【摘要】：可再生能源是世界各國未來經(jīng)濟與能源利用發(fā)展的重要方向。微電網(wǎng)不僅能并網(wǎng)運行,而且也可以作為獨立電網(wǎng)運行,在部分山區(qū)和海島等偏遠孤立地帶,微電網(wǎng)不僅能夠解決當?shù)毓╇妴栴},而且可以減少大量供電設施建設的成本,改善偏遠地區(qū)的生產(chǎn)生活水平。其中風力、光伏及儲能電池組成的風光互補系統(tǒng)是眾多新能源示范項目的主要構成形式,本文以其為研究對象,主要研究工作有:(1)多目標差分進化算法的改進研究。為了避免算法陷入局部最優(yōu),增加其收斂速度,更好地模擬生物自然進化過程,在原有的基于分解的多目標進化算法(MOEA/D)的基礎上,將混沌初值理論、參數(shù)自適應方法和線性加權和的方法引入該算法,通過測試函數(shù)的測試初步達到了改進的效果。(2)獨立型風光互補系統(tǒng)中分布式電源經(jīng)濟性和可靠性容量配置的研究。本部分分別分析系統(tǒng)的光伏電源、風力發(fā)電機和蓄電池的工作特性,建立系統(tǒng)的經(jīng)濟性和可靠性目標,進行IMOEA/D的微源容量配置優(yōu)化的研究,并與其他常用多目標進化算法(SPEA、NSGA-Ⅱ、MOPSO、NNIA)的優(yōu)化結果進行比較,得出符合工程需要的微網(wǎng)系統(tǒng)分布式電源容量優(yōu)化配置組合。(3)獨立型風光互補系統(tǒng)分布式電源能量控制的MATLAB/Simulink仿真研究。在最大限度利用可再生能源的原則下,先后做出了光伏電源和風力發(fā)電機的變步長爬山法最大功率的跟蹤(MPPT)仿真模型以及蓄電池的恒壓充放電的能量控制模型,提高微網(wǎng)系統(tǒng)的可再生能源的利用率和穩(wěn)定性。將本文提出的IMOEA/D應用到實際工程中,在可靠性近似相等的情況下,IMOEA/D獲得經(jīng)濟成本均小于其它算法獲得的結果;而對于本文提出的變步長爬山法跟蹤結果,其跟蹤時間和跟蹤過程中產(chǎn)生的波動都比傳統(tǒng)的定步長的要小,可以提高跟蹤效率和穩(wěn)定性;最后對蓄電池的控制技術可以是其輸出電壓穩(wěn)定在理想電壓范圍內,并且可以實現(xiàn)充放電模式的轉換和控制。
[Abstract]:Renewable energy is an important direction of economic and energy utilization in the world. Microgrid not only can be connected to the grid, but also can be operated as an independent grid. In some remote and isolated areas such as mountainous areas and islands, microgrid can not only solve the local power supply problem, but also reduce the construction cost of a large number of power supply facilities. Improve production and living standards in remote areas. Wind, photovoltaic and solar energy storage cells are the main components of many new energy demonstration projects. In this paper, the main research work is as follows: (1) the improvement of multi-objective differential evolution algorithm. In order to avoid the algorithm falling into local optimum, increase its convergence speed, and better simulate the natural evolution process of biology, the chaotic initial value theory is based on the original decomposition-based multiobjective evolutionary algorithm (MOEA/D). The parameter adaptive method and the linear weighted sum method are introduced, and the improved results are obtained by testing the test function. (2) the research on the economy and reliability capacity configuration of distributed power supply in the independent wind and wind complementary system. In this part, the characteristics of photovoltaic power supply, wind turbine and battery are analyzed respectively, and the economic and reliability targets of the system are established, and the optimization of IMOEA/D micro-source capacity configuration is studied. The results are compared with those of other commonly used multi-objective evolutionary algorithms (SPEA,NSGA- 鈪，

本文編號：2220152