發(fā)布時(shí)間：2019-04-28 09:56

【摘要】：隨著分布式發(fā)電、可控負(fù)荷、儲(chǔ)能裝置等在配電網(wǎng)的廣泛應(yīng)用,分布式能源的新型特性對傳統(tǒng)配電網(wǎng)的運(yùn)行與控制提出了更高的要求,傳統(tǒng)的被動(dòng)式接納分布式電源的配電網(wǎng)不再滿足未來技術(shù)發(fā)展需要,需要建立主動(dòng)接納分布式能源接入的主動(dòng)配電網(wǎng),從而有效提高分布式能源可用能力,提升配電網(wǎng)資產(chǎn)的利用率,提高用戶的用電質(zhì)量和供電可靠性。然而,高滲透率新能源接入配電網(wǎng)對配網(wǎng)安全穩(wěn)定運(yùn)行造成嚴(yán)重威脅。儲(chǔ)能裝置因其運(yùn)行方式靈活、可充可放、與環(huán)境兼容等特點(diǎn)近年來被用于解決大規(guī)模風(fēng)電并網(wǎng)問題。一方面,儲(chǔ)能裝置的引入能有效平滑新能源輸出功率波動(dòng);另一方面,儲(chǔ)能裝置造價(jià)高、運(yùn)行維護(hù)費(fèi)用昂貴等特點(diǎn)使得很有必要進(jìn)行儲(chǔ)能經(jīng)濟(jì)配置研究�；谏鲜霰尘�,本文主要完成了以下工作:1.考慮風(fēng)電功率不確定性的魯棒最優(yōu)潮流計(jì)算方法風(fēng)電接入會(huì)影響電力系統(tǒng)潮流分布,風(fēng)電功率的隨機(jī)性、間歇性、波動(dòng)性可能導(dǎo)致線路過載及電壓越限等問題,因此提出了一種考慮風(fēng)電功率概率分布不確定性的最優(yōu)潮流模型。模型可在風(fēng)電功率任意可能分布下調(diào)度可調(diào)發(fā)電機(jī)組,保證系統(tǒng)安全經(jīng)濟(jì)運(yùn)行。并將所得結(jié)果與傳統(tǒng)的機(jī)會(huì)約束最優(yōu)潮流進(jìn)行對比,表明了所提方法的有效性。2.考慮概率分布魯棒聯(lián)合機(jī)會(huì)約束的儲(chǔ)能容量優(yōu)化配置方法提出了一種考慮風(fēng)電功率預(yù)測誤差概率分布不確定性的儲(chǔ)能容量優(yōu)化配置方法。該方法可保證在風(fēng)電功率任意可能分布下通過調(diào)度可調(diào)發(fā)電機(jī)組及配置儲(chǔ)能以保證系統(tǒng)安全運(yùn)行,同時(shí)最小化儲(chǔ)能配置成本。首先鑒于歷史數(shù)據(jù)的不完備性,文中將根據(jù)歷史數(shù)據(jù)獲得的風(fēng)電二階矩信息描述為波動(dòng)區(qū)間,然后采用概率分布魯棒聯(lián)合機(jī)會(huì)約束模型描述含風(fēng)場系統(tǒng)儲(chǔ)能最優(yōu)配置問題,進(jìn)而采用拉格朗日對偶消去優(yōu)化模型中的隨機(jī)變量,將魯棒機(jī)會(huì)約束模型轉(zhuǎn)化為確定性的線性矩陣不等式(linear matrix inequality,LMI)問題,最后采用凸優(yōu)化算法求解。并分析了風(fēng)電預(yù)測誤差精度、機(jī)會(huì)約束置信度、風(fēng)電功率波動(dòng)性、系統(tǒng)網(wǎng)架結(jié)構(gòu)、系統(tǒng)內(nèi)靈活性資源等對儲(chǔ)能配置容量的影響。3.基于新能源與隨機(jī)負(fù)荷高階矩信息的儲(chǔ)能容量優(yōu)化配置方法在主動(dòng)配電網(wǎng)背景下,提出考慮主動(dòng)配電網(wǎng)中分布式負(fù)荷與分布式可再生能源發(fā)電隨機(jī)性的儲(chǔ)能容量最小化模型。利用概率高階矩對隨機(jī)變量進(jìn)行建模,并定義了主動(dòng)配電系統(tǒng)供電可靠性的評價(jià)指標(biāo),應(yīng)用數(shù)學(xué)優(yōu)化算法獲得了儲(chǔ)能最小容量與系統(tǒng)供電充裕度之間的定量關(guān)系式。
[Abstract]:With the wide application of distributed power generation, controllable load and energy storage devices in distribution networks, the new characteristics of distributed energy sources put forward higher requirements for the operation and control of traditional distribution networks. The traditional passive distributed power distribution network no longer meets the needs of the future technology development, so it is necessary to establish the active distribution network which actively accepts the distributed energy access, so as to improve the distributed energy availability effectively. Improve the utilization of distribution network assets, improve the user's power quality and power supply reliability. However, high permeability new energy access to the distribution network is a serious threat to the safe and stable operation of the distribution network. In recent years, energy storage devices have been used to solve the problem of large-scale wind power grid connection due to its flexible operation mode, recharge and recharge, compatibility with environment and so on. On the one hand, the introduction of energy storage devices can effectively smooth the fluctuation of the output power of new energy sources; on the other hand, the high cost of energy storage devices and the high cost of operation and maintenance make it necessary to study the economic allocation of energy storage. Based on the above background, this paper mainly completed the following work: 1. Robust optimal power flow calculation method considering wind power uncertainty wind power access will affect power flow distribution, randomness, intermittency and volatility of wind power, which may lead to line overload and voltage out-of-limit, and so on. Therefore, an optimal power flow model considering the uncertainty of probability distribution of wind power is proposed. The model can dispatch adjustable generator set under arbitrary distribution of wind power to ensure the safe and economical operation of the system. The results obtained are compared with the traditional chance constrained optimal power flow, which shows the effectiveness of the proposed method. 2. A method of optimal allocation of energy storage capacity considering the uncertainty of probability distribution of wind power prediction error is presented in this paper. This method can ensure the safe operation of the system by dispatching adjustable generator sets and configuring energy storage under arbitrary distribution of wind power, while minimizing the cost of energy storage configuration. In view of the incompleteness of historical data, the second-order moment information of wind power obtained from historical data is described as fluctuation interval, and then the optimal allocation problem of energy storage in wind-field systems is described by probability distribution robust joint opportunity constraint model. Then the Lagrange dual elimination of random variables in the optimization model is used to transform the robust opportunity constraint model into deterministic linear matrix inequality (linear matrix inequality,LMI) problem. Finally the convex optimization algorithm is used to solve the problem. The influence of wind power prediction error accuracy, chance constraint confidence, wind power fluctuation, system grid structure and flexible resources on energy storage capacity is also analyzed. 3. Based on the high-order moment information of new energy sources and random loads, an energy storage capacity minimization model considering the randomness of distributed load and distributed renewable energy generation in active distribution network is proposed in the context of active distribution network. The probabilistic high-order moment is used to model the random variables and the evaluation index of the power supply reliability of the active distribution system is defined. The quantitative relationship between the minimum capacity of energy storage and the power supply abundance of the system is obtained by using the mathematical optimization algorithm.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM73;TM74

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本文編號(hào)：2467541