基于布谷鸟算法的微电网多目标优化运行研究
发布时间：2018-08-04 18:41
【摘要】：微电网作为一种新兴的发配电系统,是对大电网很好的弥补。微电网的加入增加了大电网的可靠性与灵活性,同时微电网的发展可以使风能、太阳能等清洁能源得到更加有效的利用。现有的相关研究也表明,将分布式发电单元以微电网的形式与大电网进行连接,是提高分布式发电单元效能的有效方法。然而,微电网作为一门新型的发电技术,仍存在许多亟待解决的问题。其中,对微电网的负荷进行优化调度可以有效的提高能源的利用效率,降低污染物的排放以及微电网的发电成本,对微电网系统能够经济、环保的运行具有重大意义。本文研究主要内容包括:首先对基本布谷鸟算法以及极值动力学算法进行了分析和研究,在此基础上,针对布谷鸟算法存在的求解精度低以及容易陷入局部最优点等缺点,提出了一种改进的布谷鸟算法:CS-EO算法,该算法在布谷鸟算法的框架中融入了极值动力学优化算法来提高局部寻优性能,并通过5个标准的测试函数证明了CS-EO算法无论是是在寻优精度上还是在寻优速度上都要比CSA以及PSO具有更好的性能。其次,针对热电联供型微电网,该微电网中含有光伏电池,风力发电机,柴油发电机,燃料电池,微型燃气轮机,电锅炉以及电热储能设备,并在详细分析了微电网中各分布式电源的发电特点的基础上,建立了各微电源的数学模型。在此基础上以运行成本最少和排污惩罚费用最低为目标建立了微电网优化运行目标函数,并详细说明了微电网运行约束条件及其相关处理方法。最后详细介绍了基于改进布谷鸟算法的微电网优化调度模型的求解过程,在此基础上,选取某地区的热电联产型微电网为例,以24小时为一个调度周期来进行优化调度,并最终对优化结果进行了分析,认为改进的布谷鸟算法可以很好的对微电网的负荷进行优化调度。
[Abstract]:As a new generation and distribution system, microgrid is a good remedy for large power grid. The addition of micro-grid increases the reliability and flexibility of large power grid, and the development of micro-grid can make the clean energy such as wind energy and solar energy more effective. The existing researches also show that it is an effective method to improve the efficiency of distributed generation units by connecting distributed generation units to large power grids in the form of microgrid. However, as a new generation technology, there are still many problems to be solved. Among them, the optimal dispatching of microgrid load can effectively improve the efficiency of energy use, reduce the emission of pollutants and the generation cost of micro-grid. It is of great significance for the micro-grid system to operate economically and environmentally. The main contents of this paper are as follows: firstly, the basic Cuckoo algorithm and the extremum dynamics algorithm are analyzed and studied. On this basis, the Cuckoo algorithm has the disadvantages of low precision and easy to fall into the local optimum. An improved CS-EO algorithm is proposed in this paper, which integrates the extreme dynamic optimization algorithm into the frame of the Cuckoo algorithm to improve the performance of local optimization. Through five standard test functions, it is proved that the CS-EO algorithm has better performance than CSA and PSO in both the accuracy of optimization and the speed of optimization. Secondly, the microgrid, which contains photovoltaic cells, wind turbines, diesel generators, fuel cells, micro gas turbines, electric boilers and electrothermal energy storage equipment, is aimed at the thermoelectric co-supply microgrid, which contains photovoltaic cells, wind turbines, diesel generators, fuel cells, micro gas turbines, electric boilers and electrothermal energy storage equipment. Based on the detailed analysis of the characteristics of the distributed power generation in the microgrid, the mathematical models of each micro-power source are established. On the basis of this, the objective function of optimal operation of microgrid is established with the aim of minimum operating cost and the lowest cost of sewage penalty, and the operating constraints and related processing methods of microgrid are explained in detail. Finally, the process of solving the optimal dispatching model of microgrid based on the improved Cuckoo algorithm is introduced in detail. On this basis, the heat and power cogeneration microgrid in a certain area is selected as an example, and the scheduling period is 24 hours. Finally, the optimization results are analyzed, and it is concluded that the improved cuckoo algorithm can be used to optimize the load scheduling of microgrid.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP18;TM732
[Abstract]:As a new generation and distribution system, microgrid is a good remedy for large power grid. The addition of micro-grid increases the reliability and flexibility of large power grid, and the development of micro-grid can make the clean energy such as wind energy and solar energy more effective. The existing researches also show that it is an effective method to improve the efficiency of distributed generation units by connecting distributed generation units to large power grids in the form of microgrid. However, as a new generation technology, there are still many problems to be solved. Among them, the optimal dispatching of microgrid load can effectively improve the efficiency of energy use, reduce the emission of pollutants and the generation cost of micro-grid. It is of great significance for the micro-grid system to operate economically and environmentally. The main contents of this paper are as follows: firstly, the basic Cuckoo algorithm and the extremum dynamics algorithm are analyzed and studied. On this basis, the Cuckoo algorithm has the disadvantages of low precision and easy to fall into the local optimum. An improved CS-EO algorithm is proposed in this paper, which integrates the extreme dynamic optimization algorithm into the frame of the Cuckoo algorithm to improve the performance of local optimization. Through five standard test functions, it is proved that the CS-EO algorithm has better performance than CSA and PSO in both the accuracy of optimization and the speed of optimization. Secondly, the microgrid, which contains photovoltaic cells, wind turbines, diesel generators, fuel cells, micro gas turbines, electric boilers and electrothermal energy storage equipment, is aimed at the thermoelectric co-supply microgrid, which contains photovoltaic cells, wind turbines, diesel generators, fuel cells, micro gas turbines, electric boilers and electrothermal energy storage equipment. Based on the detailed analysis of the characteristics of the distributed power generation in the microgrid, the mathematical models of each micro-power source are established. On the basis of this, the objective function of optimal operation of microgrid is established with the aim of minimum operating cost and the lowest cost of sewage penalty, and the operating constraints and related processing methods of microgrid are explained in detail. Finally, the process of solving the optimal dispatching model of microgrid based on the improved Cuckoo algorithm is introduced in detail. On this basis, the heat and power cogeneration microgrid in a certain area is selected as an example, and the scheduling period is 24 hours. Finally, the optimization results are analyzed, and it is concluded that the improved cuckoo algorithm can be used to optimize the load scheduling of microgrid.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP18;TM732
【参考文献】
相关期刊论文 前10条
1 李正茂;张峰;梁军;，
本文编号：2164773
本文链接：https://www.wllwen.com/kejilunwen/zidonghuakongzhilunwen/2164773.html
