Suzhou Electric Appliance Research Institute
期刊号: CN32-1800/TM| ISSN1007-3175

Article retrieval

文章检索

首页 >> 文章检索 >> 往年索引

基于人工蜂群算法的微电网环保经济调度

来源:电工电气发布时间:2016-10-19 08:19 浏览次数:8
基于人工蜂群算法的微电网环保经济调度
 
薛贵挺,张健
(国网北京市电力公司,北京 100031)
 
    摘 要:为解决含多种分布式能源的微电网负荷优化分配问题,建立了以系统总成本最小为目标函数,以系统安全运行为约束条件的微电网环保经济调度模型。将人工蜂群算法应用到模型求解中,通过14 节点系统验证该模型和方法的有效性。算例结果分析表明,通过合理安排微电网内部“可控”分布式电源(DG)的出力和分布式储能(DS) 的充放电功率,实现了负荷转移,有效降低了微电网系统总成本。
    关键词:分布式电源;分布式储能;微电网;运行优化;人工蜂群算法
    中图分类号:TM714     文献标识码:A     文章编号:1007-3175(2016)10-0057-04
 
Environmental and Economic Dispatch of Microgrid Based on
Artificial Bee Colony Algorithm
 
XUE Gui-ting, ZHANG Jian
(State Grid Beijing Electric Power Company, Beijing 100031, China)
 
    Abstract: In order to solve the optimal load distribution problem of microgrid with multiple distributed energy resource, this paper established the function taking the minimum total cost as its objective and the environmental economic dispatch model of microgrid with the system security operation as its constraints. Artificial bee colony algorithm was applied in the solution method for model and the validity of this method was verified by the 14-node system. The result analysis of algorithm case shows that the reasonable arrangement capacity of microgrid interior controllable distributed generation and the charging and discharging power of distributed energy storage realizes the load transfer and reduces the total cost of microgrid system.
    Key words: distributed generation; distributed energy storage; microgrid; operation optimization; artificial bee colony algorithm
 
参考文献
[1] 苗轶群,江全元,曹一家. 考虑电动汽车随机接入的微网优化调度[J]. 电力自动化设备,2013,33(12):1-7.
[2] 张美霞,陈洁,杨秀,等. 微网经济运行研究综述[J]. 华东电力,2012,40(9):1480-1485.
[3] 陈健,王成山,赵波,等. 考虑储能系统特性的独立微电网系统经济运行优化[J]. 电力系统自动化,2012,36(20):25-31.
[4] 石庆均,耿光超,江全元. 独立运行模式下的微网实时能量优化调度[J]. 中国电机工程学报,2012,32(16):26-35.
[5] 王锐,顾伟,吴志. 含可再生能源的热电联供型微网经济运行优化[J]. 电力系统自动化,2011,35(8):22-27.
[6] 邢龙, 张沛超, 方陈, 等. 基于广义需求侧资源的微网运行优化[J]. 电力系统自动化,2013,37(12):7-12.
[7] 薛贵挺,张焰,刘玉娇,等. 基于克隆选择算法的微电网多目标运行优化[J]. 电力自动化设备,2014,34(3):16-21.
[8] 万术来. 基于改进粒子群算法的微网环保经济运行的优化[D]. 广州:华南理工大学,2012.
[9] KARABOGA D.An idea based on honey bee swarm for numerical optimization[R].Kayseri:ErciyesUniversity,2005.