【摘要】：隨著分布式發(fā)電、SNOP、儲(chǔ)能、需求側(cè)響應(yīng)等技術(shù)的廣泛實(shí)施與應(yīng)用,配電網(wǎng)已轉(zhuǎn)變?yōu)榧娔艿氖占�、傳輸、存�?chǔ)與分配等多種功能于一體的新型能源系統(tǒng),也是智能電網(wǎng)技術(shù)發(fā)展的核心。大量形式多樣、特性不同裝置的接入,會(huì)對(duì)配電網(wǎng)的安全可靠運(yùn)行產(chǎn)生深遠(yuǎn)影響,需要對(duì)其進(jìn)行科學(xué)的規(guī)劃,以保證電網(wǎng)改造的合理性和電網(wǎng)運(yùn)行的安全性。同時(shí),在智能配電網(wǎng)的發(fā)展模式下,配電網(wǎng)將主動(dòng)地對(duì)分布式電源、SNOP、儲(chǔ)能、智能終端等的運(yùn)行進(jìn)行調(diào)節(jié)與控制,從而實(shí)現(xiàn)電力潮流的有效管理。因此,智能配電網(wǎng)優(yōu)化問題可分為兩階段的優(yōu)化,即規(guī)劃優(yōu)化和運(yùn)行優(yōu)化,二者相互作用、相互滲透。面對(duì)大量新型裝置參與的配電網(wǎng)優(yōu)化調(diào)節(jié)問題,其優(yōu)化建模、計(jì)算求解以及與可再生能源的相互作用影響等問題將十分復(fù)雜,而對(duì)于此研究分析則需要以高效準(zhǔn)確的建模仿真方法為依托。本文圍繞基于錐優(yōu)化的智能配電網(wǎng)優(yōu)化問題展開研究,主要工作歸納如下:從智能配電網(wǎng)穩(wěn)態(tài)建模出發(fā),根據(jù)各元件功能將其歸類建模。其中,功率轉(zhuǎn)換類元件采用諾頓等效電路來表示;功率傳輸類元件通過導(dǎo)納矩陣來表示;控制類元件自身不屬于電氣元件,因此并不參與形成系統(tǒng)方程;分別針對(duì)分布式電源優(yōu)化配置、SNOP運(yùn)行優(yōu)化和儲(chǔ)能系統(tǒng)運(yùn)行優(yōu)化問題,提出了基于錐優(yōu)化的配電網(wǎng)優(yōu)化問題建模方法。包括:對(duì)錐優(yōu)化方法的理論基礎(chǔ)、標(biāo)準(zhǔn)模型、對(duì)偶性質(zhì)等進(jìn)行簡要介紹,闡明了錐優(yōu)化的數(shù)學(xué)本質(zhì);在配電網(wǎng)基本優(yōu)化模型的基礎(chǔ)上,分別對(duì)分布式電源優(yōu)化配置、SNOP運(yùn)行優(yōu)化和儲(chǔ)能系統(tǒng)運(yùn)行優(yōu)化的約束邊界進(jìn)行描述;根據(jù)錐優(yōu)化的標(biāo)準(zhǔn)形式,通過目標(biāo)函數(shù)線性化和約束條件的錐轉(zhuǎn)化,對(duì)基本模型進(jìn)行等價(jià)變換,形成配電網(wǎng)優(yōu)化問題的錐優(yōu)化模型;針對(duì)配電網(wǎng)分布式電源優(yōu)化配置進(jìn)行分析,分別分析了不同滲透率、不同功率因數(shù)下的分布式電源優(yōu)化結(jié)果以及對(duì)節(jié)能降損的作用;針對(duì)基于SNOP的配電網(wǎng)運(yùn)行優(yōu)化進(jìn)行分析,將SNOP的優(yōu)化效果和網(wǎng)絡(luò)重構(gòu)進(jìn)行詳細(xì)對(duì)比分析,從靜態(tài)潮流優(yōu)化、動(dòng)態(tài)潮流優(yōu)化兩方面驗(yàn)證了SNOP的優(yōu)勢(shì)和潛在效益;針對(duì)儲(chǔ)能系統(tǒng)參與配電網(wǎng)運(yùn)行優(yōu)化進(jìn)行分析,將儲(chǔ)能系統(tǒng)的優(yōu)化方案與配電系統(tǒng)電能供求關(guān)系進(jìn)行對(duì)照分析,驗(yàn)證了儲(chǔ)能系統(tǒng)對(duì)于平滑可再生能源波動(dòng)以及對(duì)電力潮流調(diào)節(jié)優(yōu)化的作用效果;最后,對(duì)錐優(yōu)化方法求解配電網(wǎng)優(yōu)化問題的正確性和高效性進(jìn)行測(cè)試,仿真結(jié)果驗(yàn)證了本文所提錐優(yōu)化方法的有效性和快速性。
[Abstract]:With the wide implementation and application of SNOP, energy storage, demand-side response and other technologies, the distribution network has been transformed into a new energy system with a variety of functions, such as collecting, transmitting, storing and distributing electric energy. It is also the core of smart grid technology development. The access of a large number of devices with various forms and characteristics will have a profound impact on the safe and reliable operation of the distribution network. It is necessary to carry out scientific planning to ensure the rationality of the transformation of the power network and the security of the operation of the power network. At the same time, in the development mode of smart distribution network, the distribution network will actively regulate and control the operation of distributed power generation, energy storage, intelligent terminal, so as to realize the effective management of power flow. Therefore, the intelligent distribution network optimization problem can be divided into two stages of optimization, namely, planning optimization and operation optimization, they interact and penetrate each other. With the participation of a large number of new devices in the optimal regulation of distribution network, the optimization modeling, calculation solution