Modeling and control of building-integrated microgrids for optimal energy management–a review
H Fontenot, B Dong - Applied Energy, 2019 - Elsevier
This paper reviews the system components, modeling, and control of microgrids for future
smart buildings in current literature. Microgrids are increasingly widely studied due to their …
smart buildings in current literature. Microgrids are increasingly widely studied due to their …
An energy management system of campus microgrids: State-of-the-art and future challenges
The multiple uncertainties in a microgrid, such as limited photovoltaic generations, ups and
downs in the market price, and controlling different loads, are challenging points in …
downs in the market price, and controlling different loads, are challenging points in …
Multi-agent systems: A survey
Multi-agent systems (MASs) have received tremendous attention from scholars in different
disciplines, including computer science and civil engineering, as a means to solve complex …
disciplines, including computer science and civil engineering, as a means to solve complex …
Energy-sharing model with price-based demand response for microgrids of peer-to-peer prosumers
According to the feed-in tariff for encouraging local consumption of photovoltaic (PV) energy,
the energy sharing among neighboring PV prosumers in the microgrid could be more …
the energy sharing among neighboring PV prosumers in the microgrid could be more …
Energy sharing management for microgrids with PV prosumers: A Stackelberg game approach
For microgrids with photovoltaic (PV) prosumers, the effective energy sharing management
(ESM) is important for the operation. In this paper, a Stackelberg game approach for ESM is …
(ESM) is important for the operation. In this paper, a Stackelberg game approach for ESM is …
A multiagent-based hierarchical energy management strategy for multi-microgrids considering adjustable power and demand response
Conventionally, community energy management system (CEMS) is provided with the
information of surplus and shortage amounts only at each time interval. This limited …
information of surplus and shortage amounts only at each time interval. This limited …
Reinforcement learning approach for optimal distributed energy management in a microgrid
In this paper, a multiagent-based model is used to study distributed energy management in
a microgrid (MG). The suppliers and consumers of electricity are modeled as autonomous …
a microgrid (MG). The suppliers and consumers of electricity are modeled as autonomous …
Energy-sharing provider for PV prosumer clusters: A hybrid approach using stochastic programming and stackelberg game
According to the energy policy, which encourages local consumption of photovoltaic (PV)
energy, the energy sharing among neighboring PV prosumers is proved to be a more …
energy, the energy sharing among neighboring PV prosumers is proved to be a more …
Incentivizing prosumer coalitions with energy management using cooperative game theory
The advances in distributed renewable generation technologies in recent years have started
to cause load balancing issues in power networks. Distributed energy storage (ES) systems …
to cause load balancing issues in power networks. Distributed energy storage (ES) systems …
Fuzzy Q-Learning for multi-agent decentralized energy management in microgrids
This study proposes a cooperative multi-agent system for managing the energy of a stand-
alone microgrid. The multi-agent system learns to control the components of the microgrid so …
alone microgrid. The multi-agent system learns to control the components of the microgrid so …