Smart grids integrate sensing, communication, computing, and control, making them representative networked automation systems. This integration improves observability but also exposes grid operation to false data injection, denial-of-service, replay, and command-tampering attacks. To support conference-oriented intelli...
Zi-Xin Yu, Feng Long, Yan-Hong Xu et al.· International Conference on...· 0 citations
Automation-oriented dispatch centers, renewable microgrids, logistics-park charging hubs, and transportation-energy facilities require rapid and reliable scheduling under volatile load, renewable output, electricity prices, and network-security margins. This paper proposes a constraint-aware deep reinforcement learning...
Jian-Ping Xu, Zhi Miao, Hao Wu et al.· International Conference on...· 0 citations
High renewable penetration makes microgrid energy management sensitive to uncertain photovoltaic output, wind fluctuation, load variation, electricity price, and battery degradation. Conventional rule-based and model predictive strategies require manually tuned thresholds or accurate forecasts, which limits their adapt...
Feng Long, Shang-Zhi Sun, Min-Zhang Jiang et al.· International Conference on...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.