本文關鍵詞：微電網動態(tài)經濟調度分布式優(yōu)化方法研究　出處：《華南理工大學》2016年碩士論文　論文類型：學位論文

  更多相關文章： 微電網 動態(tài)經濟調度 分布式優(yōu)化 同步型交替方向乘子法 含多微電網的配電網

【摘要】：微電網作為分布式發(fā)電的有效管理形式,對于推進清潔能源的發(fā)展,提高新能源在配電網中的滲透率,提高配電網可靠性和經濟性具有重要的意義。但是,微電網中各類電源特性各異,網絡通信能力不足,微電網收集各發(fā)電單元信息收集能力有限,且各發(fā)電單元私有數(shù)據(jù)需要進行保護,使得傳統(tǒng)集中式經濟調度優(yōu)化方法面臨挑戰(zhàn)。因此,研究微電網動態(tài)經濟調度分布式優(yōu)化具有非常重要的理論意義和工程價值。針對孤島模式下的微電網的分布式動態(tài)經濟調度問題,綜合考慮柴油機的發(fā)電成本、新能源發(fā)電的棄置費用、儲能裝置的折舊費用及網絡有功損耗,按照各發(fā)電單元和儲能裝置在網絡中的接入位置進行分區(qū),以兩個區(qū)域之間的公共線路作為區(qū)域之間的邊界條件,從而建立微電網分布式動態(tài)經濟調度模型。采用同步型交替方向乘子算法進行優(yōu)化求解,該分布式算法不需要協(xié)調中心對全局的拉格朗日乘子進行更新和廣播,每次迭代過程中相鄰區(qū)域之間僅需交換邊界節(jié)點電壓相角信息,且還可以對各分區(qū)優(yōu)化子問題實施并行求解。以某實際微電網為測試系統(tǒng),驗證該算法的正確性和有效性。針對含多微電網的配電網的分布式動態(tài)經濟調度問題,與孤島模式不同的是微電網并網后需與配電網交換功率。配電網不但可以從主網購電,也可以從微電網購電,還可以向微電網供電,經濟調度周期中還考慮了不同時段的峰、谷、平時段電價。綜合考慮微電網內各項費用以及配電網有功損耗和購電費用之和最小,按照各微電網接入配電網的位置以及各微電源接入微電網的位置進行分區(qū),建立含多微電網的配電網分布式動態(tài)經濟調度模型。對該模型仍然采用同步型交替方向乘子算法進行優(yōu)化求解,以含兩個微電網的配電網作為測試系統(tǒng),通過與集中式結果的對比顯示該算法能穩(wěn)定收斂到與集中優(yōu)化相同的最優(yōu)解。
[Abstract]:As an effective management form of distributed generation, microgrid is of great significance to promote the development of clean energy, improve the permeability of new energy in distribution network, and improve the reliability and economy of distribution network. There are different kinds of power supply characteristics in microgrid, the network communication capacity is insufficient, the ability of collecting information of each generation unit is limited, and the private data of each generation unit needs to be protected. Therefore, the traditional centralized economic scheduling optimization method is faced with challenges. It is of great theoretical significance and engineering value to study the distributed dynamic economic dispatch of microgrid. In view of the distributed dynamic economic dispatch of microgrid in isolated island mode, the generation cost of diesel engine is considered comprehensively. The disposal cost of new energy generation, depreciation cost of energy storage unit and network active power loss are divided according to the access position of each generating unit and energy storage device in the network. The distributed dynamic economic dispatch model of microgrid is established by taking the common line between two regions as the boundary condition between the two regions. The synchronous alternating direction multiplier algorithm is used to optimize the solution. The distributed algorithm does not need the coordination center to update and broadcast the global Lagrange multiplier. In each iteration process, only the voltage phase angle information of the boundary node is exchanged between adjacent regions. It can also be used to solve each sub-problem of sub-optimization in parallel. A practical microgrid is used as the test system. The validity and validity of the algorithm are verified. The distributed dynamic economic dispatch problem of distribution network with multi-microgrid is discussed. Different from the isolated island mode, the microgrid needs to exchange power with the distribution network after being connected to the grid. The distribution network can not only purchase electricity from the main network, but also from the micro-grid, but also can supply power to the micro-grid. In the economic dispatching cycle, the peak, valley, and price in different periods of time are also considered, and the sum of all the expenses in the micro-grid and the sum of the active power loss and the purchase cost of the distribution network are considered comprehensively. According to the location of each microgrid connected to the distribution network and the position of each micro-power source connected to the micro-grid, the division is carried out. The distributed dynamic economic dispatching model of distribution network with multi-microgrid is established, and the synchronous alternating direction multiplier algorithm is used to solve the model. The distribution network with two microgrids is used as the test system. The comparison with the centralized results shows that the proposed algorithm can converge stably to the same optimal solution as the centralized optimization.
【學位授予單位】：華南理工大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TM73

【相似文獻】

相關期刊論文 前10條

1 鄭漳華;艾芊;;微電網的研究現(xiàn)狀及在我國的應用前景[J];電網技術;2008年16期

2 麻敏;韓繼明;麻秀慧;陳衍妍;;淺談微電網[J];科技資訊;2009年15期

3 樓書氫;李青鋒;許化強;劉魯?shù)?;國外微電網的研究概況及其在我國的應用前景[J];華中電力;2009年03期

4 楊為;丁明;畢銳;高研;丁銀;;微電網實驗平臺的設計[J];合肥工業(yè)大學學報(自然科學版);2010年01期

5 袁清芳;周作春;陳艷霞;李香龍;陳國鋒;;微電網發(fā)展應對策略[J];農村電氣化;2010年10期

6 安智敏;羅時光;;微電網的概念及發(fā)展[J];內蒙古石油化工;2011年21期

7 王t，

本文編號：1411566