基于多Agent协作控制的风电场功率调度策略  

WIND FARM POWER DISPATCHING CONTROL STRATEGY BASED ON MULTI-AGENT SYSTEM

作　　者：肖运启[1] 张晓航 苗田银 孙燕平[3] Xiao Yunqi;Zhang Xiaohang;Miao Tianyin;Sun Yanping(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China;China Datang Corporation Science and Technology Research Institute Co.,Ltd.,Northwest Branch,Xi＇ an 710065,China;North China Electric Power Research Institute Co.,Ltd.,Beijing 100045,China)

机构地区：[1]华北电力大学控制与计算机工程学院,北京102206 [2]中国大唐集团科学技术研究院有限公司西北分公司,西安710065 [3]华北电力科学研究院有限责任公司,北京100045

出　　处：《太阳能学报》2018年第7期2003-2011,共9页Acta Energiae Solaris Sinica

基　　金：中央高校基本科研业务费专项(2018MS27)

摘　　要：提出一种基于多Agent协作控制的风电场功率分布式控制策略。首先,设计风电场多Agent系统的架构;其次,为减少风电机组目标功率波动,提出一种基于风电机组功率变化趋势分类调度的方法,详细介绍机组分组策略以及基于各级Agent协作下风电场升-降功率控制策略;最后,基于Java/JADE平台建立风电场多Agent系统控制模型。仿真结果表明,该方法在功率目标跟踪性及稳定性上较常规方法均有良好改善。With the trend of wind farm to large-scale,complexity and openness,conventional centralized power controlshould be inevitably converted to distributed control gradually.Therefore,a novel Multi-Agent based strategy for activepower control of wind farm is proposed.Firstly,a Multi-Agent based control structure for wind farm is designed.Secondly,in order to reduce the fluctuation of wind turbine power references between each schedule period,a MultiAgent control method based on wind turbine classification according to their predicted power varying trends,is proposedin details,including unit grouping strategy and reference power increasing or decreasing control strategy.Finally,aMulti-Agent control model of wind farm is established on Java/JADE platform.Simulation results show the improvementson wind farm reference power tracking and wind turbine power fluctuation reducing,compared to conventional method,which verify the efficiency of method proposed.

关 键 词：风力发电 风电机组 功率控制 多AGENT系统 JADE平台 

分 类 号：TM614[电气工程—电力系统及自动化]