Offering Strategy Via Robust Optimization

By Luis Baringo, Antonio J. Conejo. IEEE Transactions on Power Systems, 2011

169 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/58a886abd0bef37e2e115af0783323ad826b8b1f

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Citations in the corpus

Multi-Stage Robust Unit Commitment Considering Wind and Demand Response Uncertainties (2013, result): “As compared to the recent works on robust optimization to solve power system optimization problems [13], [24]–[26], the contributions of this paper can be summarized as follows: 1) Both wind power output and demand response uncertainties are considered in the unit commitment problem.”
Two-Stage Robust Generation Expansion Planning: A Mixed Integer Linear Programming Model (2014, methodology): “Recently, the well-designed RO methodology of [20] as a single-stage RO framework is implemented in several areas of power systems including optimal bidding strategy [21], contingency-constrained unit commitment based on security criterion [22], and optimal integration plan for plug-in hybrid electr”
Economic assessment of concentrated solar power technologies: A review (2017, unknown): “These uncertainty models are typically used in conjunction with stochastic programming [78,82,101] and/or robust optimization [78,80,102] techniques to construct resilient CSP operating policies and bidding curves.”
Offering Strategy of Wind-Power Producer: A Multi-Stage Risk-Constrained Approach (2016, background): “Nevertheless, most of them focus on conventional producers [3]–[6], which cannot be directly applied by WPPs since WP production is uncertain at the time the offering strategy is decided.”
Bidding Strategy for Microgrid in Day-Ahead Market Based on Hybrid Stochastic/Robust Optimization (2016, background): “If pw = 0, the uncertainty of real-time prices is completely ignored, while if pw = |Jpw|, all uncertainties in real-time prices are fully considered, leading to the most conservative solution [43].”
Two-Stage Minimax Regret Robust Unit Commitment (2013, methodology): “, [30] and [31]), and it is indicated in [26] that managing risk through robust optimization and through stochastic programming incorporating risk measures (e.”
Energy Pricing and Dispatch for Smart Grid Retailers Under Demand Response and Market Price Uncertainty (2015, background): “Moreover, the budget constraint is usually effective to capture such deviation property [13], [25].”
Strategic Bidding for a Virtual Power Plant in the Day-Ahead and Real-Time Markets: A Price-Taker Robust Optimization Approach (2016, background): “Instead of considering a single power quantity to be bought from/sold to the DA and the RT markets for each hour, we build bidding curves following the iterative algorithm proposed in [17].”