Short-Term Trading for a Wind Power Producer

By Juan M. Morales, Antonio J. Conejo, Juan Pérez-Ruiz. IEEE Transactions on Power Systems, 2010

502 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Finance

View Paper: https://www.semanticscholar.org/paper/34d0df4faf0ea62fa8ccc477a325a7c28f23f488

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Citations in the corpus

Bringing Wind Energy to Market (2012, background): “[31] extend these formulations by considering a market system with an additional intra-day market that allows for contract adjustment (i.”
Coordinated Trading of Wind and Thermal Energy (2011, methodology): “Note that the structure of imbalance penalties described in Section II-A is utilized to combine under-generation and over-generation penalty multipliers in one stochastic variable, as shown in [7].”
Wind Power Trading Under Uncertainty in LMP Markets (2012, background): “These systems have different prices for positive and negative imbalances in real time [10].”
A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets (2011, methodology): “A newmethod for deriving the best offering strategy of a wind power producer in an electricity market including various trading floors is presented in [7].”
Optimal coordinated wind-hydro bidding strategies in day-ahead markets (2013, background): “In [8] and [9] the authors analyze wind technology and the risk-based [10] bids in the Spanish and Portuguesemarkets, respectively.”
Optimal bidding strategy of a strategic wind power producer in the short-term market (2015, methodology): “The autoregressive integrated moving average (ARIMA) model [4] is used to generate 5000 scenarios of wind power and real-time demand, respectively.”
Coordinated Bidding Strategy of Wind Farms and Power-to-Gas Facilities Using a Cooperative Game Approach (2020, background): “Wind producers offer hourly generation quantities based on forecasted wind speed and participate in electricity markets to maximize their profits [3]–[6].”
Strategic Offering for a Wind Power Producer (2013, methodology): “Nevertheless, [7]–[11] propose models to derive offering strategies for WPs participating in an electricity market.”
Pool Strategy of a Price-Maker Wind Power Producer (2013, background): “Furthermore, [10] deals with the participation of wind power producers in multiple market stages (day-ahead, intra-day and balancing).”
Risk Assessment of Virtual Power Plants Offering in Energy and Reserve Markets (2016, background): “It has been shown that, irrespective of being dispatchable, a risk-averse producer/consumer trading in the DAM expects less/more profit/cost and more/less CVaR [15], [16], [30], [31], [33].”
Offering Strategy of Wind-Power Producer: A Multi-Stage Risk-Constrained Approach (2016, methodology): “Reference [11] uses a stochastic approach to derive the offering strategy of a WPP considering different trading floors.”
Opportunity Cost Bidding by Wind Generators in Forward Markets: Analytical Results (2011, methodology): “This LP approach was extended from a two-market system (forward and real-time) to a three-market (day-ahea d, adjustment and real-time) system in [4]; in addition, a more efficient continuous LP model was presented, in which riskaverse preferences could be modelled.”
Coalitional Aggregation of Wind Power (2013, background): “A similar treatment can be found in [2], [4], and [11].”
Optimal Offering Strategy of a Virtual Power Plant: A Stochastic Bi-Level Approach (2016, background): “ket and sell electricity in the BM at a price lower than in the DA market [31] (two-price system).”