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研究生: 戴上淳
DAI,SHANG-CHUN
論文名稱: 儲能系統之最佳化動態響應模型參數擬合與驗證
Fitting and Verification for Optimization Dynamic Response Model Parameters of Energy Storage Systems
指導教授: 郭政謙
Cheng-Chien Kuo
口試委員: 張宏展
Hong-Chan Chang
陳鴻誠
Hong-Cheng Chen
張建國
Chien-Kuo Chang
黃維澤
Wei-Tzer Huang
郭政謙
Cheng-Chien Kuo
學位類別: 碩士
Master
系所名稱: 電資學院 - 電機工程系
Department of Electrical Engineering
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 81
中文關鍵詞: 再生能源儲能系統模型最佳化演算法曲線擬合電力轉換系統
外文關鍵詞: Renewable energy, Model of energy storage system, Optimization algorithm, Curve fitting, Power conversion system
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近幾年環保意識崛起、對再生能源的發展也持續進行。目前最主流的再生能源為太陽光電以及風力發電,都是將自然現象轉換成電能使用。但這些自然資源有嚴重的間歇性問題,遮蔭以及氣壓會影響太陽光電與風力發電的輸出能量,若未來再生能源滲占比持續上升,對電力系統穩定度及可靠度造成嚴重的影響,屆時國家的工商業發展甚至是國防安全都會面臨嚴峻的挑戰。現今常見用來改善再生能源間歇性問題的方法主要是利用儲能系統穩定系統供需。
本論文根據台灣某能源廠商之PCS(Power Conversion System)輸出能力測試報告建立該儲能系統之模型。由於儲能系統併入電網前都須經過電業使用電力系統模擬軟體進行可行性評估,而這類軟體包含PSS/E、DIgSILENT、DSATools等,裡面儲能系統採用WECC(Western Electricity Coordinating Council) 定義之儲能系統通用模型。有鑒於此,本文認為找出能反應實際儲能系統響應之通用模型參數,與直接重新建立設備之精確模型更加快速便捷。通用模型會針對當前應用場合,利用關鍵參數識別對儲能系統模型進行一定程度的簡化,減少後續計算量。再使用IPSO、IGA甚至混和兩者的最佳化演算法找尋最合適的模型參數。建立儲能系統模型設定流程,增加電業模擬評估的可靠度。


Recently, awareness of environmental friendly is rising. Development of renewable energy also received attention from many countries. The mainstream of renewable energy include solar energy and wind energy. However the intermittence of these natural resources will decrease the reliability and stability of power system when the penetration of renewable energy increase. Economy of a country will be destroyed if electrical power supplied unstable.
Using energy storage system with solar and wind energy can overcome this issue. It can absorb energy when power generation more than demand, and release when power consumption more than supply. According to regulation made by utilities in each country, facilities which will be connected to the power grid should be assessed how they influence the power grid. The power system simulation software likes PSS/E、DIgSILENT and DSATools are widely used by the utilities. And the default models in these software are defined by WECC(Western Electricity Coordinating Council). Improper parameters will let the estimation result isn’t informative, and the utilities may make wrong decision.
To avoid this problem, this study design the process to find the suitable parameters for real energy storage system. Using model created by WECC and reduced it according the application condition to decrease the burden of optimization process.

摘要 iii Abstract iv 致謝 v 目錄 vi 圖目錄 viii 表目錄 x 第一章 緒論 1 1.1 研究背景與動機 1 1.2 文獻回顧 3 1.3 研究方法 5 1.4 章節概述 6 第二章 儲能系統運用模型介紹與建立 8 2.1 前言 8 2.2 WECC儲能系統通用模型介紹 8 2.3 WECC儲能系統通用模型建立 18 2.4 小結 23 第三章 關鍵參數識別及最佳化演算法介紹 24 3.1 關鍵參數識別 25 3.2 改良粒子群最佳化演算法(Improved Particle Swarm Optimization, IPSO) 29 3.3 改良基因演算法(Improved Genetic Algorithm, IGA) 34 3.4 目標函數 37 3.5 小結 38 第四章 最佳化參數搜尋與分析 42 4.1 演算法之間能力比較 42 4.2 關鍵參數識別 48 4.3 導入最佳化演算法之儲能系統通用模型建立之結果 52 4.4 儲能系統通用模型──Simulink V.S. PSS/E 62 4.5 小結 66 第五章 結論與未來研究方向 67 5.1 結論 67 5.2 未來研究方向 67 參考文獻 69

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