【摘要】：微電網(wǎng)在分布式電源的高效應(yīng)用、靈活運(yùn)行以及可調(diào)度性能等方面表現(xiàn)出極大的潛能和優(yōu)勢,成為目前解決能源危機(jī)問題的主要戰(zhàn)略之一。微電網(wǎng)的協(xié)調(diào)管控和能量優(yōu)化一直是微電網(wǎng)研究的兩個熱點(diǎn)。微電網(wǎng)協(xié)調(diào)管控的主要目標(biāo)是實(shí)現(xiàn)系統(tǒng)的穩(wěn)定運(yùn)行。在此基礎(chǔ)上,可以進(jìn)一步考慮系統(tǒng)的能量優(yōu)化,實(shí)現(xiàn)微電網(wǎng)的最優(yōu)運(yùn)行。但由于微電網(wǎng)結(jié)構(gòu)繁多,控制方式靈活多樣,不僅需要考慮系統(tǒng)穩(wěn)定性、電能質(zhì)量以及并網(wǎng)時對大電網(wǎng)的沖擊影響等,還需考慮經(jīng)濟(jì)、環(huán)保、應(yīng)用場所等多種因素,因此還需進(jìn)一步全面深入地研究微電網(wǎng)的協(xié)調(diào)管控和能量優(yōu)化技術(shù)。膜計算不僅具有強(qiáng)大的信息處理、推理和建模能力,還具有極大并行性,可克服控制系統(tǒng)結(jié)構(gòu)多樣等問題,滿足系統(tǒng)多樣化的控制需求,適用于求解多種實(shí)際問題。因此,本文結(jié)合膜計算理論模型與膜優(yōu)化算法,深入開展了關(guān)于微電網(wǎng)協(xié)調(diào)管控和能量優(yōu)化兩方面的研究工作。在微電網(wǎng)協(xié)調(diào)管控方面,本文結(jié)合細(xì)胞型膜系統(tǒng)和模糊理論,提出了語言模糊細(xì)胞型模糊P系統(tǒng)(Fuzzy Language Cell-like Fuzzy P System,FLCFPS),給出了其詳細(xì)定義,進(jìn)行推理演示,總結(jié)其特點(diǎn)并與其他P系統(tǒng)進(jìn)行比較;隨后,使用FLCFPS構(gòu)建微電網(wǎng)FLCFPS協(xié)調(diào)管控系統(tǒng),包括微電網(wǎng)結(jié)構(gòu)選擇確認(rèn)、控制對象選擇、輸入量的確認(rèn)、輸入量的模糊化、基本控制流程確立以及各種分布式電源的FLCFPS模型搭建,并進(jìn)行了系統(tǒng)推理測試;最后,通過MATLAB仿真對該微電網(wǎng)FLCFPS協(xié)調(diào)管控系統(tǒng)的合理性和有效性進(jìn)行了進(jìn)一步驗(yàn)證。實(shí)驗(yàn)結(jié)果表明,微電網(wǎng)FLCFPS協(xié)調(diào)管控系統(tǒng)能有效管理和控制微網(wǎng),實(shí)現(xiàn)功率分配平衡,滿足重要負(fù)荷供電可靠性,維持交流饋線頻率穩(wěn)定,提高分布式發(fā)電單元利用率。在微電網(wǎng)能量優(yōu)化方面,本文結(jié)合細(xì)胞型膜系統(tǒng)框架和第二代非支配遺傳算法,提出了非支配遺傳膜算法(Non-dominated Sorting Genetic Membrane-inspired Algorithm,NSGMIA),并進(jìn)行性能測試;然后,搭建考慮微電網(wǎng)運(yùn)行成本、污染物排放和新能源利用率等因素的微電網(wǎng)多目標(biāo)能量優(yōu)化模型;最后,采用NSGMIA算法對微電網(wǎng)多目標(biāo)能量優(yōu)化模型進(jìn)行求解,并用模糊決策選擇出綜合解,實(shí)現(xiàn)微電網(wǎng)兩目標(biāo)能量優(yōu)化和微電網(wǎng)三目標(biāo)能量優(yōu)化并進(jìn)行詳細(xì)的實(shí)驗(yàn)結(jié)果分析。實(shí)驗(yàn)結(jié)果表w\0,該微電網(wǎng)多目標(biāo)能量優(yōu)化模型可以有效地實(shí)現(xiàn)成本、排污和新能源利用率的綜合控制策略,且利用NSGMIA求解,得到的最優(yōu)解集具有更好的分布性和多樣性,有效地提高了微電網(wǎng)的運(yùn)行管理水平。
[Abstract]:Microgrid has great potential and advantage in the efficient application of distributed power supply, flexible operation and schedulable performance, and has become one of the main strategies to solve the energy crisis problem at present. The coordination control and energy optimization of microgrid have been two hot spots in the research of microgrid. The main goal of coordinated control and control of microgrid is to realize the stable operation of the system. On this basis, the energy optimization of the system can be further considered, and the optimal operation of the microgrid can be realized. However, due to the variety of microgrid structures and flexible control methods, it is necessary not only to consider the stability of the system, the power quality and the impact of grid connection on the large power grid, but also to consider many factors such as economy, environmental protection, application places, and so on. Therefore, it is necessary to study the coordinated control and energy optimization technology of microgrid in a more comprehensive and in-depth way. Membrane computing not only has the powerful ability of information processing, reasoning and modeling, but