本文選題：儲(chǔ)能系統(tǒng)　切入點(diǎn)：海島配電網(wǎng)　出處：《福州大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：近年來,儲(chǔ)能技術(shù)快速發(fā)展,已受到社會(huì)的廣泛關(guān)注。由于全國普遍存在海島、偏遠(yuǎn)山區(qū)等配電網(wǎng)末端供電用戶,而儲(chǔ)能系統(tǒng)能夠同時(shí)提供有功和無功支撐,穩(wěn)定電網(wǎng)末端節(jié)點(diǎn)電壓水平,提高配電變壓器運(yùn)行效率,增強(qiáng)配電網(wǎng)對新能源及分布式電源的接納能力,并可在電網(wǎng)故障或檢修時(shí)提供應(yīng)急電源,因此是提高典型配電網(wǎng)末端可靠性和供電能力的有效技術(shù)手段之一。依托福建省電力有限公司電力科學(xué)研究院承擔(dān)的科研項(xiàng)目《儲(chǔ)能系統(tǒng)提高配電網(wǎng)末端供電能力的關(guān)鍵技術(shù)研究及應(yīng)用示范》,論文以實(shí)現(xiàn)儲(chǔ)能系統(tǒng)在海島配電網(wǎng)的最優(yōu)控制策略及工作模式為目標(biāo)。主要工作是建立儲(chǔ)能系統(tǒng)優(yōu)化模型,根據(jù)模型的特點(diǎn)采用合適的算法求解儲(chǔ)能系統(tǒng)功率輸出問題,并對儲(chǔ)能系統(tǒng)的工作模式進(jìn)行研究。全文首先簡要介紹了我國典型配電網(wǎng)末端供電存在的主要問題,以及國內(nèi)外對儲(chǔ)能系統(tǒng)及其提高配電網(wǎng)供電能力的相關(guān)研究。其次,描述了大容量儲(chǔ)能電站的系統(tǒng)方案,主要由電池系統(tǒng)部分、能量控制系統(tǒng)部分、監(jiān)控保護(hù)部分等組成。然后,研究了一種基于超短期電力負(fù)荷預(yù)測的大容量儲(chǔ)能系統(tǒng)充放電控制策略。本文在總結(jié)了各類預(yù)測方法的后,根據(jù)海島負(fù)荷的特點(diǎn),最終選定負(fù)荷求導(dǎo)法、時(shí)間序列法和灰色預(yù)測法作為本文的預(yù)測方法,若三種單一預(yù)測方法預(yù)測精度未達(dá)到要求,采用最優(yōu)權(quán)重法將三種方法組合起來以提高預(yù)測精度,算例的最終結(jié)果證明該模型的有效性。在得到超短期負(fù)荷預(yù)測數(shù)據(jù)的基礎(chǔ)上,建立儲(chǔ)能系統(tǒng)優(yōu)化模型。電網(wǎng)的目標(biāo)是負(fù)荷曲線盡可能的平坦,若將電網(wǎng)原有負(fù)荷和儲(chǔ)能系統(tǒng)的輸出功率作為一個(gè)整體,當(dāng)作電網(wǎng)新的負(fù)荷,則儲(chǔ)能系統(tǒng)建模的目標(biāo)是使新的負(fù)荷曲線盡量平坦,故以負(fù)荷曲線的方差最小作為儲(chǔ)能系統(tǒng)優(yōu)化模型的目標(biāo)函數(shù)；進(jìn)一步地,采用有效集算法和遺傳算法對儲(chǔ)能系統(tǒng)優(yōu)化模型的目標(biāo)函數(shù)進(jìn)行求解,模型求解的結(jié)果表明,有效集算法和遺傳算法都可以用來解決全局最優(yōu)化問題。最后,全面地探討儲(chǔ)能系統(tǒng)在海島配電網(wǎng)的應(yīng)用模式。大容量儲(chǔ)能系統(tǒng)接入海島10kV配電網(wǎng)共有四種工作模式：并網(wǎng)模式、離網(wǎng)模式、并網(wǎng)轉(zhuǎn)離網(wǎng)模式、離網(wǎng)轉(zhuǎn)并網(wǎng)模式,在不同工作模式下的控制策略不同；論文所采用的工作模式可以有效地提高海島配電網(wǎng)的供電可靠性,論文最后采用故障模式后果分析法驗(yàn)證了該工作模式的正確性。
[Abstract]:In recent years, the rapid development of energy storage technology has been widely concerned by the society. Because of the prevalence of island, remote mountain areas and other distribution network end power users, and energy storage system can provide both active and reactive power support. It can stabilize the voltage level of the terminal node of the power network, improve the efficiency of the distribution transformer operation, enhance the acceptance ability of the distribution network to the new energy and distributed generation, and can provide the emergency power supply when the power network fails or overhauls. Therefore, it is one of the effective technical means to improve the reliability and power supply ability of typical distribution network. Relying on the research project of Fujian Electric Power Co., Ltd., the research project < energy storage system to improve the power supply capacity at the end of distribution network. Key Technology Research and Application demonstration of Force. The aim of this paper is to realize the optimal control strategy and working mode of energy storage system in island distribution network. The main work is to establish the optimization model of energy storage system. According to the characteristics of the model, a suitable algorithm is adopted to solve the power output problem of the energy storage system, and the working mode of the energy storage system is studied. Firstly, the main problems existing in the terminal power supply of the typical distribution network in China are briefly introduced in this paper. And domestic and foreign research on energy storage system and improving power supply ability of distribution network. Secondly, the system scheme of large capacity energy storage power station is described, which is mainly composed of battery system, energy control system, and so on. Then, a charge and discharge control strategy of large capacity energy storage system based on ultra-short-term power load forecasting is studied. After summarizing all kinds of forecasting methods, according to the characteristics of island load, Finally, load derivation method, time series method and grey forecasting method are selected as the forecasting methods in this paper. If the prediction accuracy of the three single forecasting methods is not up to the requirement, the optimal weight method is adopted to combine the three methods to improve the prediction accuracy. The final result of the example proves the validity of the model. On the basis of the ultra-short-term load forecasting data, the optimization model of energy storage system is established. The goal of the power network is to make the load curve as flat as possible. If the original load and the output power of the energy storage system are taken as a whole and regarded as the new load of the power network, the goal of the energy storage system modeling is to make the new load curve as flat as possible. Therefore, the minimum variance of the load curve is taken as the objective function of the energy storage system optimization model, and the effective set algorithm and genetic algorithm are used to solve the objective function of the energy storage system optimization model. Both the efficient set algorithm and the genetic algorithm can be used to solve the global optimization problem. The application mode of energy storage system in island distribution network is discussed in an all-round way. There are four working modes for large capacity energy storage system to connect to island 10kV distribution network: grid-connected mode, off-grid mode, grid-connected mode, off-grid mode, off-grid mode. The control strategy is different under different working modes, and the working mode adopted in this paper can effectively improve the power supply reliability of the island distribution network. Finally, the correctness of the work mode is verified by the fault mode consequence analysis method.
【學(xué)位授予單位】：福州大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM727

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