电力网络规划现代规划方法的研究 毕业论文.docVIP

摘 要 （明确电网规划与输电网络规划区别）输电网络优化规划的目标是寻求最佳的电网投资决策以保证整个电力系统的长期最优发展。其任务是根据规划期间的负荷增长及电源规划方案，确定相应的最佳电网结构。因此，输电系统的投资决策直接影响着电力系统的长期发展。 遗传算法是一种模拟生物进化过程的全局性优化算法，它根据自然界优胜劣汰的原则进行有哪些信誉好的足球投注网站和优化，己被成功地引入到电力系统的许多方面。利用遗传算法进行电网规划，能在较短的时间内提供若干个最优、次优优化方案，而且能避免一般优化算法的局部最优或维数灾难等问题。 本文在全面介绍遗传算法的操作原理和在电力系统的应用情况的基础上，采用直流潮流法进行潮流计算.本文用Garver-6节点电力系统算例进行计算比较，结果证明改进后的遗传算法更容易和更快地收敛于最优结果。 本文基于遗传算法的输电网络规划软件的开发是通过MATLAB来实现的。 关键词：遗传算法；输电网络规划；电网优化。。。 ABSTRACT（最后定） The target that the transmit electricity network optimization plans is to explore optimum electrified wire netting investment decision to ensure that entire electric system long range is optimum developing, Whose mission is that the increase and the power source plan a scheme , ascertain corresponding the best electric network composition according to the load planning a period. Therefore, the transmission system long range with investment of the electric system making policy direct effect develops. Genetic algorithms (GA), a global optimization algorithm simulating organic evolution ,is based on the mechanism of evolution and natural genetics. It has been successfully introduced into many aspects of electric system. With the use of GA in transmission network planning, several optimal and sub-optimal planning schemes can be provided simultaneously within a short period. The local optimal solution problem and the “dimension disaster” problem that often faze the conventional optimization techniques can be avoided. The improved GA is adopted to solve the transmission network-planning problem in this thesis. After the general introduction to the operational principle and application of simple GA in electric system, DC load flow equation is also embedded in the model to get more accurate.Garver’s six-bus power system example is used to make the computation comparison. The results prove that optimal results can be obtained more easily and faster through the application of improved GA. Another content is the developmet of transmission network planning