考量環境污染因子情境下基於粒子群優法為基礎之微電網最佳化能源管理系統

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姓名

呂睿紘(Jui-Hung Lu) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

考量環境污染因子情境下基於粒子群優法為基礎之微電網最佳化能源管理系統
(Optimial Energy Management System Based on Particle Swarm Optimization for Microgrid by Considering Environmental pollution Factor)

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至系統瀏覽論文 ( 永不開放)

摘要(中)

由於近年全球暖化嚴重以及原油、煤等石化燃料短缺，政府也正
積極推行將再生能源結合微電網。然而再生能源的不穩定性使其運用
始終存在著調度上的疑慮，需搭配電池儲能系統才能有效的解決此問
題，使儲能設備成為再生能源的標準配備。同時意味著微電網需應付
各種運轉情境、天氣、電力事件等應變能力，使得控制策略尤為重要，
進而增加能源的使用效率，並穩定輸出給負載。本文整合太陽能發電、
儲能系統及燃料電池之微電網，基於電池剩餘電量及太陽能發電來做
為能源調度的基準，控制發電機和儲能系統之電力調度透過本文提出
之能源管理，因應不同的再生能源發電量、發電成本與需量進行最佳
化功率分配，有效提升能源的使用效率，並達到用電成本最小化之目
標。

摘要(英)

Due to the severe global warming and the shortage of fossil fuels such as crude oil and coal in recent years, the government is also actively promoting the integration of renewable energy with microgrids. However, the instability of renewable energy makes its use always have scheduling doubts. It needs to be equipped with a battery energy storage system to effectively solve this problem and make energy storage equipment a standard equipment for renewable energy. At the same time, it means that the microgrid needs to cope with various operating scenarios, weather, power events and other emergency capabilities, making the control strategy particularly important, thereby increasing the efficiency of energy use and stably outputting to the load. This article integrates solar power generation, energy storage system and fuel cell microgrid, based on the remaining battery power and solar power generation as the benchmark for energy dispatch, and controls the power dispatch of generators and energy storage systems through the energy management proposed in this article, in response to different Renewable energy power generation, power generation cost and demand are optimized for power allocation, which effectively improves the efficiency of energy use and achieves the goal of minimizing electricity costs.

關鍵字(中)

★ 微電網
★ 電力調度
★ 成本最佳化
★ 粒子群優法
★ 環境因子

關鍵字(英)

★ Microgrid
★ power dispatch
★ cost optimization
★ particle swarm optimization
★ Environmental pollution Factor

論文目次

論文摘要 I
Abstract II
目錄III
圖目錄VI
表目錄XI
第一章緒論 1
1-1 研究背景與動機 1
1-2 研究方法及目的 3
1-3 論文大綱 5
第二章微電網架構與目標函數 6
2-1 微電網系統架構 6
2-1-1 併網狀態微電網系統 7
2-1-2 孤島狀態微電網系統 8
2-2 再生能源預測 9
2-3 微電網中分散式發電系統模型 10
2-3-1 太陽能系統 10
2-3-2 儲能系統 11
2-3-3 燃料電池 14
2-3-4 需量管理策略 15
2-3-5 環境成本 17
2-3-6 市電成本 19
2-4-1 目標函數 21
2-4-2 限制函數 22
第三章微電網最佳化能源管理 23
3-1 太陽能發電預測 23
3-1-1類神經網路簡介 24
3-1-2遞迴神經網路 25
3-1-3長短期記憶神經網路 31
3-1-4 LSTM正向傳播 33
3-2 能源管理系統 35
3-2-1 基於規則能源管理系統 35
3-2-2 最佳化能源管理 37
3-2-3 粒子群演算法 38
3-2-4粒子群演算法流程 42
第四章微電網最佳化能源管理模擬結果 45
4-1 太陽能預測結果 48
4-2 最佳化能源管理系統 51
4-2-1 情境一：天氣晴天，負載曲線為一般家庭用戶 52
4-2-2 情境二：天氣陰天，負載曲線為一般家庭用戶 56
4-2-3 情境三：天氣晴天，負載曲線為辦公室用電 60
4-2-4 情境四：天氣陰天，負載曲線為辦公室用電 64
4-3 電力調度監控平台 68
第五章結論與未來研究方向 71
5-1 結論 71
5-2 未來研究方向 72
文獻參考73

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指導教授

陳正一(Cheng-I Chen)

審核日期

2022-8-16

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