本文選題：分布式電源 + 配電網(wǎng)重構(gòu)　； 參考：《湖南大學(xué)》2015年碩士論文

【摘要】：分布式電源(Distributed Generation,DG)作為集中式發(fā)電的有益補(bǔ)充,因具有降低網(wǎng)絡(luò)損耗,改善電壓水平、減少環(huán)境污染等優(yōu)點(diǎn)而被廣泛研究。DG接入配電網(wǎng)后,使得配電網(wǎng)的拓?fù)浣Y(jié)構(gòu)與潮流分布發(fā)生改變。作為優(yōu)化配電網(wǎng)運(yùn)行的重要手段之一,配電網(wǎng)重構(gòu)可分為正常運(yùn)行狀態(tài)下的網(wǎng)絡(luò)優(yōu)化重構(gòu)和故障情況下的恢復(fù)重構(gòu)。配電網(wǎng)重構(gòu)通過改變開關(guān)狀態(tài)來改變網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu),實(shí)現(xiàn)配電網(wǎng)的經(jīng)濟(jì)、可靠運(yùn)行。因此,研究含分布式電源的配電網(wǎng)重構(gòu)與故障恢復(fù)具有重要的理論意義和實(shí)際意義。配電網(wǎng)潮流計(jì)算是配電網(wǎng)運(yùn)行分析的基礎(chǔ),大量DG接入配電網(wǎng)后使得潮流計(jì)算更為復(fù)雜。針對(duì)傳統(tǒng)的潮流計(jì)算未考慮負(fù)荷的電壓特性,建立了計(jì)及負(fù)荷靜態(tài)電壓特性的含DG配電網(wǎng)潮流計(jì)算模型。通過對(duì)不同運(yùn)行控制方式下的DG接口類型進(jìn)行分析,將DG分為PQ、PQ(V)、PI和PV四種節(jié)點(diǎn)類型處理。采用基于支路電流和節(jié)點(diǎn)電壓的前推回代潮流方法對(duì)計(jì)及靜態(tài)電壓特性的含DG潮流計(jì)算模型進(jìn)行求解。以IEEE33節(jié)點(diǎn)系統(tǒng)驗(yàn)證了含DG配電網(wǎng)潮流算法的穩(wěn)定性和有效性,為下一步的配電網(wǎng)重構(gòu)做好準(zhǔn)備。建立了計(jì)及負(fù)荷電壓特性的含DG配電網(wǎng)重構(gòu)模型,以二進(jìn)制編碼的量子遺傳算法對(duì)重構(gòu)模型進(jìn)行求解。改進(jìn)了量子自適應(yīng)動(dòng)態(tài)旋轉(zhuǎn)、量子交叉、量子變異等進(jìn)化操作,同時(shí)采用環(huán)路矩陣分層編碼策略有效地避免了不可行解,使量子遺傳算法能夠準(zhǔn)確、快速搜索到最優(yōu)解。以IEEE33節(jié)點(diǎn)系統(tǒng)和PGE69節(jié)點(diǎn)系統(tǒng)為仿真算例,對(duì)不含DG、含單一類型DG和多類型DG的配網(wǎng)重構(gòu)進(jìn)行了驗(yàn)證分析,結(jié)果表明了所提算法和模型的有效性和穩(wěn)定性。針對(duì)故障狀態(tài)下的配電網(wǎng),提出了一種含DG孤島劃分策略的配電網(wǎng)故障恢復(fù)性重構(gòu)算法。將配電網(wǎng)故障恢復(fù)分為孤島劃分和孤島外重構(gòu)兩個(gè)子問題求解。建立考慮負(fù)荷優(yōu)先級(jí)和等效電氣距離的孤島劃分模型,以具有獨(dú)立支撐能力的DG為中心對(duì)失電負(fù)荷進(jìn)行孤島劃分。孤島外的配電網(wǎng)系統(tǒng)恢復(fù)重構(gòu)過程中考慮線路損耗和開關(guān)次數(shù)的綜合模型,應(yīng)用改進(jìn)的量子遺傳算法對(duì)孤島外的配電網(wǎng)系統(tǒng)恢復(fù)重構(gòu)模型進(jìn)行求解,以IEEE33節(jié)點(diǎn)系統(tǒng)為算例進(jìn)行測(cè)試,結(jié)果表明該方法有利于保證配電系統(tǒng)可靠、經(jīng)濟(jì)運(yùn)行。
[Abstract]:Distributed Generation (DG), as a useful supplement to centralized generation, has been widely studied after it is connected to the distribution network because of its advantages of reducing network loss, improving voltage level and reducing environmental pollution. The topology and power flow distribution of distribution network are changed. As one of the important means to optimize distribution network operation, distribution network reconfiguration can be divided into network optimization reconfiguration under normal operation and restoration reconfiguration under fault condition. Distribution network reconfiguration changes the topology of distribution network by changing the switching state, and realizes the economic and reliable operation of distribution network. Therefore, it is of great theoretical and practical significance to study the reconfiguration and fault recovery of distribution network with distributed generation. Distribution network power flow calculation is the basis of distribution network operation analysis, a large number of DG connected to the distribution network makes power flow calculation more complex. In view of the traditional power flow calculation without considering the voltage characteristics of the load, a power flow calculation model with DG distribution network is established, which takes into account the static voltage characteristics of the load. Based on the analysis of the DG interface types under different operation control modes, DG is divided into four node types: PQQ, PQV, Pi and PV. The DG power flow calculation model with static voltage characteristics is solved by the forward pushback power flow method based on branch current and node voltage. The stability and effectiveness of the power flow algorithm with DG are verified by IEEE33 bus system, which is ready for the next reconfiguration of distribution network. A DG distribution network reconfiguration model with load voltage characteristics is established and solved by binary coded quantum genetic algorithm (QGA). Quantum adaptive dynamic rotation, quantum crossover, quantum mutation and other evolutionary operations are improved. At the same time, loop matrix layered coding strategy is used to effectively avoid the infeasible solution, so that the quantum genetic algorithm can find the optimal solution accurately and quickly. Taking IEEE 33-bus system and PGE69-bus system as simulation examples, the reconfiguration of distribution network without DG, single type DG and multi-type DG is verified and analyzed. The results show the validity and stability of the proposed algorithm and model. A fault recovery reconstruction algorithm for distribution network with DG islanding strategy is proposed. The fault recovery of distribution network is divided into two sub-problems: islanding and external reconfiguration. An island partition model considering load priority and equivalent electrical distance is established. The isolated island partition of power loss load is carried out with DG with independent support capacity as the center. An improved quantum genetic algorithm (QGA) is applied to solve the restoration and reconfiguration model of distribution network outside the island considering the line loss and switching times in the restoration and reconstruction process of the distribution network system outside the island. Taking IEEE 33 bus system as an example, the results show that this method is helpful to ensure the reliable and economical operation of the distribution system.
【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TM711

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