期刊文献+

商业园区储能系统削峰填谷的有功功率协调控制策略 被引量:46

Active Power Coordinated Control Strategy of Peak Load Shifting for Energy Storage System in Business Park
下载PDF
导出
摘要 作为未来重要的电力用户,商业园区建设将成为智能电网建设的重要内容之一。商业园区中储能系统最基本的作用是进行负荷侧的削峰填谷,在给园区带来经济收益的同时,也保证了电网运行的安全性。提出了一种储能系统削峰填谷的变参数功率差控制策略,基于园区典型日负荷预测曲线,对负荷状态和储能SOC状态进行区间划分,提出了对应的子目标函数,采用适应度函数变差系数排序法确定各子目标函数权重,对目标函数进行寻优,确定不同负荷区间与SOC区间的储能系统控制策略。最后,以上海某商业园区为例进行了仿真,验证了所提控制策略的有效性。 As an important power user in the future, the construction of business parks is one of the important contents of smart grid construction. The most basic function of the energy storage system(ESS) in business park is to cut peak and fill valley, which can bring economic benefits to the park and ensure the safety of grid. The variable parameter power difference control strategy for ESS is proposed to cut peak and fill valley. Based on the typical daily load prediction of the park, it divides the load interval and state of charge(SOC) stages of ESS. The relevant sub-objective functions are proposed. Based on the fitness function variation coefficient sorting method, the weight of each sub-objective function is determined. Then the objective function is optimized and the control strategies of different load and SOC intervals are determined. Finally, based on a business park in Shanghai, the simulation is carried out and the effectiveness of the proposed method is verified.
作者 杨锡运 董德华 李相俊 马雪 耿娜 贾学翠 YANG Xiyun;DONG Dehua;LI Xiangjun;MA Xue;GENG Na;JIA Xuecui(School of Control and Computer Engineering,North China Electric Power University,Changping District,Beijing 102206,China;State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems(China Electric Power Research Institute),Haidian District,Beijing 100192,China;EPRI of Jilin Electric Power Co.,Ltd.,Changchun 130021,Jilin Province,China)
出处 《电网技术》 EI CSCD 北大核心 2018年第8期2551-2561,共11页 Power System Technology
基金 国家电网公司总部科技项目(DG71-16-012) 国家自然科学基金(51677067) 中央高校基本科研业务费专项资金(2015MS32)~~
关键词 商业园区 电池储能系统 削峰填谷 荷电状态 日负荷预测 business park battery energy storage system peak load shift SOC daily load prediction
  • 相关文献

参考文献15

二级参考文献178

共引文献678

同被引文献587

引证文献46

二级引证文献413

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部