摘要
To address the limitations of traditional planning methods in handling complex scenarios such as multi-feeder or substation cluster supply under high photovoltaic(PV)penetration,this paper proposes a collaborative configuration optimization method of soft open points(SOPs)and distributed multi-energy stations with spatiotemporal coordination and complementarity to reduce renewable energy curtailment.First,a shared strategy of multiple types of resources is proposed based on an SOP-enabled flexible distribution network.Second,a distributed hydrogen-based multi-energy coupling system(DHMECS)is developed.Then,a DHMECS siting model considering inter-feeder resource sharing is formulated.Finally,a configuration model of SOP and DHMECS is proposed,incorporating a partitioned autonomous operation strategy that considers spatiotemporal coordination and complementarity.The proposed method is validated on the improved Portugal 54-node and 219-node distribution networks,and the results demonstrate that it mitigates severe voltage violations and PV curtailment,enhances partitioned autonomous operation capabilities,and addresses the challenges of complex planning scenarios involving multi-feeder or substation cluster supply.
基金
supported by Smart Grid-National Science and Technology Major Project(No.2024ZD0800800)
Science and Technology Project of State Grid Corporation of China“Low-carbon and Reliable Urban Power Distribution System Demonstration Project”(No.SGTJDK00DWJS2400298).
