Optimal sizing and energy management of microgrids with vehicle-to-grid technology: A critical review and future trends

O Ouramdane, E Elbouchikhi, Y Amirat… - Energies, 2021 - mdpi.com
The topic of microgrids (MGs) is a fast-growing and very promising field of research in terms
of energy production quality, pollution reduction and sustainable development. Moreover …

Bad outputs

S Murty, RR Russell - Handbook of production economics, 2020 - Springer
Inadequacies of the traditional, single-equation representations of models of emission-
generating technologies prominently associated with the classic book by Baumol and Oates …

[HTML][HTML] Real-time energy scheduling for home energy management systems with an energy storage system and electric vehicle based on a supervised-learning …

THB Huy, HT Dinh, DN Vo, D Kim - Energy Conversion and Management, 2023 - Elsevier
With rising energy costs and concerns about environmental sustainability, there is a growing
need to deploy Home Energy Management Systems (HEMS) that can efficiently manage …

Two-stage distributionally robust optimization-based coordinated scheduling of integrated energy system with electricity-hydrogen hybrid energy storage

Y Qiu, Q Li, Y Ai, W Chen, M Benbouzid… - … and Control of …, 2023 - ieeexplore.ieee.org
A coordinated scheduling model based on two-stage distributionally robust optimization
(TSDRO) is proposed for integrated energy systems (IESs) with electricity-hydrogen hybrid …

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 …

Multi-agent deep reinforcement learning for distributed energy management and strategy optimization of microgrid market

X Fang, Q Zhao, J Wang, Y Han, Y Li - Sustainable cities and society, 2021 - Elsevier
With the increasing demands for autonomous decision, market initiative, and privacy
protection, a distributed energy management and strategy-making framework is more …

Fuzzy compromised solution-based novel home appliances scheduling and demand response with optimal dispatch of distributed energy resources

M Waseem, Z Lin, S Liu, Z Zhang, T Aziz, D Khan - Applied Energy, 2021 - Elsevier
Due to environmental issues and smart grid development, distributed energy resources,
energy storage systems, and demand response (DR) are gaining attention to reduce the …

Optimal operation of a wind-electrolytic hydrogen storage system in the electricity/hydrogen markets

P Xiao, W Hu, X Xu, W Liu, Q Huang, Z Chen - International Journal of …, 2020 - Elsevier
Wind power, the most promising renewable energy source in the world, plays an important
role in the electricity markets. Wind power curtailment cannot be avoided in some countries …

Microgrids energy management using robust convex programming

JS Giraldo, JA Castrillon, JC Lopez… - … on Smart Grid, 2018 - ieeexplore.ieee.org
This paper presents an energy management system (EMS) for single-phase or balanced
three-phase microgrids via robust convex optimization. Along a finite planning horizon, the …

Deep reinforcement learning–based approach for optimizing energy conversion in integrated electrical and heating system with renewable energy

B Zhang, W Hu, D Cao, Q Huang, Z Chen… - Energy conversion and …, 2019 - Elsevier
With advanced information technologies applied in integrated energy systems (IESs),
controlling the energy conversion has become an effective method for improving grid …