首页|极端天气下考虑分布式电源可用程度的配电网多源协同恢复策略

极端天气下考虑分布式电源可用程度的配电网多源协同恢复策略

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为了提升配电网对极端天气的抵御及恢复能力,需要充分发挥分布式电源、储能系统、移动电源等海量配电网弹性资源的应用潜力,通过资源调度为配电网供电恢复提供支撑,最大限度保证配电网在极端天气下的功能完整性.为此,针对台风过境后的配电网和交通网故障状态,提出一种考虑台风影响下分布式电源可用程度的配电网多源协同恢复策略,建立计及分布式电源、自备储能和移动应急电源等多种灵活资源的配电网多时段故障恢复模型,实现台风过境后配电网故障负荷的快速恢复.首先,分析台风过境后的分布式电源可用程度;其次,针对交通网的故障状态,分析移动资源的最短行驶时间与路径;最后,采用IEEE 33节点配电系统与33节点交通网对所提策略进行验证,利用MATLAB+YALMIP+CPLEX工具箱创建优化模型并求解.结果表明,所提策略能够有效地利用多种灵活资源之间的时序配合,对负荷恢复起到良好的支撑作用.
Multi-source Cooperative Restoration Strategy of Distribution Network Considering Availability of Distributed Generation in Extreme Weather
In order to improve the ability of distribution network to resist and recover from extreme events,it is necessary to give full play to the application potential of massive distribution network elastic resources such as distributed power supply,energy storage system and mobile power supply,and provide support for distribution network power supply recovery through resource scheduling,so as to ensure the functional integrity of distribution network in the whole process of extreme weather to the greatest extent.Therefore,aiming at the fault state of the distribution network and traffic network after typhoon,this paper proposes a multi-source collaborative restoration strategy of the distribution network considering the availability of distributed generation(DG)under the influence of typhoon.A multi-period fault recovery model of the distribution network considering various flexible resources such as distributed power supply,self-provided energy storage and mobile emergency power supply is established,which realizes the rapid recovery of fault load of distribution network after typhoon transit.Firstly,the paper analyzes the availability of DG after typhoon transit.Secondly,it analyzes the shortest travel time and path of mobile resources for the fault state of transportation network.Finally,it uses the IEEE 33 node distribution system and 33 node transportation network for verification.The optimization model is created and solved by MATLAB+YALMIP+CPLEX toolbox.The final results show that the method can effectively use the timing coordination between various flexible resources to support load recovery.

fault recoverymulti-source collaborationextreme weatherdistributed generation(DG)mobile emergency resource

杜维、杜兆斌、范国晨、李峰、龚贤夫、孙志媛、韦化、李耀东

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华南理工大学 电力学院,广东广州 510641

广东电网有限责任公司,广东广州 510620

广西电网有限责任公司电力科学研究院,广西南宁 530023

广西大学,广西南宁 530004

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故障恢复 多源协同 极端天气 分布式电源 移动应急资源

中国南方电网有限责任公司科技项目中国南方电网有限责任公司科技项目

037700KK52220040GDKJXM20220893

2024

广东电力
广东电网公司电力科学研究院,广东省电机工程学会

广东电力

CSTPCD北大核心
影响因子:0.527
ISSN:1007-290X
年,卷(期):2024.37(7)
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