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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 劉志文 | |
| dc.contributor.author | Lei Hsia | en |
| dc.contributor.author | 夏磊 | zh_TW |
| dc.date.accessioned | 2021-06-08T04:03:32Z | - |
| dc.date.copyright | 2018-08-03 | |
| dc.date.issued | 2018 | |
| dc.date.submitted | 2018-08-02 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/22119 | - |
| dc.description.abstract | 電力系統頻率，是電力系統電能質量的三大性能指標之一。頻率穩定是對電力系統運行的基本要求，其前提是發電與負載及電網損耗功率的相互匹配。如何根據電力系統負載變化，隨時調整發電機出力來適應負載變動需求，這是自動發電控制所需解決的問題。
針對互聯電力系統具有時變、非線性、大滯後、不確定性等特性，常規的PID控制器無法達到較好的控制效果，為提高對複雜系統的控制性能，本文設計基於模糊控制的自適應PID控制器系統，並於傳統PID控制器進行比較。模擬結果顯示：在互聯電力系統中，自適應模糊PID控制器提高了系統的動、靜態特性，使系統獲得了較佳的性能，提高了系統的控制性能指標。之後又使用粒子群尋優演算法來獲取PID控制參數的最佳值，通過觀察兩區域頻率和聯絡線交換功率變化等動態響應情況，證明該方法的可行性和優越性。 | zh_TW |
| dc.description.abstract | The power system frequency is one of the three performance indicators of the power system operating quality. Frequency stability is the basic requirement for the operation of the power system. The premise is that the power generation and load including the power loss of the network match each other. According to the load changes of the power system, how to adjust the output of the generator at any time to meet the requirements of the load changes is a problem solved by the automatic generation control.
The interconnected power system has time-varying, nonlinear, large delay, uncertainty and other characteristics. The conventional PID controller can not achieve excellent control performance. In order to improve the control performance of the complex system, this thesis designs the adaptive PID controller based on fuzzy control. Comparing with the conventional PID controller, the simulation results show that: in the interconnected power system, the adaptive PID controller based on fuzzy control improves the dynamic and static characteristics of the system. Afterwards, we use the particle swarm optimization algorithm to obtain the best value of the PID control parameters. Through observing the dynamic response conditions such as the frequency of the two regions and the change of the exchange power of the connection lines, we can prove the feasibility and superiority of the method. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T04:03:32Z (GMT). No. of bitstreams: 1 ntu-107-R05921098-1.pdf: 7442341 bytes, checksum: 27e90197275486eff8e691737458e7e4 (MD5) Previous issue date: 2018 | en |
| dc.description.tableofcontents | 摘要 I
ABSTRACT II 目錄 III 圖目錄 V 表目錄 VIII 第一章 緒論 1 1.1 研究背景 1 1.2 文獻回顧 2 1.2.1 AGC應用研究狀況 2 1.2.2 AGC學術研究狀況 4 1.3 研究目的與方法 5 1.4 論文大綱 7 第二章 自動發電控制的基本原理及系統模型 8 2.1 電力系統頻率調節的基本概念 8 2.1.1 一次調頻 8 2.1.2 二次調頻 11 2.1.3 三次調頻 13 2.2 自動發電控制的基本原理及結構 14 2.2.1 自動發電控制的概述 14 2.2.2 互聯電力系統的自動發電控制 16 2.3 互聯電力系統的系統模型 18 2.3.1 互聯電力系統各環節模型 18 2.3.2 互聯電力系統AGC模型 20 第三章 模糊控制理論及AGC模糊控制器的設計 22 3.1 經典PID控制器 22 3.1.1 PID控制器的原理 22 3.1.2 PID控制器系統性能評價指標 24 3.1.3 PID控制器參數整定方法 25 3.2 模糊控制理論 28 3.2.1 模糊控制理論概述 28 3.2.2 模糊控制器組成及設計 31 3.3 自適應模糊PID控制器的設計 38 3.3.1 自適應模糊PID控制器的原理 38 3.3.2 控制器輸入變數和輸出變數的確定和模糊化 38 3.3.3 設計控制器的控制規則及解模糊化計算 41 3.4 基於MATLAB的模擬及分析 46 第四章 基於PSO演算法的PID控制器參數預測 59 4.1 粒子群演算法理論 59 4.2 PSO演算法尋找PID最優參數 64 第五章 結論與展望 77 參考文獻 79 | |
| dc.language.iso | zh-TW | |
| dc.subject | 自動發電控制 | zh_TW |
| dc.subject | 互聯電力系統 | zh_TW |
| dc.subject | 粒子群尋優演算法 | zh_TW |
| dc.subject | 模糊自適應PID控制 | zh_TW |
| dc.subject | Interconnected Power System | en |
| dc.subject | Automatic Generation Control | en |
| dc.subject | Fuzzy Adaptive PID Control | en |
| dc.subject | Particle Swarm Optimization Algorithm | en |
| dc.title | 互聯電力系統AGC控制器參數之研究 | zh_TW |
| dc.title | Research of AGC Control in Interconnected Power System | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 106-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張簡樂仁,黃世杰,朱家齊,張文恭 | |
| dc.subject.keyword | 互聯電力系統,自動發電控制,模糊自適應PID控制,粒子群尋優演算法, | zh_TW |
| dc.subject.keyword | Interconnected Power System,Automatic Generation Control,Fuzzy Adaptive PID Control,Particle Swarm Optimization Algorithm, | en |
| dc.relation.page | 81 | |
| dc.identifier.doi | 10.6342/NTU201802409 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2018-08-02 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
| 顯示於系所單位： | 電機工程學系 | |
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