本文選題：高壓配電網(wǎng)　切入點：負荷轉(zhuǎn)供　出處：《西南石油大學(xué)》2017年碩士論文

【摘要】：國民經(jīng)濟的迅猛發(fā)展,伴隨著城市負荷的快速增長,使得城市負荷密度大幅度提高,然而滯后的高壓配電網(wǎng)的工程建設(shè)與負荷的實際增長產(chǎn)生了脫節(jié),在迎峰度夏或度冬等大負荷期間,城市高壓配電網(wǎng)的負載分配極不均衡,在運行期間易造成主變過載,輸電斷面阻塞等情況,影響高壓配電網(wǎng)的安全穩(wěn)定運行,這種情況下,地區(qū)調(diào)度員往往會進行頻繁的甚至于大面積的負荷轉(zhuǎn)供操作�，F(xiàn)實中由于缺乏足夠的理論指導(dǎo),他們在進行轉(zhuǎn)供的時候,多是基于經(jīng)驗或試湊的方式將負載率高的某些220kV變電站所帶的負荷轉(zhuǎn)移到其他有聯(lián)絡(luò)關(guān)系的負載率較低的主變上去。但在面對結(jié)構(gòu)越來越復(fù)雜,負荷越來越重的城市高壓配電網(wǎng),調(diào)度員顯得把控力不足。因此,急需提出一種有效的高壓配電網(wǎng)負荷轉(zhuǎn)供策略以輔助調(diào)度員進行決策。本文從模型和算法著手,對高壓配電網(wǎng)的負荷轉(zhuǎn)供問題進行了研究分析。負荷轉(zhuǎn)供也屬于重構(gòu)優(yōu)化研究范疇,傳統(tǒng)的重構(gòu)問題多是以中低壓配電網(wǎng)為研究對象,以基于開關(guān)0-1狀態(tài)變量進行重構(gòu)建模。但由于高壓配電網(wǎng)與中壓配電網(wǎng)相比有明顯的結(jié)構(gòu)性,可控性差異,因此,中低壓配電網(wǎng)的重構(gòu)策略對高壓配電網(wǎng)并不適用。本文從高壓配電網(wǎng)的拓撲結(jié)構(gòu)特點出發(fā),根據(jù)其站內(nèi)站間的聯(lián)絡(luò)關(guān)系,抽象出了功能單元,并將相互之間有聯(lián)系的功能單元劃分成一個單元組,改變組內(nèi)的拓撲結(jié)構(gòu),就間接的改變了各電源點的負載率,因此,以單元組為對象進行重構(gòu)建模。這樣就將重構(gòu)整個網(wǎng)絡(luò)的開關(guān)問題轉(zhuǎn)化成了單元組拓撲狀態(tài)選擇問題,實現(xiàn)了降維.為了選擇出合適的可行拓撲狀態(tài),提出了一種負荷轉(zhuǎn)供的分層優(yōu)化模型,在上層優(yōu)化模型中,形成一種各單元組的負載預(yù)分配方案,計算均衡度,再在下層優(yōu)化模型中,枚舉單元組的可行拓撲狀態(tài),并找出最貼近上層的拓撲狀態(tài),利用優(yōu)化算法的迭代更新機制,找到主變負載均衡的情況下最貼近他的實際拓撲狀態(tài)。高壓配電網(wǎng)的負荷轉(zhuǎn)供模型求解是一個復(fù)雜的優(yōu)化問題,選擇智能算法求解這一問題是一種有效的策略,本文采用了近年來新興的一種智能優(yōu)化算法—教與學(xué)優(yōu)化算法(TLBO),該算法具有參數(shù)少,原理簡單,易于編程且收斂速度快的優(yōu)點,在求解優(yōu)化問題時,顯示了十足的優(yōu)勢。為了避免在求解高維的復(fù)雜優(yōu)化問題時陷入局部最優(yōu)解,本文在基本的算法中引入了差分進化算法(DE)的交叉操作,以提高算法的搜索精度,與其他的智能算法進行了驗證分析比較,結(jié)果表明改進算法的有效性。并將該算法用于負荷轉(zhuǎn)供優(yōu)化模型的求解。最后,利用提出的模型和算法,對某城市高壓配電網(wǎng)局部系統(tǒng)進行了算例分析,驗證了轉(zhuǎn)供策略的有效性。
[Abstract]:The rapid development of the national economy, with the rapid growth of the city makes the city load, load density is greatly increased, but the actual growth of engineering construction and the load of high voltage distribution network lag produced in line, during the peak summer or winter, high load and load distribution of city high voltage distribution network is not balanced, easy to the main transformer caused by overload during operation, transmission section blocking etc., affect the safe and stable operation of high voltage distribution network, in this case, the dispatcher will often frequent the area even in large area for load transfer operation. In reality due to the lack of sufficient theoretical guidance, they in turn for the more some of the 220kV substation based on experience or try the high load rate of the load transfer to other contact load main transformer low up. But in the face of more and more complex structure, negative City high voltage distribution network load more and more heavy, the dispatcher is to control the power shortage. Therefore, it is urgent to put forward a decision for high voltage distribution network load transfer for effective strategies to assist the operator in this paper. From the model and algorithm to the high voltage distribution network for load transfer problems are analyzed. The load transfer is the research category of optimization reconstruction, reconstruction of the traditional is in low voltage distribution network as the research object, to switch 0-1 state variables based on the reconstruction model. But because of the high pressure distribution network and distribution network than the obvious structural controllability, difference, therefore, the reconstruction strategy of low voltage distribution network is not suitable for high voltage distribution network this paper. From the topology characteristic of the high voltage of power network, according to the contact relationship between the station station, abstracted functional units, and will have the relationships between functional units into a Unit group, change the topology within the group, he indirectly changed the load rate of the power point, therefore, to reconstruct the unit group as the object modeling. This will transform the entire network reconfiguration switch to select the topology state element group, realize dimensionality reduction. In order to choose a feasible topology suitable condition the proposed a hierarchical optimization model for load transfer, in the upper level optimization model, the formation of a pre load distribution scheme of each unit group, calculate the equilibrium degree, then in the optimization model, the feasible topology state enumeration unit group, and find out the most close to the top of the topological state, using iterative optimization algorithm the update mechanism, find the main transformer load balance under the condition of the most close to his actual state. The topology of high voltage distribution network for load transfer model is a complex optimization problem, intelligent algorithm to solve this problem is An effective strategy in this paper, a new intelligent optimization algorithm and optimizing the teaching method (TLBO), the algorithm has less parameters, simple principle, easy programming and fast convergence, in solving the optimization problem, show full advantage. In order to avoid falling into local optimal solution in solving complex high dimensional optimization problems, in this paper the basic algorithm introduces differential evolution algorithm (DE) of the crossover operation, to improve the search accuracy, compared with other intelligent algorithms is verified, results show the effectiveness of the improved algorithm. And this algorithm is used to solve the load transfer optimization model. Finally, using the proposed model and algorithm, the local system of a city high voltage distribution network is analyzed and verified the effectiveness of the transfer strategy.

