摘要
微电网经济运行优化问题的求解常常伴随着多约束、非连续和多发电机组等问题的制约。针对该问题,提出一种免疫粒子群算法,算法将人工免疫系统引入到粒子群算法中,既能保证算法本身的收敛性,也能在免疫环节中使粒子较为均匀地分布于解空间内,因而保证了算法的全局寻优能力和鲁棒性。将该算法分别用于求解微电网的孤岛、并网两种运行两种模型实例,并与其他三种算法进行比较,实验结果表明该算法可以有效求解微电网经济优化问题。
Some restrictions are accompanied when solving the optimal economic dispatch of microgrid, such as multi-constraints, discontinuities and multi-generators. An immune particle swarm optimization （1MPSO） algorithm is proposed, which introduces the artificial immune system into particle swarm optimization （PSO） algorithm and can ensure the PSO convergence as well as exerting the immune mechanism to make the particles uniformly distributed in solution plane. The algorithm possesses the virtues like global probe and robustness and is used to solve two operating modes of island and grid- connected in microgrid respectively. The experimental results show that the IMPSO provides a feasible and advanced method in comparison with other three intelligent algorithms.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2018年第2期636-646,共11页
Journal of System Simulation
基金
国家自然科学基金(61572237
61573167)
关键词
免疫粒子群算法
经济运行优化
微电网模型
微电网运行方式
免疫机制
immune particle swarm optimization
economic dispatch
microgrid model
microgrid operation mode
immune mechanism
