A partial differential equation system for modelling stochastic storage in physical systems with applications to wind power generation
العنوان: | A partial differential equation system for modelling stochastic storage in physical systems with applications to wind power generation |
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المؤلفون: | Sydney Howell, Paul V. Johnson, Nathan Proudlove, Andrew L. Hazel, Peter W. Duck, Mary E Black, Goran Strbac, Helena Pinto |
المصدر: | IMA Journal of Management Mathematics. 22:231-252 |
بيانات النشر: | Oxford University Press (OUP), 2009. |
سنة النشر: | 2009 |
مصطلحات موضوعية: | Mathematical optimization, Wind power, Partial differential equation, business.industry, Stochastic process, Applied Mathematics, Strategy and Management, Physical system, Management Science and Operations Research, Management Information Systems, Electric power system, Orders of magnitude (time), Modeling and Simulation, Systems design, business, General Economics, Econometrics and Finance, Smoothing, Mathematics |
الوصف: | Analytic solutions exist only for highly idealized simple problems in stochastic storage; while simulation is available for complex problems, it is generally impractically slow. In this paper, a system of partial differential equations (PDEs), based on a novel combination of the techniques used to value options in finance, is developed and shown to efficiently value stochastic storage. The PDE system requires somewhat non-standard (but well-defined) numerical solution methods, which are up to nine orders of magnitude faster than simulation (and yet yields the same results). These faster calculations should permit better analysis of system design and operating procedures (including optimization) for a large set of problems in physical and financial stochastic storage. The motivation for this work is in the management of significant amounts of wind-generated electricity into a power system, in particular by smoothing out random fluctuations in supply. |
تدمد: | 1471-6798 1471-678X |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::b83afcdfa27d0671cd65e880cdee4403 https://doi.org/10.1093/imaman/dpp022 |
رقم الأكسشن: | edsair.doi...........b83afcdfa27d0671cd65e880cdee4403 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 14716798 1471678X |
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