Energy management in microgrids using transactive energy control concept under high penetration of Renewables; A survey and case study

A Alizadeh, I Kamwa, A Moeini… - … and Sustainable Energy …, 2023 - Elsevier
Abstract Transactive Energy Control (TEC) paradigm enables involving Microgrids (MGs) in
the energy management procedure to realize the transition of energy systems using market …

[HTML][HTML] A review of mixed-integer linear formulations for framework-based energy system models

M Hoffmann, BU Schyska, J Bartels, T Pelser… - Advances in Applied …, 2024 - Elsevier
Optimization-based frameworks for energy system modeling such as TIMES, ETHOS. FINE,
or PyPSA have emerged as important tools to outline a cost-efficient energy transition …

A tri-layer stochastic framework to manage electricity market within a smart community in the presence of energy storage systems

SA Mansouri, S Maroufi, A Ahmarinejad - Journal of Energy Storage, 2023 - Elsevier
In recent years, with the restructuring of the electricity market, the main goal of all market
participants is to maximize their profits. Among these, the stability of the system as well as …

Deep reinforcement learning for smart grid operations: algorithms, applications, and prospects

Y Li, C Yu, M Shahidehpour, T Yang… - Proceedings of the …, 2023 - ieeexplore.ieee.org
With the increasing penetration of renewable energy and flexible loads in smart grids, a
more complicated power system with high uncertainty is gradually formed, which brings …

A risk-based bi-level bidding system to manage day-ahead electricity market and scheduling of interconnected microgrids in the presence of smart homes

SA Mansouri, E Nematbakhsh… - … on Environment and …, 2022 - ieeexplore.ieee.org
This paper presents a bi-level bidding system for managing energy exchange between
interconnected microgrids in the presence of traditional and smart consumers, in which the …

A stochastic tri-layer optimization framework for day-ahead scheduling of microgrids using cooperative game theory approach in the presence of electric vehicles

AZG Seyyedi, E Akbari, MH Atazadegan… - Journal of Energy …, 2022 - Elsevier
This study provides a tri-layer optimization framework in which the microgrid strategy for day-
ahead market participation is determined by considering the uncertainties of load, RESs and …

Preserving privacy in nested peer-to-peer energy trading in networked microgrids considering incomplete rationality

Y Xia, Q Xu, Y Huang, Y Liu, F Li - IEEE Transactions on Smart …, 2022 - ieeexplore.ieee.org
With the high penetration of renewable energy resources, energy prosumers and microgrids
can trade energy directly with each other in a hierarchical way. This paper develops a …

A tactical transactive energy scheduling for the electric vehicle-integrated networked microgrids

N Nasiri, S Zeynali, SN Ravadanegh - Sustainable Cities and Society, 2022 - Elsevier
A bi-level hybrid robust-stochastic framework is proposed in this study to scrutinize the
tactical market behaviour of networked microgrids (NM) integrated with high penetration of …

A three-stage multi-objective optimization framework for day-ahead interaction between microgrids in active distribution networks considering flexible loads and …

H Aziz, M Tabrizian, M Ansarian… - Journal of Energy Storage, 2022 - Elsevier
This paper provides a three-stage framework in which the microgrid strategy for participation
in the electricity market is determined by considering economic, technical, and …

Day-ahead optimal peer-to-peer energy trading strategy for multi-microgrids based on Nash bargaining game with data-driven chance constraints

B Chen, Y Che, Y Zhou, S Zhao - Sustainable Energy, Grids and Networks, 2023 - Elsevier
This paper proposes an optimization model to obtain the day-ahead optimal peer-to-peer
(P2P) trading strategy for multi-microgrids (MMG). Firstly, a joint economic energy and …