Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective

H Qiu, W Gu, P Liu, Q Sun, Z Wu, X Lu - Energy, 2022 - Elsevier
Multi-uncertainties impose enormous challenges to the optimal scheduling of power
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

B Li, J Zhang - Solar Energy, 2020 - Elsevier
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 …

Distributed tri-layer risk-averse stochastic game approach for energy trading among multi-energy microgrids

Z Li, L Wu, Y Xu, L Wang, N Yang - Applied Energy, 2023 - Elsevier
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 …

Aggregator-network coordinated peer-to-peer multi-energy trading via adaptive robust stochastic optimization

Y Zou, Y Xu, J Li - IEEE Transactions on Power Systems, 2024 - ieeexplore.ieee.org
This paper proposes a new peer-to-peer (P2P) trading framework for a coupled multi-energy
system comprising a three-phase unbalanced distribution network (DN) and a district …

Robust decentralized optimization of Multi-Microgrids integrated with Power-to-X technologies

A Mansour-Saatloo, Y Pezhmani, MA Mirzaei… - Applied Energy, 2021 - Elsevier
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 …

Optimal dispatch for cross-regional integrated energy system with renewable energy uncertainties: A unified spatial-temporal cooperative framework

Z Zhang, C Wang, Q Wu, X Dong - Energy, 2024 - Elsevier
Cross-regional energy sharing is a promising way to alleviate the imbalance in energy
distribution. However, there is a risk that the uncertain fluctuations of intermittent renewable …

Multi-stage real-time operation of a multi-energy microgrid with electrical and thermal energy storage assets: A data-driven MPC-ADP approach

Z Li, L Wu, Y Xu, S Moazeni… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

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 …

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 …

Multi-objective economic dispatch of a microgrid considering electric vehicle and transferable load

H Hou, M Xue, Y Xu, Z **ao, X Deng, T Xu, P Liu, R Cui - Applied Energy, 2020 - Elsevier
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 …