Coordinated optimal bidding strategies methods of aggregated microgrids: A game theory-based demand side management under an electricity market environment
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 …
energy storage systems (ESSs), the operation of microgrids (MGs) has become more flexible …
Enhanced time-of-use electricity price rate using game theory
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 …
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 …
management (DRM) mechanism in smart grid systems consisting of prosumers. Our …
Machine learning techniques for improving self-consumption in renewable energy communities
Renewable Energy Communities consist in an emerging decentralized market mechanism
which allows local energy exchanges between end-users, bypassing the traditional …
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 …
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 …
transactive distribution system market that are at larger distances from the substation …
[HTML][HTML] Improving convergence properties of autonomous demand side management algorithms
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 …
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 …
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 …
temporal power imbalance of supply and demand caused by the uncertainty and periodicity …
Large-scale nonconvex optimization: randomization, gap estimation, and numerical resolution
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 …
term. This term can be interpreted as the sum of the contributions of agents to some common …