Analysis of strategic interactions among distributed virtual alliances in electricity and carbon emission auction markets using risk-averse multi-agent reinforcement …

Z Zhu, KW Chan, S Bu, SW Or, S Xia - Renewable and Sustainable Energy …, 2023 - Elsevier
The incorporation of carbon emission auction market (CEAM) and ancillary service market
(ASM) is an emerging trading paradigm in active distribution network (ADN). Such regime …

A stochastic game-theoretic optimization approach for managing local electricity markets with electric vehicles and renewable sources

SHH Dolatabadi, TH Bhuiyan, Y Chen, JL Morales - Applied Energy, 2024 - Elsevier
In response to the growing need for sustainable and environmentally friendly energy
ecosystems as well as the rapid adoption of electric vehicles (EVs) and renewable energy …

[HTML][HTML] A logic Petri net model for dynamic multi-agent game decision-making

H Byeon, C Thingom, I Keshta, M Soni… - Decision Analytics …, 2023 - Elsevier
This study proposes a logical Petri net model to leverage the modeling advantages of Petri
nets in handling batch processing and uncertainty in value passing and to integrate relevant …

Finding Nash equilibrium based on reinforcement learning for bidding strategy and distributed algorithm for ISO in imperfect electricity market

L Yu, P Wang, Z Chen, D Li, N Li, R Cherkaoui - Applied Energy, 2023 - Elsevier
Finding Nash equilibrium in an imperfect market with active and strategic resources is key to
the successful operation of the electricity market. A hierarchical Nash distributed …

A hierarchical structure for harnessing the flexibility of residential microgrids within active distribution networks: Advancing toward smart cities

J Zhu, YZ Alharthi, Y Wang, S Fatemi… - Sustainable Cities and …, 2024 - Elsevier
The increasing integration of Renewable Energy Sources (RESs) and the replacement of
fossil fuel vehicles with electric types in distribution systems, while enhancing economic and …

A reinforcement-probability Bayesian approach for strategic bidding and market clearing for renewable energy sources with uncertainty

L Yu, P Wang, Y Zhang, N Li, R Cherkaoui - Journal of Cleaner Production, 2023 - Elsevier
With the participation of renewable energy sources (RESs) in the electricity market, the
inherent uncertainty brings new challenges for strategic bidding and market clearing in the …

[HTML][HTML] Micro-grid tri-level EPEC based model for finding equilibria in the day-ahead and balancing markets

M Alidoust, M Gandomkar, J Nikoukar - International Journal of Electrical …, 2024 - Elsevier
This paper presents a model that explores the strategic bidding equilibrium within a
microgrid and its interactions with other strategic and non-strategic rivals in a joint energy …

[HTML][HTML] Deep reinforcement learning based dynamic pricing for demand response considering market and supply constraints

A Fraija, N Henao, K Agbossou, S Kelouwani… - Smart Energy, 2024 - Elsevier
This paper presents a Reinforcement Learning (RL) approach to a price-based Demand
Response (DR) program. The proposed framework manages a dynamic pricing scheme …

A novel data-driven tighten-constraint method for wind-hydro hybrid power system to improve day-ahead plan performance in real-time operation

C Lai, B Kazemtabrizi - Applied Energy, 2024 - Elsevier
Complementary operation has been proven an effective way to handle the increasing levels
of renewable energy sources (RESs) integration into the grid. However, due to the relative …

[HTML][HTML] Multiple dynamic pricing for demand response with adaptive clustering-based customer segmentation in smart grids

F Meng, Q Ma, Z Liu, XJ Zeng - Applied Energy, 2023 - Elsevier
In this paper, we propose a realistic multiple dynamic pricing approach to demand response
in the electricity retail market. First, an adaptive clustering-based customer segmentation …