考慮恢復(fù)過程的電力系統(tǒng)分區(qū)方法研究
發(fā)布時間:2018-05-29 04:40
本文選題:分區(qū) + 并行恢復(fù); 參考:《南京理工大學(xué)》2017年碩士論文
【摘要】:由于經(jīng)濟(jì)和技術(shù)等各方面條件的限制,大停電事故很難完全避免。其一旦發(fā)生,將會對社會造成巨大影響。對于存在多個具備自啟動能力電源的停電電網(wǎng),如果可以利用多個黑啟動電源對系統(tǒng)進(jìn)行分區(qū)后并行恢復(fù),就可以加快黑啟動進(jìn)程,減少停電損失,F(xiàn)有的電網(wǎng)分區(qū)方法,主要關(guān)注電網(wǎng)內(nèi)部拓?fù)涮匦?忽略了分區(qū)結(jié)果對實(shí)際恢復(fù)的影響。這不僅會導(dǎo)致分區(qū)之間的恢復(fù)時間存在較大差異,先完成恢復(fù)的分區(qū)不得不等待較長時間后才能并網(wǎng),黑啟動功率無法被充分利用;同時由于很難綜合考慮機(jī)組和負(fù)荷的恢復(fù)特性等因素,其離分區(qū)恢復(fù)的實(shí)際要求仍然存在一定距離。結(jié)構(gòu)上的平衡并不能保證恢復(fù)的高效,黑啟動效率有待進(jìn)一步提高。因此,進(jìn)行考慮恢復(fù)過程的電力系統(tǒng)分區(qū)方法的研究具有重要意義。本文對考慮恢復(fù)過程的電力系統(tǒng)分區(qū)優(yōu)化問題進(jìn)行了研究,主要完成了以下工作:第一,分析現(xiàn)有基于網(wǎng)路拓?fù)涮匦缘碾娏ο到y(tǒng)分區(qū)方法。通過對"凝聚算法"和"分裂算法"的研究,討論分區(qū)決策時不考慮恢復(fù)過程的不足,闡述本文研究的必要性。第二,建立考慮恢復(fù)過程的電力系統(tǒng)分區(qū)優(yōu)化模型。以整個電網(wǎng)恢復(fù)期間全網(wǎng)負(fù)荷損失量最小為優(yōu)化目標(biāo),綜合考慮網(wǎng)絡(luò)平衡等約束,確保系統(tǒng)的安全與穩(wěn)定。第三,采用兩層規(guī)劃方法求解上述優(yōu)化模型。上層規(guī)劃基于黑啟動分區(qū)原則,采用割集方法形成電力系統(tǒng)的可行分區(qū)方案,然后基于序優(yōu)化理論對分區(qū)方案進(jìn)行快速篩選,確保以足夠高的概率得到足夠好的結(jié)果。下層規(guī)劃以各分區(qū)內(nèi)部負(fù)荷損失量最小為目標(biāo)優(yōu)化各方案的發(fā)電機(jī)和負(fù)荷的啟動順序,并將恢復(fù)信息反饋到上層。第四,以IEEE-39標(biāo)準(zhǔn)測試系統(tǒng)和江蘇某地區(qū)實(shí)際系統(tǒng)為例驗(yàn)證本文所述算法的有效性。
[Abstract]:Due to economic and technical constraints, blackouts are difficult to avoid. Once it occurs, it will have a great impact on society. For power outages with self-starting power supply, if multiple black-start power sources can be used to recover the system after partitioning, the black-start process can be accelerated and the blackout loss can be reduced. The existing methods mainly focus on the internal topological characteristics of the power grid and ignore the effect of the partition results on the actual recovery. This will not only lead to greater differences in recovery time between partitions, the first to complete the recovery of the partition has to wait a long time before the grid, black start power can not be fully utilized; At the same time, because it is difficult to consider the recovery characteristics of units and loads, there is still a certain distance from the actual requirements of zone recovery. The structural balance can not guarantee the recovery efficiency, and the black-start efficiency needs to be further improved. Therefore, it is of great significance to study the power system partition method considering the recovery process. In this paper, the power system partition optimization problem considering the restoration process is studied. The main work is as follows: first, the existing power system partition methods based on the network topology characteristics are analyzed. Based on the study of "condensing algorithm" and "splitting algorithm", this paper discusses the deficiency of restoration process in partition decision making, and expounds the necessity of this study. Secondly, the district optimization model of power system considering restoration process is established. Taking the minimum load loss of the whole network during the whole restoration period as the optimization objective, considering the constraints of network balance and other constraints, the security and stability of the system are ensured. Thirdly, two-level programming method is used to solve the above optimization model. The upper level planning is based on the black start partition principle and the cut set method is used to form the feasible partition scheme of the power system. Then based on the order optimization theory the partition scheme is quickly screened to ensure that the high enough probability is enough to obtain good results. The lower level program optimizes the starting order of generators and loads of each scheme with the objective of minimizing the internal load loss of each district, and feedback the recovery information to the upper layer. Fourthly, the effectiveness of the proposed algorithm is verified by the IEEE-39 standard test system and the actual system in a certain area of Jiangsu Province.
【學(xué)位授予單位】:南京理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TM711;TM73
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