本文關(guān)鍵詞： 分散式風電 儲能系統(tǒng) 雙層規(guī)劃 遺傳算法 VC++　出處：《新疆大學》2017年碩士論文　論文類型：學位論文

【摘要】：近年來,十分嚴重的棄風現(xiàn)象制約了集中式風電的進一步發(fā)展,相對于集中式風電發(fā)展的瓶頸,分散式風電憑借其投資省、能就近消納、接入方式靈活等優(yōu)點逐漸受到業(yè)界重視。但分散式風電仍擺脫不了風電本身固有的不可控、不可調(diào)和反調(diào)峰等特性,而近年來風儲聯(lián)合系統(tǒng)的快速發(fā)展充分說明了儲能技術(shù)可有效地解決這些問題。本文針對分散式風儲一體化電站(Distributed Wind-Storage System Integration,DWSSI)規(guī)劃問題,首先,提出了一種保證DWSSI總?cè)萘孔畲蟮耐瑫r兼顧全局經(jīng)濟性最優(yōu)的雙層規(guī)劃模型:以DWSSI總?cè)萘孔畲鬄樯蠈右?guī)劃目標,考慮各地的風能資源與電網(wǎng)資產(chǎn)組成的風電消納能力等約束;以DWSSI的經(jīng)濟性最優(yōu)為下層規(guī)劃目標,其又分為若干個接入點優(yōu)化風儲配比問題,主要考慮DWSSI可靠性和風儲出力目標等約束,并采用嵌套的遺傳算法對該模型求解。其次,在上述研究內(nèi)容的基礎(chǔ)上基于Microsoft Visual C++6.0平臺的MFC框架開發(fā)了一款操作簡單、使用方便、界面友好的DWSSI容量規(guī)劃軟件。最后,通過某分散式風電場實例驗證,結(jié)果表明該模型與算法均是可行的,并進一步分析了風力發(fā)電機類型及威布爾參數(shù)對其規(guī)劃結(jié)果的影響。研究結(jié)果為我國風電的后續(xù)發(fā)展提供了一個新的思路,豐富了風儲規(guī)劃的理論體系,可為DWSSI的容量規(guī)劃提供一定參考,且對提高風能利用率、節(jié)能減排、環(huán)境保護等方面有重要意義。本文在研究過程中受到國家自然科學基金面上項目(51367018)以及國家電網(wǎng)公司科技項目(5230JY170002)的資助。
[Abstract]:In recent years, the phenomenon of wind abandonment has restricted the further development of centralized wind power. Compared with the bottleneck of centralized wind power development, decentralized wind power, with its investment saving, can be accepted nearby. The advantages of flexible access methods have been gradually attached importance to the industry, but decentralized wind power still can not get rid of the inherent uncontrollable wind power, irreconcilable anti-peak adjustment and other characteristics. The rapid development of combined wind storage system in recent years fully shows that energy storage technology can effectively solve these problems. Distributed Wind-Storage System Integration. First of all, a bilevel programming model is proposed to ensure the maximum total capacity of DWSSI while taking into account the global economic optimization. The maximum total capacity of DWSSI is regarded as the upper level programming goal. Considering the wind energy resources and grid assets of wind power absorption capacity constraints; Taking the economic optimization of DWSSI as the lower level programming objective, it is divided into several access points to optimize the ratio of air storage, mainly considering the constraints of DWSSI reliability and wind output force target. And the nested genetic algorithm is used to solve the model. Secondly. Based on the above research content, a MFC framework based on Microsoft Visual C 6.0 platform is developed, which is easy to operate and easy to use. DWSSI capacity planning software with friendly interface. Finally, through a distributed wind farm example, the results show that the model and algorithm are feasible. The effects of wind turbine type and Weibull parameters on the planning results are further analyzed. The results provide a new idea for the subsequent development of wind power in China and enrich the theoretical system of wind storage planning. It can provide some reference for the capacity planning of DWSSI, and it can improve the utilization of wind energy, save energy and reduce emissions. Environmental protection is of great significance. In the course of the research, this paper was supported by the National Natural Science Foundation of China (51367018) and the State Grid Corporation's science and technology project (. 5230 JY170002).
【學位授予單位】：新疆大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TM61

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本文編號：1475263