作为附加功能实现。电力系统分析工具（PSAT）是一个MATLAB工具箱，设计用于潮流计算，但它缺乏AGC的实现。本文介绍了采用人工神经网络（ANN）控制器和PID控制器在PSAT上实现AGC的方法。在IEEE 14节点PSAT系统上实现了AGC的设计。并对神经网络控制器和PID控制器进行了比较。结果表明成功地将AGC添加到PSAT库中。该AGC设计有助于频率控制，具有较高的性能，可推广到其他电力系统。
With the development of Smart Grids worldwide, efforts have been focused on optimizing the role of Smart Grid in the present electrical system. The integration of renewable energy resources to the grid presents a great challenge since they are intermittent and vary constantly causing frequency fluctuations. Automatic Generation Control (AGC) solves this problem by keeping the frequency close to nominal value and maintaining the balance between generation and demand. AGC has been implemented in various softwares as an added functionality. Power Systems Analysis Toolbox (PSAT) is a MATLAB toolbox designed for power flow computations but it lacks AGC implementation. This paper presents AGC implementation on PSAT using Artificial Neural Networks (ANN) controller and PID controller. The goal is to optimize PSAT by adding extra functionalities to it. The AGC design is implemented on IEEE 14-bus system on PSAT. A comparison of ANN controller and PID controller is also presented. The results show successful addition of AGC to PSAT library. The AGC design helps to control the frequency, has high performance and can be extended to other power systems.