首页|考虑储能提供灵活爬坡服务的配电网日前调度协同优化策略研究

考虑储能提供灵活爬坡服务的配电网日前调度协同优化策略研究

Research on Coordinated Optimization Strategy for Day-ahead Dispatch of Distribution Network Considering Flexible Ramping Service of Energy Storage

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针对新能源发电快速发展和电力系统对灵活性需求的增加,设计了一种考虑储能系统特性的灵活爬坡服务交易机制与配电网日前调度的协同优化策略.首先,分析了灵活爬坡需求的供需平衡机理,根据储能系统荷电状态提出了储能系统提供灵活爬坡服务的竞价策略,建立了灵活爬坡服务交易的模型,并提出了考虑灵活爬坡交易计划的配电网最优调度策略;然后,为保障交易计划与调度计划的协同优化结果,采用了目标级联法对模型解耦并求解;最后,以IEEE 33 节点系统验证了所提策略与模型的有效性.
With the rapid development of renewable energy and the increasing demand for flexibility in power system,a flexible ramping service transaction mechanism and a coordinated optimization strategy for day-ahead dispatching of distribution network are designed considering the characteristics of energy storage system.Firstly,the supply and demand balance mechanism of flexible ramping demand is analyzed,and then a bidding strategy for energy storage to provide flexible ramping services is established based on the state of charge of energy storage system.Secondly,after establishing a model for flexible ramping service transactions,an optimal dispatching strategy for distribution network considering flexible ramping transaction plans is established.And then,in order to ensure the coordinated optimization results of the transaction plan and the dispatch plan,the analysis target cascading is used to decouple and solve the model.Finally,the effectiveness of the proposed strategy and model is verified by IEEE 33-node system.

flexible ramping serviceenergy storage systemrenewable energydistribution networkcoordinated optimization

汪伟、任志超、马瑞光、焦杰、陶晓丽、李华强、臧天磊、师文杰

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国网四川省电力公司经济技术研究院,四川 成都 610041

四川大学电气工程学院,四川 成都 610065

灵活爬坡服务 储能系统 新能源 配电网 协同优化

2024

四川电力技术
四川省电机工程学会 四川电力试验研究院

四川电力技术

影响因子:0.347
ISSN:1003-6954
年,卷(期):2024.47(6)