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1.浙江大学电气工程学院,浙江省杭州市 310027
2.国网浙江杭州市萧山区供电有限公司,浙江省杭州市 311200
张舒鹏(1996—),男,硕士研究生,主要研究方向:电网储能调频、综合能源系统运行。E-mail:1043264292@qq.com
董树锋(1982—),男,通信作者,博士,副教授,主要研究方向:输配一体化电网分析、配电网建模和分析。E-mail:dongshufeng@zju.edu.cn
徐成司(1995—),男,硕士研究生,主要研究方向:综合能源系统运行、配电网建模。E-mail:3140103128@zju.edu.cn
收稿日期:2020-03-12,
修回日期:2020-06-20,
网络出版日期:2020-08-13,
纸质出版日期:2020-10-10
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张舒鹏,董树锋,徐成司等.大规模储能参与电网调频的双层控制策略[J].电力系统自动化,2020,44(19):55-62.
ZHANG Shupeng,DONG Shufeng,XU Chengsi,et al.Bi-level Control Strategy for Power Grid Frequency Regulation with Participation of Large-scale Energy Storage[J].Automation of Electric Power Systems,2020,44(19):55-62.
张舒鹏,董树锋,徐成司等.大规模储能参与电网调频的双层控制策略[J].电力系统自动化,2020,44(19):55-62. DOI: 10.7500/AEPS20200312007.
ZHANG Shupeng,DONG Shufeng,XU Chengsi,et al.Bi-level Control Strategy for Power Grid Frequency Regulation with Participation of Large-scale Energy Storage[J].Automation of Electric Power Systems,2020,44(19):55-62. DOI: 10.7500/AEPS20200312007.
风电等可再生能源大规模并网,其间歇性和波动性的出力特性会给电网带来机组调频容量不充足、调频效果不理想等调频问题。为此,文中提出一种大规模储能参与电网调频的双层控制策略。首先,基于复频域分析提出区域调节需求信号分配模式和区域控制误差信号分配模式的切换时机判据。然后,全面考虑不同调频电源的技术特征,提出大规模电池储能和火电机组协调响应系统自动发电控制指令的双层控制策略
在上层基于电源调频成本函数实现多约束条件下的功率经济分配,在下层基于模型预测控制实现频率分布式优化控制。最后
通过仿真验证了文中所提策略的经济性和有效性。
When large-scale renewable energy such as wind power is integrated into power grid
the intermittency and fluctuation of its output characteristics bring problems such as insufficient frequency regulation capacity and unsatisfactory frequency regulation performance to power grid. Therefore
a bi-level control strategy for power grid frequency regulation with participation of large-scale energy storage is proposed. Firstly
a criterion for switching between area regulation requirement and area control error allocation modes is proposed based on the analysis in the complex frequency domain. Secondly
considering technical characteristics of different frequency regulation power sources comprehensively
a bi-level control strategy is proposed for the coordinated response to automatic generation control instructions with large-scale battery energy storage and thermal power generation units. In the upper layer
the economic distribution of power is realized based on the frequency regulation cost function of power sources. In the lower layer
distributed optimal control of frequency is realized based on model predictive control. Finally
the economics and effectiveness of the proposed strategy are verified by simulation.
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