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作 者:李继宇 江修波[1] 李功新[1,2] 范映 LI Jiyu;JIANG Xiubo;LI Gongxin;FAN Ying(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,China;Fujian Electric Power Company Limited,Sate Grid,Fuzhou 350003,China;Maintenance Branch Company of Fujian Electric Power Co.,Ltd.,State Grid,Fuzhou 350013,China)
机构地区:[1]福州大学电气工程与自动化学院,福建福州350108 [2]国网福建省电力有限公司,福建福州350003 [3]国网福建省电力有限公司检修分公司,福建福州350013
出 处:《电器与能效管理技术》2020年第1期78-85,共8页Electrical & Energy Management Technology
摘 要:为实现主动配电网(ADN)中风、光分布式发电(DG)的充分消纳,促进储能装置及柔性负荷等可控资源的高效利用,提出基于源-网-荷的双层两阶段优化调度。日前双层优化调度阶段上层为有功优化调度,下层为将DG作为无功输出源的无功优化调度,采用二进制混沌蝙蝠算法进行求解;实时调度阶段采用改进数据流在线分割的超短期预测,对日前调度方案进行实时修正。最后,采用修改后的IEEE-33节点系统作为算例,验证了调度方案的有效性。In order to fully absorb apoplexy and optical DG in active distribution network(ADN)and promote the efficient utilization of controllable resources such as energy storage devices and flexible loads,a two-layer two-stage optimal dispatch based on source-network-load was proposed.In the previous two-tier optimal dispatching stage,the upper level is active power optimal dispatching,and the lower level is reactive power optimal dispatching with DG as reactive power output source,which is solved by binary chaotic bat algorithm.In the real-time dispatching stage,ultra-short-term prediction based on improved data stream on-line segmentation is used to revise the previous dispatching scheme in real time.Finally,a modified IEEE-33 bus system is used as an example to verify the effectiveness of the scheduling scheme.
关 键 词:主动配电网 双层优化 实时修正 两阶段调度 需求侧管理
分 类 号:TM73[电气工程—电力系统及自动化]
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