An Ordinal Optimization-Based Bidding Strategy for Electric Power Suppliers in the Daily Energy Market

By X. Guan, Y. Ho, F. Lai. IEEE Power Engineering Review, 2001

125 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f53a58c69d3e67212f71f28b228b8b62a5a14c64

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In Electrical and Electronic Engineering

Citations in the corpus

Price-Taker Bidding Strategy under Price Uncertainty (2002, methodology): “Other methods such as ordinal optimization [23], Lagrangian relaxation [24], stochastic optimization [25], and Markov decision process [26] have also been applied to solve the optimal bidding strategy problem.”
Strategic bidding of transmission-constrained GENCOs with incomplete information (2005, methodology): “For example, an ordinal optimization method was used in [ 9 ] to find the “good enough” bidding strategy for power suppliers.”
Risk-Constrained Bidding Strategy With Stochastic Unit Commitment (2007, methodology): “Forexample,anordinal optimization method was used in [6] to find the “good enough” bidding strategy for power suppliers.”
An MILP Based Formulation for Short-Term Hydro Generation Scheduling With Analysis of the Linearization Effects on Solution Feasibility (2013, background): “S HORT-TERM hydro generation scheduling (HGS) plays a crucial role in reducing our dependency on fossil fuels, as well as in electricity market clearing and self-scheduling of power producers [1]–[6].”
Coupon-Based Demand Response Considering Wind Power Uncertainty: A Strategic Bidding Model for Load Serving Entities (2016, methodology): “Therefore, before broadcasting the coupon price, LSEs should find a method to estimate a rough range of the optimal coupon price [20] such that the iterations between LSEs and customers can be reduced and the actual updating process of coupon price can be implemented in a shorter term.”
Bidding strategies for electricity producers in a competitive electricity marketplace (2004, unknown): “In [20], ordinal optimization is used to isolate a set of “good” strategies.”
ARIMA Models to Predict Next-Day Electricity Prices (2002, methodology): “In [23], an ordinal optimization based bidding strategy is used for seeking good enough bids with high p obabilities.”
Offering Strategy Via Robust Optimization (2011, background): “In [13] and [14], an ordinal optimization problem is solved to derive strategic offers.”