基於神經網路與智能優化之電力系統電壓穩定度預防控制

Preventive Control For Power System Voltage Stability Based on Neural Networks and Intelligent Optimisations

葉恆志(Heng-Zhi Ye)

指導教授 ： 林堉仁

義守大學/電機資訊學院/電機工程學系/碩士(2018年)

摘要

本論文針對電力系統電壓穩定度，開發了電壓穩定度預防控制方法。電壓穩定度可以看作是電力系統維持電壓穩定的能力，隨著接入電力系統的負載量增加時，系統電壓會隨之降低；如果持續的增加負載量，系統電壓將會持續降低，可能降低至系統可接受的電壓範圍之外，造成電壓崩潰。電力系統可接入的負載裕度，可看作是衡量電力系統維持電壓穩定的能力。本文提出的電壓穩定度預防控制方法是通過提高系統負載餘裕，以提升電力系統電壓穩定度。
本論文在開發預防電壓穩定度的控制方法時，為方便論文後續說明與實驗設計，將系統負載裕度記作電壓穩定度裕度，並通過兩個階段的實驗設計以提高電壓穩定度餘裕。階段一，利用人工神經網路方法來構建電壓穩定度的數學模型，神經網路數學模型的輸入是電力系統中可人為控制的變數，網路輸出是電壓穩定度裕度。在階段二中，利用智能優化法搜索出使神經網路數學模型輸出值最大的最優輸入，搜索過程相當於是在搜索出能夠使電壓穩定度裕度最大的系統可控制變數。如此一來，再通過調整電力系統初始控制量，提高電壓穩定度裕度，就可完成對電力系統電壓穩定度的預防控制。

關鍵字

電壓穩定度 ； 人工神經網路 ； 智能優化 ； 預防控制

並列摘要

This thesis develops preventive control for power system for voltage stability enhancement. Voltage stability refers to power system’s ability to sustain voltage. When power system load demands increase, system voltages shall drop. If load demands keep increasing, power system voltages continue to drop, and might cause voltage collapse eventually. A common index to measure power system voltage stability is loading margin. Control actions that can enlarge loading margin prior to voltage collapse are regarded as power system preventive controls.
This thesis develops preventive controls through two stages. In stage one, neural networks are used to establish a mathematical function which models power system voltage stability. Input variables of the established mathematical function are the power system controllable variables, while the output variable is power system loading margin.In stage two, genetic algorithms are used to search input variables that can maximize the established mathematical function’s output. Those input variables that can maximise established mathematical function’s output actually represent the control actions that are able to conduct larger loading margin. Consequently, preventive controls for power system voltage stability enhancement would have been developed.

並列關鍵字

voltage stability ； neural networks ； intelligent optimisations ； Preventive control

參考文獻

[1]http://news.sina.com.cn/o/2005-05-26/06305990535s.shtml

[2]https://zh.wikipedia.org/wiki/2008%E5%B9%B4%E4%B8%AD%E5%9B%BD%E9%9B%AA%E7%81%BE

[3]http://news.bjx.com.cn/html/20180326/887786.shtml

[4]IEEE TF Report. Proposed terms and definitions for power system stability．IEEE Trans on Power Apparatus and Systems，1982，PAS-101(7)：1894–1897

[5]IEEE/CIGRE joint task force on stability terms and definitions. Definition and classification of power system stability. IEEE Trans.on Power Systems, 2004, 19(2): 1387-1401.