Publisher
Springer Nature Singapore
Reference25 articles.
1. Mithulananthan N, Oo T et al (2004) Distributed generator placement in power distribution system using genetic algorithm to reduce losses. Sci Technol Asia 55–62
2. Wang B, Zhu H, Honghua X, Bao Y, Di H (2021) Distribution network reconfiguration based on Noisynet deep q-learning network. IEEE Access 9:90358–90365
3. Tabares A, Puerta GF, Franco JF, Romero RA (2021) Planning of reserve branches to increase reconfiguration capability in distribution systems: a scenario-based convex programming approach. IEEE Access 9:104707–104721
4. Gao Y, Wang W, Shi J, Nanpeng Yu (2020) Batch-constrained reinforcement learning for dynamic distribution network reconfiguration. IEEE Trans Smart Grid 11(6):5357–5369
5. Cao X, Wang J, Wang J, Zeng B (2019) A risk-averse conic model for networked microgrids planning with reconfiguration and reorganizations. IEEE Trans Smart Grid 11(1):696–709