电网与主网解列后高频风险自动化抑制方法  

Automatic Suppression Method of High Frequency Risk After Power Grid and Main Network Disconnection

在线阅读下载全文

作  者:邢超超 Xing Chaochao(Guangdong Jingneng Electric Power Construction Co.,Ltd.,Guangzhou 510030,China)

机构地区:[1]广东京能电力建设有限公司,广州510030

出  处:《办公自动化》2024年第23期6-8,共3页Office Informatization

摘  要:近年来,电网与主网解列情况日益增多,导致系统频率快速上升,从而引发高频风险,严重威胁电网的稳定运行,甚至给电力设备造成严重损害。因此,研究电网与主网解列后高频风险的自动化抑制方法,对保障电力系统的安全、稳定运行具有重要意义。文章针对电网与主网解列后可能出现的高频风险,提出一种自动化抑制方法。研究结果表明,所提出的自动化抑制方法能有效降低高频风险,提高电网在解列状态下的稳定性。该方法不仅提高电力系统的应急响应能力,还为电网的智能化管理提供新的技术途径。未来,随着智能电网技术的进一步发展,该方法有望在实际电网中得到广泛应用,为电力系统的安全、稳定运行提供有力保障。In recent years,the disconnection between the power grid and the main network has become more frequent,leading to a rapid increase in system frequency,which triggers high frequency risks,seriously threatening the stable operation of the power grid and potentially causing severe damage to power equipment.Therefore,studying the automatic suppression methods for high frequency risks after the disconnection of the power grid and the main network is of great significance for ensuring the safe and stable operation of power systems.This paper proposes an automatic suppression method to address the high frequency risks that may occur after the disconnection of the power grid and the main network.The research results show that the proposed automatic suppression method can effectively reduce high frequency risks and improve the stability of the power grid in the disconnected state.This method not only enhances the emergency response capability of power systems but also provides a new technical approach for the intelligent management of power grids.In the future,with the further development of smart grid technology,this method is expected to be widely applied in actual power grids,providing a strong guarantee for the safe and stable operation of power systems.

关 键 词:电网解列 高频风险 自动化抑制 智能电网 需求响应 

分 类 号:TM732[电气工程—电力系统及自动化]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象