This paper considers a microgrid connected with a medium-voltage (MV) distribution network. It is assumed that the microgrid, which is managed by a prosumer, operates in a competitive environment and participates in the day-ahead market. Then, as the first step of the short-term management problem, the prosumer must determine the bids to be submitted to the market. The offer strategy is based on the application of an optimization model, which is solved for different hourly price profiles of energy exchanged with the main grid. The proposed procedure is applied to a microgrid and four different its configurations were analyzed. The configurations consider the presence of thermoelectric units that only produce electricity, a boiler or/and cog...
This PhD thesis consists of two parts. The first part focuses on the development of energy schedulin...
Prosumers, with the ability to act both as a supplier and a consumer in a power market, have receive...
This paper proposes a probabilistic optimization method that produces optimal bidding curves to be s...
This paper considers a microgrid connected with a medium-voltage (MV) distribution network. It is a...
This paper considers a microgrid connected with a medium-voltage (MV) distribution network. It is a...
This paper considers a microgrid connected with a medium-voltage (MV) distribution network. It is a...
n the electricity market, short-term operation is organized in day-ahead and real-time stages. The t...
n the electricity market, short-term operation is organized in day-ahead and real-time stages. The t...
n the electricity market, short-term operation is organized in day-ahead and real-time stages. The t...
grant number TEC2016-77632-C3-1-R (AEI/FEDER, UE). UID/EEA/00066/2013.Microgrids of prosumers are a ...
A risk bidding methodology is proposed to help prosumers formulating optimal quantity-price bids for...
A risk bidding methodology is proposed to help prosumers formulating optimal quantity-price bids for...
A risk bidding methodology is proposed to help prosumers formulating optimal quantity-price bids for...
grant number TEC2016-77632-C3-1-R (AEI/FEDER, UE). UID/EEA/00066/2013.Microgrids of prosumers are a ...
Operators of micro-grid as privately-owned sectors try to optimally determine their energy supply st...
This PhD thesis consists of two parts. The first part focuses on the development of energy schedulin...
Prosumers, with the ability to act both as a supplier and a consumer in a power market, have receive...
This paper proposes a probabilistic optimization method that produces optimal bidding curves to be s...
This paper considers a microgrid connected with a medium-voltage (MV) distribution network. It is a...
This paper considers a microgrid connected with a medium-voltage (MV) distribution network. It is a...
This paper considers a microgrid connected with a medium-voltage (MV) distribution network. It is a...
n the electricity market, short-term operation is organized in day-ahead and real-time stages. The t...
n the electricity market, short-term operation is organized in day-ahead and real-time stages. The t...
n the electricity market, short-term operation is organized in day-ahead and real-time stages. The t...
grant number TEC2016-77632-C3-1-R (AEI/FEDER, UE). UID/EEA/00066/2013.Microgrids of prosumers are a ...
A risk bidding methodology is proposed to help prosumers formulating optimal quantity-price bids for...
A risk bidding methodology is proposed to help prosumers formulating optimal quantity-price bids for...
A risk bidding methodology is proposed to help prosumers formulating optimal quantity-price bids for...
grant number TEC2016-77632-C3-1-R (AEI/FEDER, UE). UID/EEA/00066/2013.Microgrids of prosumers are a ...
Operators of micro-grid as privately-owned sectors try to optimally determine their energy supply st...
This PhD thesis consists of two parts. The first part focuses on the development of energy schedulin...
Prosumers, with the ability to act both as a supplier and a consumer in a power market, have receive...
This paper proposes a probabilistic optimization method that produces optimal bidding curves to be s...