Optimal bidding that considers different electricity market floors can increase the financial gains of photovoltaic (PV) power producers. However, the current approach to trading PV power essentially consists of committing to sell the forecasted PV generation. To analyze profits and investigate new business opportunities for PV power producers, this paper proposes two novel stochastic programming-based methods for scheduling and rescheduling for trading the PV generated energy in day-ahead and intraday electricity markets. Risk-hedging is also considered in terms of co-optimizing the expected profit with the Conditional Value-at-Risk (CVaR) metric. As a consequence of the structure and organization of the market floors and due to different ...
Concentrating solar power (CSP) plants with thermal energy storage (TES) are emerging renewable tech...
This paper presents an optimal bid submission in a day-ahead electricity market for the problem of j...
The integration of renewable generation and electric vehicles (EVs) into smart grids poses an additi...
Optimal bidding that considers different electricity market floors can increase the financial gains ...
We formulate and analyze a profit maximization problem for one participant (aggregator) in a multipe...
This paper deals with the problem of coordinated trading of wind and photovoltaic systems in order t...
Designing appropriate strategies for the participation of generation companies (GenCos) in the elect...
Premiums for renewable energy are being reduced as a consequence of the world economic crisis. This ...
The high penetration of wind and photovoltaic power in electricity markets will represent a major ch...
In many countries, the installation and operation of concentrated solar power plants has been promot...
This paper addresses the scenario reduction for stochastic optimization applied to short-term tradin...
The variability in non-dispatchable power generation raises important challenges to the integration ...
This paper proposes a probabilistic optimization method that produces optimal bidding curves to be s...
Concentrating solar power (CSP) plants with thermal energy storage (TES) are emerging renewable tech...
This paper presents an optimal bid submission in a day-ahead electricity market for the problem of j...
The integration of renewable generation and electric vehicles (EVs) into smart grids poses an additi...
Optimal bidding that considers different electricity market floors can increase the financial gains ...
We formulate and analyze a profit maximization problem for one participant (aggregator) in a multipe...
This paper deals with the problem of coordinated trading of wind and photovoltaic systems in order t...
Designing appropriate strategies for the participation of generation companies (GenCos) in the elect...
Premiums for renewable energy are being reduced as a consequence of the world economic crisis. This ...
The high penetration of wind and photovoltaic power in electricity markets will represent a major ch...
In many countries, the installation and operation of concentrated solar power plants has been promot...
This paper addresses the scenario reduction for stochastic optimization applied to short-term tradin...
The variability in non-dispatchable power generation raises important challenges to the integration ...
This paper proposes a probabilistic optimization method that produces optimal bidding curves to be s...
Concentrating solar power (CSP) plants with thermal energy storage (TES) are emerging renewable tech...
This paper presents an optimal bid submission in a day-ahead electricity market for the problem of j...
The integration of renewable generation and electric vehicles (EVs) into smart grids poses an additi...