and the interaction with renewable energy will be very complicated. The research and analysis need to be based on efficient and accurate modeling and simulation methods. This paper focuses on the intelligent distribution network optimization problem based on cone optimization. The main work is summarized as follows: starting from the steady state modeling of smart distribution network, the smart distribution network can be classified and modeled according to the function of each component. Among them, the power conversion element is represented by Norton equivalent circuit, the power transmission element is represented by admittance matrix, the control element itself is not an electrical element, so it does not participate in the formation of system equation. Aiming at the operation optimization of SNOP and the operation optimization of energy storage system, the modeling method of distribution network optimization problem based on cone optimization is proposed. Including: the theoretical basis, standard model and dual properties of cone optimization method are briefly introduced, and the mathematical essence of cone optimization is clarified, which is based on the basic optimization model of distribution network. The constraint boundary of SNOP operation optimization and energy storage system operation optimization is described respectively, and according to the standard form of cone optimization, the linearization of objective function and conical transformation of constraint conditions are adopted. The equivalent transformation of the basic model is carried out to form the conical optimization model for the distribution network optimization problem, and the distribution network distributed power supply optimization configuration is analyzed, and the different permeability of the distribution network is analyzed, respectively. The results of distributed power generation optimization under different power factors and its effect on energy saving and loss reduction are analyzed, and the optimization effects of SNOP and network reconfiguration are compared and analyzed in detail, and the static power flow optimization is analyzed from the static power flow, and the optimization of distribution network operation based on SNOP is analyzed in detail. Dynamic power flow optimization verifies the advantages and potential benefits of SNOP, analyzes the energy storage system participating in the distribution network operation optimization, and compares the optimization scheme of energy storage system with the power supply and demand relationship of distribution system. The effect of energy storage system on smoothing renewable energy fluctuation and optimizing power flow regulation is verified. Finally, the correctness and efficiency of cone optimization method for solving distribution network optimization problems are tested. Simulation results verify the effectiveness and rapidity of the proposed cone optimization method.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM743

【引證文獻(xiàn)】

相關(guān)期刊論文 前1條

1 王成山;宋關(guān)羽;李鵬;冀浩然;趙金利;吳建中;;考慮分布式電源運(yùn)行特性的有源配電網(wǎng)智能軟開關(guān)SOP規(guī)劃方法[J];中國電機(jī)工程學(xué)報(bào);2017年07期

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本文編號(hào)：2222312