台风灾害下分布式资源协同配置的配电网弹性提升策略OA
Enhancing Resilience of Distributed Resource Coordinated Configuration in Distribution Networks Under Typhoon Disaster
[目的]随着用电设备的增加与自然灾害的频发,对配电网弹性的需求不断提升.为此,提出了一种基于台风灾害下优化分布式资源协同配置的策略.[方法]首先,充分考虑灾前电动汽车用户在台风灾害下参与供电恢复的潜力,并以此构建台风灾害下的电网故障模型和电动汽车灾前调度模型.然后,以配电网负荷缺失成本和电网故障风险成本最低为目标,建立了分布式新能源最优配置模型.最后,以IEEE 33节点系统为例,设置了3种场景并进行了对比研究.[结果]3种场景的对比分析结果表明,所提策略能实现负荷缺失量与支路累计越限功率和两者加权综合值最低.其中,负荷缺失量减少百分比为95.53%,支路累计越限功率和减少率为29.23%.[结论]在台风灾害下,所提策略可以有效恢复系统失负荷,提高电网弹性,并降低系统运行风险.
[Objectives]With the increase of electrical equipment and frequent natural disasters,the demand for distribution network resilience is increasing.Therefore,a strategy of optimizing distributed resource cooperative allocation based on typhoon disaster is proposed.[Methods]First of all,the power supply recovery potential of electric vehicle users participating in typhoon disasters is fully considered,and the power grid failure and electric vehicle pre-disaster scheduling model under typhoon disaster is constructed.Then,aiming at the lowest load loss cost and network fault risk cost,the optimal allocation model of distributed new energy is established.Finally,taking IEEE 33 node system as an example,three scenarios are set up for comparative study.[Results]The comparative analysis results of the three scenarios show that the proposed strategy can achieve the lowest weighted comprehensive value of load loss and sum of branch cumulative over-limit power.Among them,the percentage of load loss reduction is 95.53%,and the reduction rate of the sum of branch cumulative over-limit power is 29.23%.[Conclusions]In the case of typhoon disaster,the proposed strategy can effectively restore the system load loss,improve the elasticity of the power grid,and reduce the operation risk of the system.
熊永康;杜昀;曾振锋;舒展;辛建波;宋冠宏
国网江西省电力有限公司电力科学研究院,江西省 南昌市 330096||南昌大学信息工程学院,江西省 南昌市 330031南昌大学信息工程学院,江西省 南昌市 330031南昌大学信息工程学院,江西省 南昌市 330031国网江西省电力有限公司电力科学研究院,江西省 南昌市 330096国网江西省电力有限公司电力科学研究院,江西省 南昌市 330096南昌大学信息工程学院,江西省 南昌市 330031
能源科技
分布式资源电动汽车调度台风灾害电网弹性多源协同配电网车网协同(V2G)
distributed resourceselectric vehicle dispatchtyphoon disastergrid resiliencemulti-source coordinationdistribution networkvehicle-to-grid(V2G)
《发电技术》 2026 (1)
204-213,10
江西省自然科学基金项目(20232BAB212021,20252BAC240666,20252BAC240026)国家电网有限公司人才培育支持项目(52180025001C-506-RC).Project Supported by Jiangxi Province National Natural Science Foundation Project(20232BAB212021,20252BAC240666,20252BAC240026)Talent Cultivation Support Project of State Grid Corporation of China(52180025001C-506-RC).
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