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- W4379983379 abstract "The large-scale integration of distributed photovoltaic (PV) power sources into distribution networks poses a significant challenge to network stability. Effective scheduling of a large number of distributed power sources is critical to fully utilize the potential of distributed PV energy and improve renewable energy penetration. In this study, we propose a coordinated operation mode of distributed PV and energy storage to optimize distribution network operations from both economic and reliability perspectives across short-term and real-time scales. We utilize particle swarm optimization algorithms to solve scheduling models of different timescales, and update real-time scheduling constraints based on reasons for operational deviations. We apply the proposed approach to the IEEE 33-node system for case studies, which demonstrate that the coordinated operation mode can improve the utilization of distributed PV energy, and the multi-timescale scheduling method is adaptable to the coordinated operation mode and effectively limits node voltage deviation while reducing peak power output of generators." @default.
- W4379983379 created "2023-06-10" @default.
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- W4379983379 date "2023-04-01" @default.
- W4379983379 modified "2023-10-16" @default.
- W4379983379 title "Multi-Timescale Optimization of Distribution Network with Distributed Photovoltaic and Energy Storage through Coordinated Operation *" @default.
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- W4379983379 doi "https://doi.org/10.1109/pandafpe57779.2023.10140485" @default.
- W4379983379 hasPublicationYear "2023" @default.
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