This paper proposes a stochastic control strategy, namely the unsynchronized Addictive Increase Multiplicative Decrease (AIMD) algorithm, to manage the power flow of interconnected microgrids (MGs). The proposed control aims at achieving an optimal trade-off between the individual utility function of each MG while ensuring the stability of the grid. Both centralized and decentralized AIMD approaches are considered and compared. Extensive Monte Carlo simulations are performed on the IEEE 39-bus system, and show that the proposed control strategy is able to provide the sought trade-off
Due to the success of single microgrids, the coming years are likely to see a transformation of the ...
Challenges of microgrids (MGs) energy management have gained more relevance with the presence of unc...
Microgrids are power distribution systems which are typically classified by Direct Current (DC) and ...
This paper proposes a stochastic control strategy, namely the unsynchronized Addictive Increase Mult...
This paper proposes a stochastic control strategy, namely the unsynchronized Addictive Increase Mult...
This paper proposes a stochastic control strategy, namely the unsynchronized Addictive Increase Mult...
This paper proposes a stochastic control strategy, namely the unsynchronized Addictive Increase Mult...
This paper proposes a stochastic control strategy, namely the unsynchronized Addictive Increase Mult...
The paper proposes a decentralized stochastic con- trol of microgrids aimed at improving both system...
2017 IEEE International Conference on Innovative Smart Grid Technologies Europe (ISGT-Europe), Torin...
The paper proposes a decentralized stochastic control of microgrids aimed at addressing both system ...
This paper proposes a unified framework between the optimal energy management (OEM) problem of grid-...
This paper proposes an optimal distributed control strategy for the coordination of multiple distrib...
This paper introduces distributed algorithms that share the power generation task in an optimised fa...
In this paper, the problem of mixed optimization for energy sharing and frequency regulation in a ty...
Due to the success of single microgrids, the coming years are likely to see a transformation of the ...
Challenges of microgrids (MGs) energy management have gained more relevance with the presence of unc...
Microgrids are power distribution systems which are typically classified by Direct Current (DC) and ...
This paper proposes a stochastic control strategy, namely the unsynchronized Addictive Increase Mult...
This paper proposes a stochastic control strategy, namely the unsynchronized Addictive Increase Mult...
This paper proposes a stochastic control strategy, namely the unsynchronized Addictive Increase Mult...
This paper proposes a stochastic control strategy, namely the unsynchronized Addictive Increase Mult...
This paper proposes a stochastic control strategy, namely the unsynchronized Addictive Increase Mult...
The paper proposes a decentralized stochastic con- trol of microgrids aimed at improving both system...
2017 IEEE International Conference on Innovative Smart Grid Technologies Europe (ISGT-Europe), Torin...
The paper proposes a decentralized stochastic control of microgrids aimed at addressing both system ...
This paper proposes a unified framework between the optimal energy management (OEM) problem of grid-...
This paper proposes an optimal distributed control strategy for the coordination of multiple distrib...
This paper introduces distributed algorithms that share the power generation task in an optimised fa...
In this paper, the problem of mixed optimization for energy sharing and frequency regulation in a ty...
Due to the success of single microgrids, the coming years are likely to see a transformation of the ...
Challenges of microgrids (MGs) energy management have gained more relevance with the presence of unc...
Microgrids are power distribution systems which are typically classified by Direct Current (DC) and ...