Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective
Multi-uncertainties impose enormous challenges to the optimal scheduling of power
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …
A review on the integration of probabilistic solar forecasting in power systems
As one of the fastest growing renewable energy sources, the integration of solar power
poses great challenges to power systems due to its variable and uncertain nature. As an …
poses great challenges to power systems due to its variable and uncertain nature. As an …
Distributed tri-layer risk-averse stochastic game approach for energy trading among multi-energy microgrids
This paper discusses a tri-layer non-cooperative energy trading approach among multiple
grid-tied multi-energy microgrids (MEMGs) in the restructured integrated energy market. The …
grid-tied multi-energy microgrids (MEMGs) in the restructured integrated energy market. The …
Robust decentralized optimization of Multi-Microgrids integrated with Power-to-X technologies
Nowadays, the enormous rising demand for hydrogen fuel cell vehicles (HFCVs) and
electric vehicles (EVs) in the transportation sector has a significant contribution in growing of …
electric vehicles (EVs) in the transportation sector has a significant contribution in growing of …
Multi-stage real-time operation of a multi-energy microgrid with electrical and thermal energy storage assets: A data-driven MPC-ADP approach
This paper studies the multi-stage real-time stochastic operation of grid-tied multi-energy
microgrids (MEMGs) via the hybrid model predictive control (MPC) and approximate …
microgrids (MEMGs) via the hybrid model predictive control (MPC) and approximate …
A novel deep learning-based forecasting model optimized by heuristic algorithm for energy management of microgrid
HJ Kim, MK Kim - Applied Energy, 2023 - Elsevier
Recently, the integration of renewable energy sources (RESs) in microgrids (MGs) has risen
significantly owing to extensive promotion of decarbonization and green energy. However …
significantly owing to extensive promotion of decarbonization and green energy. However …
A novel forecast scenario-based robust energy management method for integrated rural energy systems with greenhouses
H Tan, Z Li, Q Wang, MA Mohamed - Applied Energy, 2023 - Elsevier
Traditional energy supplies in rural areas are mainly rural power grids and fossil energy,
which makes energy use inefficient and is not environmentally unfriendly. With the …
which makes energy use inefficient and is not environmentally unfriendly. With the …
Optimal stochastic deployment of heterogeneous energy storage in a residential multienergy microgrid with demand-side management
The optimal deployment of heterogeneous energy storage (HES), mainly consisting of
electrical and thermal energy storage, is essential for increasing the holistic energy …
electrical and thermal energy storage, is essential for increasing the holistic energy …
Multi-objective economic dispatch of a microgrid considering electric vehicle and transferable load
In order to investigate the impact of electric vehicles' charging-discharging behaviour and
demand side response resources on the economic operation of photovoltaic grid-connected …
demand side response resources on the economic operation of photovoltaic grid-connected …
A transactive energy framework for inverter-based HVAC loads in a real-time local electricity market considering distributed energy resources
Rapidly increasing distributed energy resources (DERs) bring more fluctuating output power
to the distribution network and put forward a higher requirement on local regulation …
to the distribution network and put forward a higher requirement on local regulation …