摘要
针对多类型分布式电源(DG)接入配电网的合理选择以及配置问题,且充分发挥DG潜在的环境效益,建立了DG总的发电成本,有功损耗和静态电压稳定裕度的多目标规划模型,并提出一种改进的多目标自由搜索算法(IMOFS)。该算法根据进化的时期自适应调整搜索半径和搜索步来提高算法性能,并且基于综合适应度机制更新个体搜索起点,提高搜索速度。为了获取分布更加均匀的Pareto前端,采用自适应网格法对非支配解集进行维护,从而提供良好的候选方案。算例结果表明:算法能够很好地协调各目标之间的相关性,验证了模型的合理性和算法的有效性。
Aiming at the problems of reasonable selection and configuration of multi-type distributed generators（DG） connected to the distribution network, and giving full play to the potential environmental benefits of DG, a multi-objective programming model, which entails the total generation cost of DG, the active power loss and static voltage stability indices is established, with the improved multi-objective free search algorithm（IMOFS） proposed.The algorithm improves its performance by dynamically adjusting the search radius and the search steps according to the period of evolution, and its speed by updating the individual search starting point based on the comprehensive fitness mechanism. In order to obtain the Pareto front more evenly, the adaptive grid method is adopted to maintain the non-dominated solution set, thus providing a good candidate. The results show that the algorithm can coordinate well the relationship among various objectives, and verify the rationality of the model and the effectiveness of the algorithm.
出处
《电力科学与工程》
2015年第10期27-32,共6页
Electric Power Science and Engineering
关键词
分布式电源
环境效益
多目标自由搜索算法
搜索半径
综合适应度
distributed generator
environmental benefit
multi-objective free search algorithm
search radius
comprehensive fitness
