A Control-variable Regression Monte Carlo Technique for Short-term Electricity Generation Planning
(English)Manuscript (preprint) (Other academic)
n the day-to-day operation of a power system, the system operator repeatedly solves short-termgeneration planning problems. When formulating these problems theoperators have to weigh the riskof costly failures against increased production costs. The resulting problems are often high-dimensionaland various approximations have been suggested in the literature.In this article we formulate the short-term planning problem as an optimal switching problem withdelayed reaction. Furthermore, we proposed a control variable technique that can be used in MonteCarlo regression to obtain a computationally efficient numerical algorithm.
Probability Theory and Statistics Control Engineering
Research subject Physics, Electrotechnology
IdentifiersURN: urn:nbn:se:lnu:diva-61573OAI: oai:DiVA.org:lnu-61573DiVA: diva2:1083540