本文選題：直流微電網(wǎng) + 混合儲能�。� 參考：《哈爾濱工業(yè)大學》2015年碩士論文

【摘要】：近年來,為改善能源結(jié)構(gòu),可再生能源和分布式發(fā)電得到廣泛應(yīng)用,微電網(wǎng)技術(shù)快速發(fā)展,微電網(wǎng)的研究一直以交流微電網(wǎng)為主,但是隨著直流負載和直流分布式電源的大量使用,直流微電網(wǎng)展現(xiàn)出強大的優(yōu)勢。本文針對選取的直流微電網(wǎng)系統(tǒng),采用改進的微分進化算法和模糊控制的最大隸屬度原則求解了它的優(yōu)化配置與能量管理問題,并對其中混合儲能系統(tǒng)的功率分配方法進行了研究,主要內(nèi)容包括:本文首先選取了一種直流微電網(wǎng)結(jié)構(gòu),詳細介紹其中不同類型的分布式電源,研究它們的特性和等效模型,并針對蓄電池與超級電容組成的混合儲能系統(tǒng),提出一種基于蓄電池分階段恒功率充放電的功率分配方案,充分發(fā)揮蓄電池與超級電容各自儲能優(yōu)勢,在滿足儲能需求的前提下,延長蓄電池使用壽命。在直流微電網(wǎng)結(jié)構(gòu)上,根據(jù)負荷總量和環(huán)境因素等相關(guān)數(shù)據(jù),以機組類型和容量為優(yōu)化變量,考慮多種約束條件,以微電網(wǎng)投資運行成本最低為目標,建立優(yōu)化配置模型,選用微分進化算法并加以改進,在Matlab環(huán)境下編程求解,分別得到儲能系統(tǒng)為單一儲能和混合儲能兩種情況下的優(yōu)化配置結(jié)果,并進行對比分析,為直流微電網(wǎng)的實際建設(shè)提供參考,同時驗證了混合儲能系統(tǒng)的優(yōu)越性。在優(yōu)化配置完成后的直流微電網(wǎng)系統(tǒng)中,以典型日微電網(wǎng)運行過程中各分布式電源的出力情況作為優(yōu)化變量,以運行維護費用和負載失電率作為目標,建立能量管理的多目標優(yōu)化模型,在改進微分進化算法的基礎(chǔ)上,分別采用多目標非劣排序和模糊控制的最大隸屬度原則,獲得微電網(wǎng)運行的帕累托解集合綜合滿意度最大的唯一解,證明微電網(wǎng)運行經(jīng)濟型與可靠性之間可以獲得有效折衷,通過對最優(yōu)解對應(yīng)的運行狀態(tài)進行分析,驗證所采用的能量管理優(yōu)化方法的合理性和實用性。
[Abstract]:In recent years, in order to improve the energy structure, renewable energy and distributed generation have been widely used, microgrid technology has developed rapidly, the research of microgrid has been focused on AC microgrid. However, with the large use of DC load and DC distributed power, DC microgrid shows powerful advantages. In this paper, an improved differential evolutionary algorithm and the principle of maximum membership of fuzzy control are used to solve the problem of optimal configuration and energy management for the selected DC microgrid system. The power distribution method of hybrid energy storage system is studied. The main contents are as follows: firstly, a kind of DC microgrid structure is selected, and different types of distributed power generation are introduced in detail, and their characteristics and equivalent models are studied. Aiming at the hybrid energy storage system composed of storage battery and super capacitor, a power distribution scheme based on constant power charge and discharge of storage battery is proposed to give full play to the respective advantages of storage battery and super capacitor. On the premise of meeting the requirement of energy storage, the service life of battery is prolonged. In the structure of DC microgrid, according to the data of total load and environmental factors, taking unit type and capacity as optimization variables, considering various constraints, and taking the minimum operating cost of micro-grid investment as the goal, the optimal configuration model is established. The differential evolution algorithm is selected and improved, and the optimal configuration of the energy storage system is obtained under the Matlab environment. The results are compared and analyzed, respectively, when the energy storage system is a single energy storage system and a hybrid energy storage system. It provides a reference for the practical construction of DC microgrid and verifies the superiority of hybrid energy storage system. In the DC microgrid system with optimized configuration, the output of each distributed generation during the operation of a typical daily microgrid is taken as the optimization variable, and the operation maintenance cost and load power loss rate are taken as the targets. The multi-objective optimization model of energy management is established. Based on the improved differential evolution algorithm, the principle of multi-objective non-inferior ranking and the maximum membership degree of fuzzy control are adopted, respectively. The Pareto solution set of microgrid operation is obtained and the unique solution with the greatest satisfaction degree is obtained. It is proved that an effective compromise can be obtained between the economic operation and reliability of the microgrid operation, and the corresponding operation state of the optimal solution is analyzed. The rationality and practicability of the energy management optimization method are verified.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TM73

【參考文獻】

相關(guān)期刊論文 前8條

1 謝石驍;楊莉;李麗娜;;基于機會約束規(guī)劃的混合儲能優(yōu)化配置方法[J];電網(wǎng)技術(shù);2012年05期

2 王波一;王鶴;蘭森;李佳鵬;;基于改進微分進化算法的微電網(wǎng)優(yōu)化運行研究[J];東北電力大學學報;2013年Z1期

3 張建華;于雷;劉念;肖銳;;含風/光/柴/蓄及海水淡化負荷的微電網(wǎng)容量優(yōu)化配置[J];電工技術(shù)學報;2014年02期

4 劉方;楊秀;時珊珊;張美霞;鄧虹;郭鵬超;;不同時間尺度下基于混合儲能調(diào)度的微網(wǎng)能量優(yōu)化[J];電網(wǎng)技術(shù);2014年11期

5 周林;黃勇;郭珂;馮玉;;微電網(wǎng)儲能技術(shù)研究綜述[J];電力系統(tǒng)保護與控制;2011年07期

6 王金全;黃麗;楊毅;;基于多目標粒子群算法的微電網(wǎng)優(yōu)化調(diào)度[J];電網(wǎng)與清潔能源;2014年01期

7 施婕;艾芊;;直流微電網(wǎng)在現(xiàn)代建筑中的應(yīng)用[J];現(xiàn)代建筑電氣;2010年06期

8 張節(jié)潭;程浩忠;胡澤春;馬則良;張建平;姚良忠;;含風電場的電力系統(tǒng)隨機生產(chǎn)模擬[J];中國電機工程學報;2009年28期

相關(guān)碩士學位論文 前1條

1 石慶均;微網(wǎng)容量優(yōu)化配置與能量優(yōu)化管理研究[D];浙江大學;2012年

，

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