电力科学与技术学报2023,Vol.38Issue(6) :96-104.DOI:10.19781/j.issn.1673-9140.2023.06.010

含广域混合储能互联电力系统的负荷频率控制

Load frequency control of interconnected power system with wide-area hybrid energy storage

鲁志远 刘世林 范保程 孙波
电力科学与技术学报2023,Vol.38Issue(6) :96-104.DOI:10.19781/j.issn.1673-9140.2023.06.010

含广域混合储能互联电力系统的负荷频率控制

Load frequency control of interconnected power system with wide-area hybrid energy storage

鲁志远 1刘世林 1范保程 1孙波1
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作者信息

  • 1. 高端装备先进感知与智能控制教育部重点实验室(安徽工程大学),安徽 芜湖 241000
  • 折叠

摘要

为解决电力系统调频存在的灵活性资源不足和调节特性欠佳问题,针对抽水蓄能和电池储能广域接入情况下的互联电力系统,提出一种基于分布式模型预测控制的负荷频率协调优化控制方法.首先,根据互联电力系统中各主要元件的频率响应特性,建立互联电力系统频率响应的状态空间模型;然后,充分考虑系统受到的各种约束,确定优化控制目标,分别对各区域的控制器进行设计;最后,对所提负荷频率协调优化控制方法的可行性和有效性进行仿真验证.结果显示该方法不仅对广域混合储能互联电力系统的频率响应特性有很好的改善,而且当系统频率发生变化时,能够使不同储能形式进行合理的响应.

Abstract

In order to solve the problems of insufficient flexible resources and poor regulation characteristics of power system frequency regulation,a load frequency coordination optimization control method based on distributed model predictive control is proposed for the interconnected power system with the wide-area access of pumped storage and battery energy storage.Firstly,according to the frequency response characteristics of the main components in the interconnected power system,the state space model of the frequency response of the interconnected power system is established.Then,taking into account the constraints on the system,the optimal control targets are determined,and the controllers are designed in each area,respectively.Finally,the feasibility and effectiveness of the proposed load frequency coordinated optimization control method are verified in simulation.The results show that the method not only improves the frequency response characteristics of the wide-area hybrid energy storage interconnected power system,but also enables different energy storage forms to respond reasonably when the system frequency changes.

关键词

广域混合储能/互联电力系统/负荷频率控制/分布式模型预测控制/状态空间模型

Key words

wide-area hybrid energy storage/interconnected power system/load frequency control/distributed model predictive control/state space model

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基金项目

安徽省重点研究与开发计划项目(202004a05020014)

出版年

2023
电力科学与技术学报
长沙理工大学

电力科学与技术学报

CSTPCDCSCD北大核心
影响因子:0.85
ISSN:1673-9140
被引量1
参考文献量14
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