基於層次分析法與熵值法之改良式粒子群優化策略於多目標最佳化能源管理系統

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姓名

林柏辰(Bo-Chen Lin) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

基於層次分析法與熵值法之改良式粒子群優化策略於多目標最佳化能源管理系統
(Improved Particle Swarm Optimization Strategy for Multi-Objective Optimization of Energy Management Systems Based on Analytic Hierarchy Process and Entropy Method)

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摘要(中)

隨著微電網蓬勃發展，讓微電網高效運轉已是一門重要議題。在這方面，多目標最佳化調度技術被廣泛應用，可以因應不同使用者的使用情境，同時考慮多個目標，實現微電網的減碳、經濟和安全穩定等多個方面的優化。本論文針對微電網多目標最佳化調度的方法和技術進行研究，首先，對微電網的架構和模式進行了介紹，分析了微電網的特點和面臨的問題。其次，介紹了電網設備及數學模型和多目標最佳化調度的基本概念和方法，包括模型建立、目標函數設計、ㄒㄧ限制式定義等等。接著，針對微電網的多目標最佳化調度問題，使用熵值法結合AHP進行權重分配，並使用粒子群優化的調度方法，進行了Matlab模擬實驗與實際場域測試。實驗結果表明，該方法可以有效地提高微電網的運行效率和經濟性，同時減少碳排量，並針對不同的使用情境，做出不同的因應對策。最後，針對微電網多目標最佳化調度的未來研究方向進行了討論，針對可行的研究方向，包括進一步改進算法性能、增加目標、增強系統韌性和智能化管理等方面。

摘要(英)

With the rapid development of microgrids, achieving efficient operation has emerged as a critical research topic. In this context, multi-objective optimization scheduling techniques have gained significant attention, as they enable the consideration of various user scenarios while simultaneously addressing multiple objectives, such as carbon reduction, economic efficiency, and security and stability enhancement in microgrids. This thesis investigates the methodologies and technologies for multi-objective optimization scheduling in microgrids. Firstly, the structure and models of microgrids are introduced, followed by an analysis of their distinctive features and existing challenges. Subsequently, the fundamental concepts and methods of electrical grid equipment, mathematical modeling, and multi-objective optimization scheduling are expounded, encompassing model formulation, objective function design, and constraint formulation. Moreover, addressing the multi-objective optimization scheduling problem in microgrids, a hybrid approach incorporating the entropy method and the Analytic Hierarchy Process (AHP) is proposed to allocate appropriate weights, while a particle swarm optimization (PSO) algorithm is employed for scheduling. Comprehensive Matlab simulations and practical field experiments are conducted to evaluate the performance of the proposed approach. The experimental results demonstrate that the proposed methodology can effectively enhance the operational efficiency and economic feasibility of microgrids, while concurrently reducing carbon emissions. Furthermore, it enables tailored strategies for diverse usage scenarios. Lastly, prospective research directions pertaining to multi-objective optimization scheduling in microgrids are discussed, including further algorithmic enhancements, incorporation of additional objectives, reinforcement of system resilience, and the integration of intelligent management strategies.

關鍵字(中)

★ 微電網調度策略
★ 多目標調度
★ 層次分析法
★ 熵值法

關鍵字(英)

★ Microgrid scheduling strategies
★ Multi-objective scheduling
★ Analytic Hierarchy Process
★ Entropy Method

論文目次

論文摘要 I
Abstract II
致謝 IV
目錄 V
圖目錄 VIII
表目錄 XIII
第一章緒論 1
1-1研究動機及目的 1
1-2文獻探討 2
1-3論文大綱 6
第二章微電網及多目標函式設計 7
2-1微電網系統型態 7
2-1-1併網狀態 8
2-1-2孤島狀態 9
2-1-3單電網與多電網差異 10
2-2 微電網中各項發電設備之數學模型 11
2-2-1市電 11
2-2-2 太陽能 13
2-2-3 儲能系統 14
2-2-4 燃料電池 15
2-2-5 用電負載分級 17
2-3基於AHP和Entropy的多目標函式設計 20
2-3-1電網運轉成本 20
2-3-2儲能系統壽命因子 21
2-3-3電網碳排放因子 23
2-3-4以AHP設計多目標函式 25
2-3-5以熵值法設計多目標函式 31
2-3-6以熵值法結合AHP定義權重 34
2-3-7限制函式 36
第三章多目標最佳化能源管理系統 37
3-1MQTT通訊協定 37
3-2Modbus通訊協定 40
3-2-1Modbus RTU通訊協定 40
3-2-2Modbus TCP通訊協定 41
3-3太陽能預測系統 41
3-3-1CNN 43
3-3-2RNN 44
3-3-3LSTM 45
3-4能源管理系統 47
3-4-1Rule-Base能源管理系統 47
3-4-2最佳化方法 49
3-4-3粒子群演算法 50
第四章系統模擬與實作結果 57
4-1併網模式模擬 58
4-1-1Case1:晴天，家用負載 58
4-1-2Case2:陰天，家用負載 63
4-1-3Case3:晴天+陰天，家用負載 68
4-2孤島模式模擬 73
4-2-1Case4:晴天，電力中斷 74
4-2-2Case5:陰天，電力中斷 83
4-3模擬結果分析與討論 92
4-4實際場域實作 96
第五章結論與未來研究方向 100
5-1 結論 100
5-2 未來研究方向 101
文獻參考 102

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指導教授

陳正一(Cheng-I Chen)

審核日期

2023-7-14

推文