Abstract
We provide an economic interpretation with utility functions of the practice consisting in incorporating risk measures as constraints in a classic expected return maximization problem. We also establish a dynamic programming equation. Inspired by this economic approach, we compare two ways to incorporate risk (Conditional Value-at-Risk, CVaR) in generation planning in electrical industry: either as constraints or making use of utility functions deduced from the risk constraints.
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Andrieu, L., De Lara, M., Seck, B. (2010). Taking Risk into Account in Electricity Portfolio Management. In: Rebennack, S., Pardalos, P., Pereira, M., Iliadis, N. (eds) Handbook of Power Systems II. Energy Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12686-4_16
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DOI: https://doi.org/10.1007/978-3-642-12686-4_16
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