基于模拟退火算法改进的人工鱼群算法(SA_AFSA)的微电网能量优化调度研究  

RESEARCH ON OPTIMAL SCHEDULING OF MICROGRID ENERGY BASED ON SA_AFSA

作　　者：何力 吕红芳[1] 李俊甫 俞立春 He Li;Lyu Hongfang;Li Junfu;Yu Lichun(College of Electrical Engineering,Shanghai Dianji University,Shanghai 201306,China)

机构地区：[1]上海电机学院电气学院,上海201306

出　　处：《太阳能学报》2020年第9期36-43,共8页Acta Energiae Solaris Sinica

基　　金：上海市经济和信息化委员会专项资金(12AZ22)。

摘　　要：由于微电网中含有不同特性的分布式电源,为了实现微电网经济运行,在满足约束条件的前提下,提出一种考虑经济性、环保性、自治性的微电网能量优化调度模型。由于在求解问题时,自适应人工鱼群算法(AAFSA)精度低,提出SA_AFSA,通过该算法来求解微电网优化调度问题。实验结果表明,SA_AFSA可解决AAFSA求解精度低、收敛速度慢的问题,可实现微电网经济运行。Because of the distributed power supply with different characteristics in microgrid,in order to achieve the economic operation of microgrid,a scheduling optimization model considering energy saving,environmental protection and autonomy is proposed under the premise of meeting the constraints.Because of the low accuracy of adaptive artificial fish swarm algorithm(AAFSA),the simulated annealing_artificial fish-swarm algorithm(SA_AFSA)is proposed to solve the microgrid optimal scheduling problem.The experimental results show that the SA_AFSA algorithm solves the problem of low accuracy and slow convergence of the AAFS algorithm,and realizes the economic operation of the microgrid.

关 键 词：微电网 优化调度 经济性 环保性 自治性 SA_AFSA 

分 类 号：TM73[电气工程—电力系统及自动化]