Optimal control and communication strategies in multi-energy generation grid

MW Khan, G Li, K Wang, M Numan… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Multi-energy generation grids (MEGGs) provide a promising solution for reliable operations
of cooperative various distributed energy resources (DERs), supply environmentally friendly …

Enabling high-efficiency economic dispatch of hybrid AC/DC networked microgrids: Steady-state convex bi-directional converter models

Z Liang, CY Chung, W Zhang, Q Wang… - … on Smart Grid, 2024 - ieeexplore.ieee.org
The use of bi-directional converters (BDCs) is crucial for enhancing power exchange in
hybrid AC/DC networked microgrids (NMGs). However, the dynamic nature of their …

[HTML][HTML] A three-stage robust dispatch model considering the multi-uncertainties of electric vehicles and a multi-energy microgrid

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Z Wang, Y Li, F Wu, J Wu, L Shi, K Lin - Energy, 2024 - Elsevier
Cascade hydropower (CHP) is a promising resource to compensate for the randomness and
variability of photovoltaic (PV) power generation. However, the flexibility of CHP might …

[HTML][HTML] Two-stage robust scheduling and real-time load control of community microgrid with multiple uncertainties

J Lu, J Hu, J Yu, J Cao - International Journal of Electrical Power & Energy …, 2024 - Elsevier
With the increasing popularity of wind and solar generation, the stable and economic
operation of the community microgrid system become more challenging. This paper is …

Energy management for regional microgrids considering energy transmission of electric vehicles between microgrids

F Jiao, Y Zou, Y Zhou, Y Zhang, X Zhang - Energy, 2023 - Elsevier
As the proliferation of electric vehicles (EVs) continues to accelerate, the inherent attributes
of EVs warrant meticulous consideration in the realm of energy dispatch. In order to evaluate …

Implications of future price trends and interannual resource uncertainty on firm solar power delivery with photovoltaic overbuilding and battery storage

G Yang, D Yang, C Lyu, W Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Generation from solar is inherently variable. Through a strategic combination of excessive
capacity expansion (ie, overbuilding) and battery storage, the variable solar generation can …

[HTML][HTML] Reinforcement learning for an enhanced energy flexibility controller incorporating predictive safety filter and adaptive policy updates

S Paesschesoone, N Kayedpour, C Manna… - Applied Energy, 2024 - Elsevier
This paper presents a novel data-driven approach that leverages reinforcement learning to
enhance the efficiency and safety of existing energy flexibility controllers, addressing …