also has great parallelism. It can overcome the problems of diverse control system structures, meet the diverse control requirements of the system, and is suitable for solving a variety of practical problems. Therefore, based on the theoretical model of membrane calculation and membrane optimization algorithm, the research work on coordinated control and energy optimization of microgrid is carried out in this paper. In the aspect of coordination control and control of microgrid, this paper proposes a fuzzy cellular fuzzy P system (Fuzzy Language Cell-like Fuzzy P System,FLCFPS) based on cellular membrane system and fuzzy theory, and gives its detailed definition and reasoning demonstration. Summarize its characteristics and compare with other P systems; Then, FLCFPS is used to construct the micro-grid FLCFPS coordination control system, including micro-grid structure selection, control object selection, input validation, input fuzzification, basic control process establishment and FLCFPS model construction of various distributed power sources. The system reasoning test is carried out. Finally, the rationality and effectiveness of the micro-grid FLCFPS coordinated control system are further verified by MATLAB simulation. The experimental results show that the micro-grid FLCFPS coordinated control system can effectively manage and control the micro-grid, realize the balance of power distribution, satisfy the reliability of power supply of important load, maintain the frequency stability of AC feeder, and improve the utilization rate of distributed power generation unit. In the aspect of energy optimization of microgrid, combining the framework of cellular membrane system and the second generation of non-dominated genetic algorithm, this paper proposes the non-dominated genetic membrane algorithm (Non-dominated Sorting Genetic Membrane-inspired Algorithm,NSGMIA), and carries on the performance test. Then, the multi-objective energy optimization model of microgrid considering the operating cost of microgrid, pollutant emission and new energy efficiency is set up. Finally, the NSGMIA algorithm is used to solve the multi-objective energy optimization model of microgrid, and the comprehensive solution is selected by fuzzy decision-making. The two-objective energy optimization and three-objective energy optimization of microgrid are realized and the experimental results are analyzed in detail. The experimental results show that the multi-objective energy optimization model of microgrid can effectively realize the integrated control strategy of cost, pollution discharge and new energy utilization, and the optimal solution set obtained by using NSGMIA has better distribution and diversity. It effectively improves the level of operation and management of microgrid.
【學(xué)位授予單位】：西華大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM727

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 明俊;基于神經(jīng)型P系統(tǒng)的微電網(wǎng)功率協(xié)調(diào)控制研究[D];西華大學(xué);2018年

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本文編號：2472032