基于遗传算法的电力市场环境下电源规划的研究

通过对电力市场条件下电力系统电源规划的研究,提出了市场环境下的电源规划模型和算法,该模型以传统电源规划为基础,在体现可靠性与经济性综合运筹的同时兼顾了可持续发展问题。该模型采用Grefenstette编码的遗传算法进行求解,在求解过程中对简单遗传算法的算子进行了部分改进,不仅能可靠获得全局最优解和次优解,而且加大了求解规模与速度。给出的算例和结果表明该文提出的模型和算法均合理有效。

Study of Generation Expansion Planning Based on Genetic Algorithms in the Environment of Electricity Market

The paper puts forward the model and arithmetic through the study of the generation expansion planning in power system under the condition of electricity market. The model based on traditional planning demonstrates the cooperation of reliability, economy and centinuable develop- ment .The resolve to the objective function is obtained by the Genetic Algorithms based on Grefenstette coding. In the process of resolving, the model can not only get the best result and hypo-result, but also increase the scale and speed of computation. The obtained results of numeral examples indicate that the model and arithmetic are both reasonable and effective.