To alleviate the limitation on distributed photovoltaic integration imposed by the inflexibility of the spatiotemporal distribution of new energy and load
this paper proposes a co-planning strategy for energy storage and intelligent soft-switching to enhance the capability of power distribution networks for distributed PV power. Firstly
to evaluate the collaborative benefits of multi-port soft open point (MSOP) and energy storage system (ESS) in spatiotemporal flexibility
an evaluation metric integrating branch current time-uniformity level and network loss sensitivity is proposed. Subsequently
a two-level stochastic optimization model comprising planning and operation is established based on this collaborative benefit metric. By embedding the MSOP-ES model
this framework is capable of considering diverse integration forms of MSOP and ESS. Finally
the two-level optimization model is efficiently solved using the Benders decomposition algorithm. Case studies on the IEEE 33-node distribution network and a real-world distribution network demonstrate that the proposed method effectively enhances PV hosting capacity while improving voltage stability and flexible transfer capability by planning ESS and MSOP integration.
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The College of Electrical and Information Engineering, Lanzhou University of Technology
School of Control and Computer Engineering, North China Electric Power University
Department of Electrical Engineering, Tsinghua University
School of Mechanical and Power Engineering, Jiangsu Organic Solid Waste Deep Disposal and Hydrogen Production Engineering Research Center,Jiangsu Key Laboratory of Process Enhancement and New Energy Equipment Technology, Nanjing Tech University
College of Energy and Mechanical Engineering, Shanghai University of Electric Power