本文選題：交直流混合微電網(wǎng)　切入點(diǎn)：可再生能源預(yù)測(cè)　出處：《山東大學(xué)》2017年碩士論文

【摘要】：微電網(wǎng)在提高能源利用效率,以及電力系統(tǒng)的可靠性、靈活機(jī)動(dòng)性與環(huán)保性等方面具有極大的發(fā)展?jié)摿?是電力系統(tǒng)的研究熱門(mén)。其中,交直流混合微電網(wǎng)有效地將交流微電網(wǎng)與直流微電網(wǎng)各自的優(yōu)點(diǎn)結(jié)合了起來(lái),是微電網(wǎng)未來(lái)發(fā)展的必然趨勢(shì)。但現(xiàn)有對(duì)微電網(wǎng)能量管理的研究主要針對(duì)交流微電網(wǎng),且優(yōu)化管理目標(biāo)多為運(yùn)行成本最小化、污染排放最小化等,沒(méi)有考慮微電網(wǎng)中變換器在變流過(guò)程中所產(chǎn)生的成本及損耗對(duì)結(jié)果產(chǎn)生的影響,而對(duì)于交直流混合微電網(wǎng),變換器的成本及損耗將直接影響其交流區(qū)與直流區(qū)之間的能量流動(dòng)。因此,為了使交直流混合微電網(wǎng)運(yùn)行節(jié)能降損,更經(jīng)濟(jì)高效,對(duì)其中流動(dòng)的能量進(jìn)行優(yōu)化管理是至關(guān)重要的。本文分別從信息輸入側(cè)、電源側(cè)以及需求側(cè)對(duì)交直流混合微電網(wǎng)的能量管理做了系統(tǒng)的研究,主要工作如下:首先介紹了課題的背景意義,對(duì)微電網(wǎng)及微電網(wǎng)能量管理的相關(guān)研究現(xiàn)狀進(jìn)行了總結(jié)。在結(jié)合微電網(wǎng)發(fā)展特點(diǎn)的前提下,對(duì)交直流混合微電網(wǎng)的結(jié)構(gòu)特征做了必要介紹,并對(duì)其中各個(gè)單元進(jìn)行了特性介紹與數(shù)學(xué)建模。其次對(duì)交直流混合微電網(wǎng)能量管理信息輸入層中的可再生能源的輸出功率進(jìn)行了基于改進(jìn)粒子群優(yōu)化BP神經(jīng)網(wǎng)絡(luò)方法的預(yù)測(cè)。文中針對(duì)BP神經(jīng)網(wǎng)絡(luò)收斂慢,以及粒子群優(yōu)化算法易陷入局部極值無(wú)法跳出的問(wèn)題提出了可根據(jù)適應(yīng)度變化情況而自適應(yīng)調(diào)節(jié)權(quán)重的改進(jìn)粒子群算法以優(yōu)化BP神經(jīng)網(wǎng)絡(luò),并以某電廠的可再生能源發(fā)電功率數(shù)據(jù)為例進(jìn)行仿真驗(yàn)證。結(jié)果證明,相比于基本算法,本文所提的改進(jìn)算法收斂速度更快,在利用本文算法對(duì)可再生能源發(fā)電功率進(jìn)行預(yù)測(cè)時(shí),預(yù)測(cè)精度也高于傳統(tǒng)算法。再次對(duì)交直流混合微電網(wǎng)中的電源側(cè)進(jìn)行了優(yōu)化調(diào)度,以所建立的交直流混合微電網(wǎng)模型為優(yōu)化對(duì)象,建立了多目標(biāo)優(yōu)化模型,探究了是否考慮變換器變流成本以及其損耗對(duì)優(yōu)化調(diào)度結(jié)果的影響。仿真結(jié)果證明了所提策略不但能減小系統(tǒng)中變換器的損耗,還提高了整體的經(jīng)濟(jì)性能,更具有實(shí)際意義。最后對(duì)交直流混合微電網(wǎng)能量管理中的需求側(cè)進(jìn)行了優(yōu)化調(diào)度,首先闡述了需求側(cè)參與優(yōu)化的重要意義,其次對(duì)負(fù)荷進(jìn)行了分類(lèi)并對(duì)可平移負(fù)荷建模分析,最后通過(guò)仿真結(jié)果證明了可控負(fù)荷參與優(yōu)化調(diào)度后不但大幅度提高了微電網(wǎng)運(yùn)行的經(jīng)濟(jì)性,更能確保微電網(wǎng)運(yùn)行的安全與可靠。
[Abstract]:Microgrid has great potential in improving energy efficiency, reliability, flexibility and environmental protection of power system. Ac / DC hybrid microgrid combines the advantages of AC microgrid and DC microgrid effectively, which is the inevitable trend of the future development of microgrid, but the current research on energy management of microgrid is mainly focused on AC microgrid. The optimal management objectives are mostly operating cost minimization, pollution emission minimization, etc., without considering the effect of converter cost and loss on the results, but for AC / DC hybrid microgrid. The cost and loss of the converter will directly affect the energy flow between the AC and DC areas. Therefore, in order to make the AC / DC hybrid microgrid run energy saving and loss reduction, it is more economical and efficient. It is very important to optimize the flow energy management. In this paper, the energy management of AC / DC hybrid microgrid is studied from the information input side, the power side and the demand side, respectively. The main work is as follows: firstly, the background significance of the project is introduced, and the research status of microgrid and microgrid energy management is summarized. The structural characteristics of AC / DC hybrid microgrid are introduced. Then the output power of renewable energy in the energy management information input layer of AC / DC hybrid microgrid is studied based on improved particle swarm optimization BP neural network. In this paper, the convergence of BP neural network is slow, The particle swarm optimization (PSO) algorithm is easy to fall into the local extremum and cannot jump out. An improved PSO algorithm, which can adaptively adjust the weight according to the fitness change, is proposed to optimize the BP neural network. The simulation results show that the proposed algorithm converges faster than the basic algorithm. The prediction accuracy of the proposed algorithm is also higher than that of the traditional algorithm. Thirdly, the power side of AC / DC hybrid microgrid is optimized. Taking the AC / DC hybrid microgrid model as the optimization object, a multi-objective optimization model is established. The effect of converter converter cost and its loss on the optimal scheduling results is discussed. The simulation results show that the proposed strategy can not only reduce the converter loss, but also improve the overall economic performance. Finally, the demand side of AC / DC hybrid micro-grid energy management is optimized. Firstly, the importance of demand-side participating in optimization is expounded, and then the load is classified and the translatable load modeling is analyzed. Finally, the simulation results show that the operation of microgrid not only greatly improves the economy of microgrid operation, but also ensures the safety and reliability of microgrid operation.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TM727

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