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To address bidirectional overload issues in transformers and lines caused by the large-scale integration of distributed photovoltaic(PV) systems and electric vehicles(EVs) into distribution networks. A coordinated optimization strategy utilizing EV-storage synergy is proposed to mitigate network overloading.First,an electric vehicle disordered charging scenario is generated using the Monte Carlo method,and a time-of-use electricity price-guided ordered charging model is established.To comprehensively characterize the real-world diversity in user willingness toward disordered/ordered charging modes,a load optimization model integrating both charging patterns is developed. A hierarchical governance framework for bidirectional overload across "0.4 kV feeder-0.4 kV distribution transformer-10 kV feeder-10 kV substation" equipment is constructed. Based on this framework,abnormal equipment is progressively identified from lower to higher voltage levels while determining electrochemical energy storage configuration parameters.Finally,case studies on a modified IEEE 33-node distribution network verify the effectiveness of the proposed hierarchical overload governance strategy for distribution network equipment.
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Basic Information:
DOI：10.20097/j.cnki.issn1007-9904.250521
China Classification Code:TM73;U491.8
Citation Information:
[1]LI Shichun,ZHONG Chuanzhou,XIE Jiahong ,et al.Hierarchical Mitigation of Bidirectional Overload in Distribution Networks via Electric Vehicle-energy Storage Coordination[J].Shandong Electric Power,2026,53(03):73-84.DOI:10.20097/j.cnki.issn1007-9904.250521.
Fund Information:
国家自然科学基金资助项目（52307109）~~
2025-06-24
2025
2026-03-20
2025-10-27
2025
1
2026-03-25
2026-03-25