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.