本文選題：靜態(tài)重構(gòu)　切入點(diǎn)：動(dòng)態(tài)重構(gòu)　出處：《太原理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著化石能源的快速消耗及氣候環(huán)境的不斷惡化,新能源接入電網(wǎng)的規(guī)模不斷增大。由于分布式電源的出力具有隨機(jī)性及間歇性,會(huì)對(duì)系統(tǒng)穩(wěn)定運(yùn)行產(chǎn)生影響,因此,研究能夠保證系統(tǒng)安全及可靠運(yùn)行的配電網(wǎng)重構(gòu)是十分必要的。本文基于系統(tǒng)經(jīng)濟(jì)性、可靠性及安全性,從靜態(tài)和動(dòng)態(tài)兩方面進(jìn)行配電網(wǎng)多目標(biāo)優(yōu)化重構(gòu)。論文主要研究內(nèi)容如下:(1)根據(jù)圖論相關(guān)理論分析配電網(wǎng)拓?fù)湫ｒ?yàn)方法,并對(duì)系統(tǒng)進(jìn)行分層處理,實(shí)現(xiàn)不同類型分布式電源接入系統(tǒng)時(shí)分層前推回代求解潮流。以14節(jié)點(diǎn)系統(tǒng)為例進(jìn)行分析和介紹,驗(yàn)證該潮流計(jì)算方法能夠?qū)崿F(xiàn)同層次電壓和電流的并行計(jì)算,計(jì)算效率明顯提高。(2)基于模糊數(shù)學(xué)隸屬函數(shù)和空間歐氏距離,提出配電網(wǎng)多目標(biāo)靜態(tài)重構(gòu)方法,以降低網(wǎng)絡(luò)有功損耗、提高線路功率傳輸裕度、減少節(jié)點(diǎn)電壓偏移為目標(biāo),確定配網(wǎng)最優(yōu)重構(gòu)方案。首先,基于隸屬函數(shù)研究系統(tǒng)運(yùn)行特性的滿意度,并與歐氏距離相結(jié)合確定系統(tǒng)的模糊滿足度,簡(jiǎn)化復(fù)雜的多目標(biāo)優(yōu)化問題。其次,采用改進(jìn)開關(guān)狀態(tài)更新和自適應(yīng)慣性權(quán)重相結(jié)合的粒子群算法,分析滿足約束條件、目標(biāo)函數(shù)達(dá)到綜合最優(yōu)的重構(gòu)結(jié)果。最后,通過IEEE33節(jié)點(diǎn)系統(tǒng)及太原城區(qū)10kV配電網(wǎng),驗(yàn)證所提方法在提高系統(tǒng)靜態(tài)穩(wěn)定性方面的有效性及實(shí)用性。(3)以多目標(biāo)靜態(tài)重構(gòu)方法為基礎(chǔ),提出配電網(wǎng)多目標(biāo)動(dòng)態(tài)重構(gòu)評(píng)估方法,以降低開關(guān)頻繁操作和提高系統(tǒng)運(yùn)行經(jīng)濟(jì)性為目標(biāo),確定配網(wǎng)最優(yōu)動(dòng)態(tài)重構(gòu)方案。首先,針對(duì)負(fù)荷隨時(shí)間連續(xù)變化的特性,使用BP神經(jīng)網(wǎng)絡(luò)法預(yù)測(cè)日負(fù)荷;其次,評(píng)估網(wǎng)損減小所節(jié)省的費(fèi)用FP是否大于開關(guān)操作費(fèi)用Fk,并以此為約束條件判斷重構(gòu)經(jīng)濟(jì)效益,動(dòng)態(tài)逐次劃分重構(gòu)時(shí)間區(qū)間并搜索各子區(qū)間內(nèi)滿足多目標(biāo)最優(yōu)的網(wǎng)絡(luò)拓?fù)�。最�?通過含分布式電源的IEEE33節(jié)點(diǎn)系統(tǒng),對(duì)比等時(shí)間間隔枚舉法重構(gòu)結(jié)果,驗(yàn)證所提方法可有效避免頻繁的開關(guān)操作并提高系統(tǒng)運(yùn)行經(jīng)濟(jì)性,重構(gòu)后系統(tǒng)各方面性能均得到較大的提升,優(yōu)化結(jié)果更加均衡。(4)依據(jù)靜態(tài)重構(gòu)和動(dòng)態(tài)重構(gòu)的基本理論,開發(fā)一套配電網(wǎng)優(yōu)化重構(gòu)可視化軟件,方便快捷的實(shí)現(xiàn)重構(gòu)中各子程序的所有運(yùn)算功能。
[Abstract]:With the fast consumption of fossil energy and the deterioration of climate environment, the scale of new energy connecting to the power grid is increasing. Because the distributed power generation is random and intermittent, it will affect the stable operation of the system. It is necessary to study the reconfiguration of distribution network which can guarantee the safe and reliable operation of the system. The main contents of this paper are as follows: (1) based on the graph theory, the topology verification method of distribution network is analyzed, and the system is layered. In order to realize different types of distributed power supply access systems, the parallel calculation of voltage and current at the same level can be realized by using the power flow calculation method, which is analyzed and introduced by taking the 14-bus system as an example, and it is proved that the proposed method can realize the parallel calculation of voltage and current at the same level. Based on fuzzy mathematical membership function and spatial Euclidean distance, a multi-objective static reconstruction method for distribution network is proposed, which aims at reducing network active power loss, increasing transmission margin of transmission line power and reducing node voltage offset. The optimal reconfiguration scheme of distribution network is determined. Firstly, based on the membership function, the satisfaction degree of the system is studied, and the fuzzy satisfaction degree of the system is determined by combining with Euclidean distance to simplify the complex multi-objective optimization problem. Particle swarm optimization (PSO) algorithm, which combines improved switch state update and adaptive inertia weight, is used to analyze the reconfiguration results which satisfy the constraint conditions and the objective function is optimized. Finally, through the IEEE33 node system and the 10 kV distribution network in Taiyuan City, To verify the effectiveness and practicability of the proposed method in improving the static stability of the system, a multi-objective dynamic reconfiguration evaluation method is proposed based on the multi-objective static reconfiguration method. In order to reduce the frequent switching operation and improve the operating economy of the system, the optimal dynamic reconfiguration scheme of distribution network is determined. Firstly, the BP neural network method is used to predict the daily load according to the continuous change of load with time. This paper assesses whether the cost saved by network loss reduction is greater than the switching operation cost FK, and uses it as a constraint condition to judge the economic benefit of the reconstruction, dynamically divide the reconstruction time interval one by one and search the network topology which satisfies the multi-objective optimal condition in each sub-interval. Finally, By comparing the reconstruction results of the IEEE33 node system with distributed power supply with equal time interval enumeration method, it is verified that the proposed method can effectively avoid frequent switching operations and improve the operating economy of the system. After reconfiguration, the performance of the system is greatly improved, and the optimization results are more balanced. 4) based on the basic theory of static and dynamic reconfiguration, a set of visualization software for optimal reconfiguration of distribution network is developed. It is convenient and fast to realize all the operation functions of each subroutine in the reconfiguration.
【學(xué)位授予單位】：太原理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM711

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本文編號(hào)：1582506