【學(xué)位授予單位】：西南石油大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM727.2

【參考文獻】

相關(guān)期刊論文 前10條

1 張曦;呂林;金勇;劉友波;劉俊勇;;基于高壓配電網(wǎng)變電單元分組重構(gòu)的城市電網(wǎng)輸電阻塞管控模型及算法[J];中國電機工程學(xué)報;2016年20期

2 邱驍奇;胡志堅;;基于改進教與學(xué)優(yōu)化算法的配電網(wǎng)重構(gòu)[J];電力系統(tǒng)保護與控制;2016年12期

3 金勇;劉友波;劉俊勇;陳立;張強;段豪翔;;基于公共信息模型對象聚合的高壓配電網(wǎng)功能單元信息模型[J];電力系統(tǒng)自動化;2016年09期

4 鄧桂秀;江修波;蔡金錠;;淺析配電網(wǎng)網(wǎng)絡(luò)重構(gòu)研究現(xiàn)狀和發(fā)展[J];機電技術(shù);2013年04期

5 廖懷慶;劉東;黃玉輝;于文鵬;張宇;李亦農(nóng);祝達康;;基于公共信息模型拓撲收縮的配電網(wǎng)轉(zhuǎn)供能力分析[J];電網(wǎng)技術(shù);2012年06期

6 吳國沛;劉育權(quán);;智能配電網(wǎng)技術(shù)支持系統(tǒng)的研究與應(yīng)用[J];電力系統(tǒng)保護與控制;2010年21期

7 黃弦超;張粒子;Gareth TAYLOR;;考慮負荷控制的配電網(wǎng)故障恢復(fù)[J];電力系統(tǒng)自動化;2010年17期

8 顧雪平;韓忠暉;梁海平;;電力系統(tǒng)大停電后系統(tǒng)分區(qū)恢復(fù)的優(yōu)化算法[J];中國電機工程學(xué)報;2009年10期

9 程改紅;徐政;;基于粒子群優(yōu)化的最優(yōu)負荷恢復(fù)算法[J];電力系統(tǒng)自動化;2007年16期

10 李茂軍,羅安,童調(diào)生;人工免疫算法及其應(yīng)用研究[J];控制理論與應(yīng)用;2004年02期

相關(guān)博士學(xué)位論文 前1條

1 劉建華;粒子群算法的基本理論及其改進研究[D];中南大學(xué);2009年

相關(guān)碩士學(xué)位論文 前7條

1 許慧銘;教與學(xué)算法在電力系統(tǒng)最優(yōu)潮流的應(yīng)用研究[D];華南理工大學(xué);2015年

2 楊震;配電網(wǎng)多目標網(wǎng)絡(luò)重構(gòu)方法的研究與實現(xiàn)[D];華北電力大學(xué);2015年

3 朱前龍;基于多目標改進教與學(xué)算法的多FACTS裝置協(xié)調(diào)控制研究[D];湖南大學(xué);2013年

4 袁龍;電力系統(tǒng)配電網(wǎng)負荷轉(zhuǎn)供研究[D];天津大學(xué);2012年

5 黃燁;基于多目標遺傳算法的含分布式電源配電網(wǎng)絡(luò)重構(gòu)研究[D];華北電力大學(xué);2012年

6 曹道友;基于改進遺傳算法的應(yīng)用研究[D];安徽大學(xué);2010年

7 陳榮;城市高壓配電網(wǎng)優(yōu)化重構(gòu)的研究[D];河海大學(xué);2007年

，

本文編號：1708059