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研究生:張博凱
研究生(外文):ZHANG, BO-KAI
論文名稱:兩種應用於分散式能源系統之 能源管理控制策略
論文名稱(外文):Two Energy management Control Strategies for Distributed Energy System
指導教授:吳毓恩
指導教授(外文):WU, YU-EN
口試委員:鄭竣安吳毓恩陳銘志林志學
口試委員(外文):CHENG, CHUN-ANWU, YU-ENCHEN, MING-CHIHLIN, CHIH-HSUEH
口試日期:2023-07-04
學位類別:碩士
校院名稱:國立高雄科技大學
系所名稱:電子工程系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2023
畢業學年度:111
語文別:中文
論文頁數:90
中文關鍵詞:分散式電網能源管理系統微電網
外文關鍵詞:Decentralized gridEnergy Management SystemMicrogrid
相關次數:
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本文提出兩種應用於分散式系統之能源管理控制策略;電力規格最佳化及電力買賣最佳化。先透過MATLAB/Simulink建構出分散式能源系統模型;其包含光伏發電系統、風力發電系統、儲能系統與負載,藉由EMS控制策略依照春、夏、秋、冬四個季節不同的需求去建立模擬模型,搭配台電的電力價格與電力躉購價格調整電網的電力買賣狀況。電力規格最佳化利用日間綠色能源最佳發電時刻為負載供電,同時對儲能系統充電,以將過多的綠色能源能妥善運用在其他時段,使其他時段能減少使用市電端的電力來為負載提供電力。電力買賣最佳化為配合尖離峰時段的電力價格及電力躉購價格來有效調度分散式電網內的電力使用,利用電力價格價差來達到賣電金額最大化的效果。兩種控制策略都各有它的優勢存在,電力規格最佳化的調控機制能輕易的滿足使用者的需求,且不需反覆充放電導致儲能裝置壽命縮短。電力買賣最佳化機制則是讓使用者收益最大化,利用離峰時間對儲能系統進行充電,使儲能電池的電量能長時間維持在一定備載容量。
In this thesis, two energy management control strategies for distributed systems are proposed: power specification optimization and power trading optimization. First, use MATLAB/Simulink to build a distributed energy system model; including photovoltaic power generation system, wind power generation system, energy storage system and house load. Adopt the EMS control strategy, establish a simulation model according to the different needs of the four seasons of spring, summer, autumn, and winter, and adjust the electricity purchase and sale grid by the electricity price of Taiwan power and the grid electricity price. Power specification optimization utilizes the best power generation time of green energy during the day to supply power to the load, and at the same time charge the energy storage system, so that the excess green energy can be properly utilized at other times. The optimization of electricity trading is to coordinate the off-season electricity price and the electricity price for bulk purchase of electricity, effectively dispatch the electricity consumption of the decentralized power grid, and use the electricity price difference to maximize electricity sales. Both control strategies have their advantages. The control mechanism of optimized power specifications can quickly meet the needs of users without shortening the life of the energy storage device due to repeated charging and discharging. The best mechanism of electricity trading is to maximize users' interests and use off-peak hours to charge the energy storage system so that the energy storage battery can maintain a certain reserve capacity for a long time.
摘 要
誌 謝
目 錄
圖目錄
表目錄
第1章 緒論
1.1研究背景與動機
1.2文獻探討
1.3章節概述
第2章 分散式電網系統介紹
2.1光伏發電系統
2.1.1 光伏電池特性介紹
2.1.2 光伏電池等效電路
2.1.3 光伏電池最大功率追蹤
2.1.4 光伏系統架構類型
2.2風力發電系統
2.2.1風力發電系統原理
2.2.2風力發電最大功率追蹤
2.2.3風力發電機類型
2.3儲能供電系統
2.4逆變器原理
2.5用電價格分析
第3章 模擬技術簡介與模擬軟體介面說明
3.1模擬技術說明
3.2 MATLAB概要與程式介面說明
3.3 Simulink控制介面說明
第4章 能源管理系統模型建立之架構說明
4.1分散式能源模型建立
4.1.1光伏系統模型
4.1.2風電系統模型
4.1.3儲能系統模型
4.2能源管理系統機制說明
4.3能源管理系統機制比較說明
第5章 能源管理系統模型實驗結果
5.1系統模型實驗結果
5.2系統模型實驗結果比較
第6章 結論與未來探討
6.1結論
6.2未來方向討論
參考文獻


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