含微网的配电网优化规划研究

发布时间：2018-01-30 01:18

本文关键词： 电力系统微网配电网组合算法网架规划　出处：《湖南大学》2015年硕士论文　论文类型：学位论文

【摘要】：随着能源危机的到来以及日益增大的环境保护压力,含有风电、光伏发电等分布式电源的微网得到了迅速发展。微网不但能给用户带来清洁的能源和便捷、舒适的生活,还能节能减排,提高供电可靠性。不过,越来越多的微网接入也给电力系统的规划和运行提出了更高、更新的要求。面对大量微网接入给配电网带来的重大变革,研究微网接入对配电网的影响,建立一个微网接入配电网的标准体系,并进一步研究含微网的配电网规划方法是很有必要的。而且,要保障电力系统安全、可靠、经济地运行,科学合理的电力系统规划是重要的前提。在这样的背景下,本文重点从变电站选址及容量配置、配电网网架规划及其算法两个方面对含微网的配电网优化规划进行研究。本文从微网的概念和特点出发,概述了对微网对配电网造成的影响,在此基础上进行了含微网的配电网规划研究。首先,研究了含微网的配电网规划算法。通过对遗传算法和蚁群算法各自优缺点的分析,结合了两种算法的优点,取长补短,构建了两种组合算法。然后,对遗传-蚁群和蚁群-遗传这两种组合算法进行了对比分析。其次,本文建立了配电网变电站规划的数学模型,并采用多源连续选址优化方法进行求解,得到了理想的变电站选址定容规划结果。论文结合微网的特点以及微网对配电网造成的影响,以最小的线路投资成本、网络损耗费用和停电损失成本之和为目标函数,构建了网架规划模型,并加入了电压、支路功率、潮流、倒送功率等约束条件。最后,采用了含38个负荷节点和4个微网的算例,分别运用遗传算法、蚁群算法、遗传-蚁群组合算法、蚁群-遗传组合算法进行了仿真。仿真结果证明了含微网的配电网规划模型和蚁群-遗传算法的合理性及有效性。通过对于这四种算法得出的规划结果以及算法性能的分析,得出蚁群-遗传组合算法要优于其它三种算法,研究结果具有一定的实际工程意义。
[Abstract]:With the arrival of the energy crisis and increasing environmental protection pressure, microgrids with wind power, photovoltaic power generation and other distributed power have been rapidly developed. Microgrid can not only bring clean energy and convenience to users. Comfortable life can also save energy and reduce emissions, improve the reliability of power supply. However, more and more microgrid access also provides higher power system planning and operation. In the face of a large number of microgrid access to the distribution network, the impact of microgrid access on the distribution network is studied, and a standard system of microgrid access to distribution network is established. Furthermore, it is necessary to further study the distribution network planning method with microgrid. Moreover, it is necessary to ensure the safe, reliable and economical operation of the power system. Scientific and reasonable power system planning is an important prerequisite. In this context, this paper focuses on substation location and capacity allocation. The optimal planning of distribution network with microgrid is studied in two aspects of distribution network frame planning and its algorithm. This paper summarizes the influence of micro-grid on distribution network from the concept and characteristics of micro-grid. On this basis, the distribution network planning with microgrid is studied. Firstly, the distribution network planning algorithm with microgrid is studied. Through the analysis of the advantages and disadvantages of genetic algorithm and ant colony algorithm, the advantages of the two algorithms are combined. Then, the genetic ant colony and ant colony genetic algorithm are compared and analyzed. Secondly, the mathematical model of distribution network substation planning is established in this paper. By using the multi-source continuous location optimization method, the optimal location planning results of substation location are obtained. Combining the characteristics of micro-grid and the influence of micro-grid on distribution network, the minimum line investment cost is obtained. The sum of the cost of network loss and the cost of power outage is the objective function. A network planning model is constructed, and constraints such as voltage, branch power, power flow, and power supply are added. Finally. An example with 38 load nodes and 4 microgrids is used, and genetic algorithm, ant colony algorithm and genetic ant colony combination algorithm are used respectively. The simulation results show that the distribution network planning model with microgrid and ant colony genetic algorithm are reasonable and effective. Performance analysis. It is concluded that the ant colony genetic combination algorithm is superior to the other three algorithms, and the research results have some practical engineering significance.
【学位授予单位】：湖南大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM715

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