提高風電調(diào)度入網(wǎng)規(guī)模的儲能系統(tǒng)控制策略研究
本文選題:大規(guī)模儲能 + 滾動調(diào)度 ; 參考:《東北電力大學》2014年碩士論文
【摘要】:由于風電功率的波動性和不確定性,大規(guī)模風電聯(lián)網(wǎng)運行給電網(wǎng)安全經(jīng)濟運行帶來了諸多不利影響,制約了既有電網(wǎng)的風電接納規(guī)模。儲能系統(tǒng)具有對功率和能量的時空平移能力,可有效抑制風電功率的波動性提高風電功率的確定性,因而被認為是提高既有電網(wǎng)風電接納規(guī)模的有效手段。然而在目前的技術水平下,儲能系統(tǒng)造價依舊較為昂貴。因此,如何選擇儲能系統(tǒng)的運行控制目標、如何設計儲能系統(tǒng)的運行控制策略及其經(jīng)濟性評價是大規(guī)模儲能應用研究領域的重要課題。 本文針對風電調(diào)度過程中因過分高估風電功率不確定性風險而導致的棄風限電問題,提出利用大規(guī)模儲能提高風電功率的確定性,防止電網(wǎng)過度預留寶貴空間,提高風電的調(diào)度入網(wǎng)規(guī)模。提出了基于概率區(qū)間預測的風電滾動調(diào)度策略;研究了應對風電調(diào)度風險的儲能系統(tǒng)運行控制策略;構(gòu)建了儲能系統(tǒng)經(jīng)濟性評估模型,分不同的概率區(qū)間預測場景評估了其經(jīng)濟性。研究工作能夠為利用大規(guī)模儲能提高風電接納規(guī)模研究提供參考,具有一定的工程實踐意義。
[Abstract]:Due to the fluctuation and uncertainty of wind power, large-scale wind power network operation has brought many adverse effects to the safe and economic operation of power grid, and restricted the scale of wind power acceptance of the existing power grid. The energy storage system has the ability of time and space translation of power and energy, which can effectively restrain the fluctuation of wind power and improve the certainty of wind power. Therefore, it is considered to be an effective means to increase the scale of wind power acceptance in existing power grids. However, under the present technical level, the cost of energy storage system is still more expensive. Therefore, how to select the operation control target of energy storage system, how to design the operation control strategy of energy storage system and its economic evaluation are important topics in the field of large-scale energy storage application research. In view of the problem of abandoning wind power limit caused by overestimating the uncertainty risk of wind power in wind power dispatching process, this paper proposes to use large-scale energy storage to improve the certainty of wind power, and to prevent excessive reserve of valuable space in power grid. Increase the scale of wind power dispatching network. The rolling scheduling strategy of wind power based on probabilistic interval prediction is put forward, the operation control strategy of energy storage system is studied to deal with the risk of wind power dispatching, and the economic evaluation model of energy storage system is constructed. Different probabilistic interval prediction scenarios are used to evaluate its economy. The research work can provide a reference for the study of using large scale energy storage to increase the scale of wind power acceptance, and has a certain engineering practical significance.
【學位授予單位】:東北電力大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:TM614;TM73
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