Coordinated optimal bidding strategies methods of aggregated microgrids: A game theory-based demand side management under an electricity market environment

H Saeian, T Niknam, M Zare, J Aghaei - Energy, 2022 - Elsevier
Due to substantial demand of expansion and application of distributed generations and
energy storage systems (ESSs), the operation of microgrids (MGs) has become more flexible …

Enhanced time-of-use electricity price rate using game theory

A Khalid, N Javaid, A Mateen, M Ilahi, T Saba… - Electronics, 2019 - mdpi.com
The emergence of the Demand Response (DR) program optimizes the energy consumption
pattern of customers and improves the efficacy of energy supply. The pricing infra-structure …

Reinforcement learning-based demand response management in smart grid systems with prosumers

F Sangoleye, J Jao, K Faris… - IEEE Systems …, 2023 - ieeexplore.ieee.org
In this article, we introduce a reinforcement learning-based price-driven demand response
management (DRM) mechanism in smart grid systems consisting of prosumers. Our …

Machine learning techniques for improving self-consumption in renewable energy communities

ZD Grève, J Bottieau, D Vangulick, A Wautier… - Energies, 2020 - mdpi.com
Renewable Energy Communities consist in an emerging decentralized market mechanism
which allows local energy exchanges between end-users, bypassing the traditional …

A minimal incentive-based demand response program with self reported baseline mechanism

D Muthirayan, E Baeyens… - … on Smart Grid, 2019 - ieeexplore.ieee.org
In this paper, we propose a novel incentive based Demand Response (DR) program with a
self reported baseline mechanism. The System Operator (SO) managing the DR program …

Fairness-regularized DLMP-based bilevel transactive energy mechanism in distribution systems

AK Zarabie, S Das, MN Faqiry - IEEE Transactions on Smart …, 2019 - ieeexplore.ieee.org
Distribution locational marginal pricing can adversely affect users in a grid-constrained
transactive distribution system market that are at larger distances from the substation …

[HTML][HTML] Improving convergence properties of autonomous demand side management algorithms

M Reiszadeh, H Narimani, MS Fazel - … Journal of Electrical Power & Energy …, 2023 - Elsevier
Abstract For implementing Autonomous Demand Side Management (ADSM) in the smart
grid, when there is a large number of consumers, there are some problems like low …

A survey on demand response in smart power distribution systems

TS Kumar, T Venkatesan - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
The electricity infrastructure of smart power systems continue to grow with an establishment
of numerous approaches for its improvement in energy efficiency and energy management …

Joint Optimization of Energy Storage Sharing and Demand Response in Microgrid Considering Multiple Uncertainties

D Liu, J Cao, M Liu - Energies, 2022 - mdpi.com
Energy storage (ES) is playing an increasingly important role in reducing the spatial and
temporal power imbalance of supply and demand caused by the uncertainty and periodicity …

Large-scale nonconvex optimization: randomization, gap estimation, and numerical resolution

JF Bonnans, K Liu, N Oudjane, L Pfeiffer, C Wan - SIAM Journal on …, 2023 - SIAM
We address a large-scale and nonconvex optimization problem, involving an aggregative
term. This term can be interpreted as the sum of the contributions of agents to some common …