Strategic Generation Investment Using a Complementarity Approach

By S. J. Kazempour, Antonio J. Conejo, Carlos Ruiz. IEEE Transactions on Power Systems, 2011

210 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5ef1a0f6fe7e7be2ad6ffdd512ee86791679eabd

How researchers see this paper

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In Electrical and Electronic Engineering

1. Luis Baringo
2. Nima Amjady
3. Wei Wei
4. ShengWei Mei
5. Jianhui Wang
6. Feng Liu
7. Antonio J. Conejo
8. Wei Qiao

Citations in the corpus

• Finding Equilibria in the Pool-Based Electricity Market With Strategic Wind Power Producers and Network Constraints (2017, background): “The EPEC has also been proven effective in solving generator expansion [12], transmission expansion [13], generator maintenance problems [14], etc.”
• Risk-Based Admissibility Assessment of Wind Generation Integrated into a Bulk Power System (2015, methodology): “(5) is a bi-level mixed integer linear program (MILP) and can be solved by many effective methods, such as the Karush-Kuhn-Tucker (KKT) condition based method [20], and the strong duality theory based method [20], [21].”
• Generation Capacity Expansion in Liberalized Electricity Markets: A Stochastic MPEC Approach (2011, methodology): “Finally, the model yields an investment schedule over the entire time horizon, as opposed to a static investment decision for a future target year, as done in [15].”
• Energy Pricing and Dispatch for Smart Grid Retailers Under Demand Response and Market Price Uncertainty (2015, methodology): “In this paper, we adopt the former to reformulate the consumers’ problems, and use the strong duality condition to linearize the objective of (1) according to the method presented in [27], [30], and [31].”
• Wind Power Investment: A Benders Decomposition Approach (2012, background): “Note that the nature of wind power makes wind producers competitive rather than strategic [13], and thus, strategic behavior does not need to be modeled.”
• Two-Stage Robust Generation Expansion Planning: A Mixed Integer Linear Programming Model (2014, methodology): “Although this problem can be faded through increasing the number of certain scenarios, the size of stochastic GEP problem will grow significantly [15].”
• Risk-Constrained Multi-Stage Wind Power Investment (2013, background): “Most of these references tackle the investment problem in conventional generation sources [1]–[3].”