本文關(guān)鍵詞： 配電網(wǎng) 潮流計算 孤島劃分 故障恢復(fù)算法　出處：《華北電力大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：我國電力需求越來越大，電力事業(yè)也不斷發(fā)展，電網(wǎng)的自動化水平隨之提高，配電自動化就是其中的一個重要方面。配電網(wǎng)故障發(fā)生后，迅速完成對故障的識別、隔離和處理，是配電自動化的一項重要任務(wù)。 充分考慮配電網(wǎng)的實際運(yùn)行情況，研究高效、實用的算法，形成故障恢復(fù)軟件，對于實現(xiàn)故障隔離后非故障失電區(qū)快速恢復(fù)供電具有十分重要的意義。同時，分布式發(fā)電技術(shù)大量應(yīng)用于配電網(wǎng)中，對傳統(tǒng)配電網(wǎng)產(chǎn)生了重大的影響，因此，在研究配電網(wǎng)故障恢復(fù)時，不得忽略DG的影響，要將其納入考慮范圍內(nèi)。 本文主要對配電網(wǎng)故障處理中的故障恢復(fù)部分進(jìn)行了深入的研究。分析了我國配電網(wǎng)結(jié)構(gòu)和運(yùn)行特點，同時兼顧到故障恢復(fù)快速可靠的要求，采用前推回推潮流算法計算配電網(wǎng)三相潮流，以此為基礎(chǔ)，進(jìn)行后續(xù)的故障恢復(fù)工作。將故障恢復(fù)工作分為兩步進(jìn)行，首先針對非故障失電區(qū)內(nèi)的DG，采用動態(tài)孤島劃分策略，通過離線生成的數(shù)據(jù)提高搜索效率，并通過在線動態(tài)搜索，形成最佳孤島；然后，將孤島作為可調(diào)度負(fù)荷，參與到孤島外失電網(wǎng)絡(luò)的供電恢復(fù)中，提出兩種故障恢復(fù)算法。一是改進(jìn)二進(jìn)制粒子群算法，規(guī)定粒子位移更新規(guī)則，以保證配電網(wǎng)的輻射狀運(yùn)行要求，并針對算法本身易于“早熟”的缺陷進(jìn)行了改進(jìn)；二是支路交換—粒子群算法，結(jié)合了支路交換法快速高效和粒子群算法全局尋優(yōu)的特點，將粒子位移取為聯(lián)絡(luò)開關(guān)，對于形成的環(huán)網(wǎng)，采用支路交換法確定要打開的分段開關(guān)，可顯著提高算法的計算速度，通過IEEE33節(jié)點配電系統(tǒng)算例對兩種算法進(jìn)行了對比驗證，結(jié)果表明，兩種算法均能得到最優(yōu)恢復(fù)方案，并且支路交換—粒子群算法相較于改進(jìn)二進(jìn)制粒子群算法，計算效率很高。最后，通過含分布式發(fā)電的綜合算例驗證了本文算法結(jié)果的可靠性，，并通過對實際示范線路的仿真測試，驗證了本文算法的實用性。 本文的故障恢復(fù)算法綜合考慮了DG的影響及配電網(wǎng)的特點，能夠在短時間內(nèi)得出恢復(fù)結(jié)果，隨著DG的接入量不斷增大，該算法具有很高的實用價值，將其運(yùn)用到配電自動化中，可以迅速形成故障恢復(fù)方案，協(xié)助調(diào)度人員作出決策。
[Abstract]:With the increasing demand for electric power and the continuous development of power industry in China, the automation level of the power network has been improved, and distribution automation is one of the important aspects. After the fault of the distribution network occurs, the identification, isolation and treatment of the fault are quickly completed. Distribution automation is an important task. Considering the actual operation of the distribution network, studying the efficient and practical algorithm and forming the fault recovery software, it is very important to realize the fast recovery of the power supply in the non-fault power loss area after the fault isolation, at the same time, Distributed generation technology is widely used in distribution network, which has a great impact on traditional distribution network. Therefore, DG influence should not be ignored in the study of distribution network fault recovery, and it should be taken into account. In this paper, the fault recovery part of distribution network fault processing is studied deeply. The structure and operation characteristics of distribution network in China are analyzed, and the requirement of fast and reliable fault recovery is considered. The forward push-back power flow algorithm is used to calculate the three-phase power flow in the distribution network, and the subsequent fault recovery work is carried out. The fault recovery work is divided into two steps. Firstly, the dynamic islanding strategy is adopted for DG in the non-fault power loss area. The data generated offline can improve the search efficiency and form the best isolated island through on-line dynamic search. Then, the isolated island is used as the schedulable load to participate in the restoration of power supply of the off-line power loss network. Two kinds of fault recovery algorithms are proposed. One is to improve the binary particle swarm optimization (BPSO) algorithm by prescribing the rules of particle displacement updating to ensure the radial operation requirements of the distribution network, and to improve the algorithm itself because it is easy to "precocity"; The second is branch commutation-particle swarm optimization algorithm, which combines the fast and high efficiency of branch switching method and the global optimization of particle swarm optimization algorithm. The particle displacement is taken as a contact switch. For the formed ring network, the branch switching method is used to determine the segmental switch to be opened. The calculation speed of the algorithm can be improved significantly. The comparison between the two algorithms is carried out through the example of IEEE33 node distribution system. The results show that the two algorithms can obtain the optimal recovery scheme. And the branch commutation-particle swarm optimization algorithm is more efficient than the improved binary particle swarm optimization algorithm. Finally, the reliability of the proposed algorithm is verified by a comprehensive example with distributed generation. The practicability of the proposed algorithm is verified by the simulation test of the actual demonstration circuit. Considering the influence of DG and the characteristics of distribution network, the fault recovery algorithm in this paper can get the recovery result in a short time. With the increasing of DG access, the algorithm has a high practical value. The fault recovery scheme can be formed quickly by applying it to distribution automation, and it can help dispatcher to make decision.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM73

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