系统仿真学报 ›› 2018, Vol. 30 ›› Issue (4): 1551-1559.doi: 10.16182/j.issn1004731x.joss.201804042

• 仿真应用工程 • 上一篇    下一篇

基于人工蜂群算法的微网并网优化运行

崔秋丽   

  1. 苏州工业职业技术学院机电工程系,苏州 215104
  • 收稿日期:2016-04-25 修回日期:2016-08-11 出版日期:2018-04-08 发布日期:2019-01-04
  • 作者简介:崔秋丽(1978-),女,山西临汾,本科,讲师,研究方向为新能源发电控制技术。

Optimal Operation of Grid-connected Microgrid Based on ABC Algorithm

Cui Qiuli   

  1. Department of Mechanical and Electrical Engineering, Suzhou Institute of Industrial Technology, Suzhou 215104, China
  • Received:2016-04-25 Revised:2016-08-11 Online:2018-04-08 Published:2019-01-04

摘要: 针对含有风力发电机、光伏电池、燃料电池和蓄电池的微网系统,综合考虑经济性与环保性,建立微网并网运行下的优化调度模型。为最大化发挥微网系统“削峰填谷”的作用,基于分时电价机制设计一种结合削峰填谷启发式规则的并网能量调度策略,通过监测净负荷状态和电价时段以及对特定状态下各微源的功率调整等,得到系统最优能量调度状态。针对所建立的微网并网优化调度模型,提出将人工蜂群算法运用到该调度问题中,以迭代次数线性调整的控制参数改进蜂群搜索频率。仿真结果验证了微网并网优化调度模型、策略和算法的可行性和有效性。

关键词: 微网, 并网, 优化运行, 人工蜂群算法

Abstract: An optimal scheduling model of grid-connected microgrid composed of wind power generators, photovoltaic cells, fuel cells and batteries is established. The economy and environmental protection elements are considered in this model. To maximize the role of peak shaving and valley filling in microgrid system, based on the time-of-use price mechanism, the heuristic rules combined with peak shaving and valley filling is used to design a grid-connected energy scheduling strategy. By monitoring the net load state and the price time interval, and adjusting the particular state of the micro source of power, the system optimal energy scheduling state is obtained. The ABC algorithm is applied to solve the established optimization scheduling model of grid-connected microgrid. The bee colony search frequency is improved by control parameter for linear adjustment of iteration times. The simulation results prove that the model and scheduling strategy of grid-connected microgrid is feasible and effective.

Key words: lithium-ion battery, SOC, model adaptive, PI regulator, OCV, Ah

中图分类号: