【摘要】：全世界范圍內(nèi)對(duì)能源的需求不斷增加,使得分布式電源,特別是可再生分布式電源(Distributed Renewable Energy Generation, DREG)在配電網(wǎng)中滲透率逐步提高,主動(dòng)配電網(wǎng)技術(shù)(Active Distribution Network, ADN)依托于信息通信技術(shù)和自動(dòng)化技術(shù),能夠?qū)ε潆娋W(wǎng)中的組成部分實(shí)現(xiàn)主動(dòng)管控,從而提高配電網(wǎng)對(duì)規(guī)�；植际诫娫唇尤氲膽�(yīng)對(duì)能力。本文針對(duì)主動(dòng)控制模式下的有功／無(wú)功協(xié)調(diào)優(yōu)化運(yùn)行問(wèn)題開(kāi)展研究,主要工作包括以下幾個(gè)方面：首先,分別從電源側(cè)和負(fù)荷側(cè)對(duì)ADN的集成模式進(jìn)行分析。并針對(duì)分布式電源、儲(chǔ)能系統(tǒng)和可控負(fù)荷的調(diào)度方式和控制模式進(jìn)行了研究。其中,重點(diǎn)對(duì)基于DC-AC換流器并網(wǎng)的DREG有功/無(wú)功解耦控制方式展開(kāi)研究,并以促進(jìn)可再生能源消納為核心目標(biāo),設(shè)計(jì)了ADN日前優(yōu)化調(diào)度策略。其次,以配電網(wǎng)中經(jīng)濟(jì)效益與環(huán)境效益協(xié)同優(yōu)化為目標(biāo),構(gòu)建了ADN多目標(biāo)日前優(yōu)化調(diào)度模型。模型中,分別以ADN運(yùn)行成本表征電網(wǎng)公司經(jīng)濟(jì)效益,以風(fēng)電/光伏機(jī)組棄風(fēng)/棄光量表征ADN的環(huán)境效益,以網(wǎng)絡(luò)運(yùn)行損耗衡量ADN運(yùn)行效率。而后,針對(duì)ADN多目標(biāo)日前優(yōu)化調(diào)度模型的多維度、非線性、斷面耦合性等特點(diǎn),利用自適應(yīng)多目標(biāo)和聲算法對(duì)模型進(jìn)行求解。引入動(dòng)態(tài)參數(shù)調(diào)整策略和音調(diào)步長(zhǎng)優(yōu)化方法,增強(qiáng)算法整體性能,使得算法在多目標(biāo)優(yōu)化模型求解中具備良好的適應(yīng)性。最后,選取擴(kuò)展IEEE33節(jié)點(diǎn)配電系統(tǒng)對(duì)模型進(jìn)行驗(yàn)證分析。通過(guò)求取Pareto最優(yōu)解,證明隨著可再生能源利用率的提高,運(yùn)行經(jīng)濟(jì)成本與系統(tǒng)網(wǎng)損均有所增加。算例分析表明：DREG無(wú)功調(diào)節(jié)能力有助于提高配電網(wǎng)的整體運(yùn)行效率；計(jì)及可再生能源多電壓等級(jí)消納策略在一定DREG滲透率下,有利于提高可再生能源利用率。
[Abstract]:With the increasing demand for energy worldwide, the permeability of distributed generation (Distributed Renewable Energy Generation, DREG), especially the renewable distributed generation (Distributed Renewable Energy Generation, DREG), is gradually increasing in the distribution network, and the active distribution network technology (Active Distribution Network,) Based on the information communication technology and automation technology, ADN can control the components of the distribution network actively and improve the ability of the distribution network to deal with the large-scale distributed power supply access. In this paper, the optimal operation of active / reactive power in active control mode is studied. The main work includes the following aspects: firstly, the integrated mode of ADN is analyzed from power side and load side respectively. The dispatching mode and control mode of distributed power supply, energy storage system and controllable load are studied. The active / reactive power decoupling control method based on DC-AC converter is studied, and the optimal scheduling strategy of ADN is designed to promote renewable energy consumption. Secondly, aiming at the cooperative optimization of economic and environmental benefits in distribution network, the multi-objective pre-day optimal dispatching model of ADN is constructed. In the model, the economic benefit of grid company is represented by ADN operating cost, the environmental benefit of ADN is characterized by wind power / photovoltaic unit abandoned wind / light quantity, and the operation efficiency of ADN is measured by network operation loss. Then, according to the characteristics of multi-dimension, nonlinear and cross-section coupling of ADN multi-objective pre-day optimal scheduling model, adaptive multi-objective harmonic algorithm is used to solve the model. The dynamic parameter adjustment strategy and the tone step optimization method are introduced to enhance the overall performance of the algorithm, which makes the algorithm have good adaptability in solving the multi-objective optimization model. Finally, the extended IEEE33 node distribution system is selected to verify the model. By obtaining the optimal solution of Pareto, it is proved that with the increase of renewable energy efficiency, the operating economic cost and system network loss are increased. The example shows that the reactive power regulation ability of DREG is helpful to improve the overall operation efficiency of the distribution network, and taking into account the multiple voltage level absorption strategy of renewable energy under a certain DREG permeability, it is beneficial to improve the utilization rate of renewable energy.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TM732

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本文編號(hào)：2381007