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Global optimization of mathematical programs with complementarity constraints and application to clean energy deployment

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Abstract

We study the problem of clean energy introduction under emission regulations using the generation expansion models developed by He et al. (Comput Ind Eng 63:708–716, 2012). A game theoretic approach was used to model capacity investments and new technology introduction in response to carbon emission regulations. We report algorithmic advancements that were made to enhance the performance of BARON (Tawarmalani and Sahinidis, Math Progr 103:225–249, 2005) on this and other mathematical programs with complementarity constraints.

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Acknowledgments

The authors are thankful to Dr. Yanyi He and Dr. Linzi Wang for extensive discussions on this subject.

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Correspondence to Nikolaos V. Sahinidis.

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Zhang, Y., Sahinidis, N.V. Global optimization of mathematical programs with complementarity constraints and application to clean energy deployment. Optim Lett 10, 325–340 (2016). https://doi.org/10.1007/s11590-015-0880-9

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