Demand allocation analysis for energy purchasers in deregulated energy markets
Refereed conference paper presented and published in conference proceedings

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AbstractIn this paper, the problem of optimal demand allocation in deregulated California energy markets is studied. Recently, this commodity has been deregulated into multiple time sequential markets, known as the block forward, the PX day-ahead and day off, and the ISO realtime energy markets. After deregulation, energy purchasers have to purchase energy on an hourly basis. It is challenging to allocate demand in the above energy markets in an optimal fashion. By using stochastic dynamic programming technique in this study, the problem is resolved and an optimal solution is obtained. We derive the optimal demand allocation criterion. With the optimal allocation measurement it is possible to provide efficient algorithms to divide demand at these time sequential markets.
All Author(s) ListYan HM, Yan HZ, Zhang HQ
Name of ConferenceInternational Conference on Electric Utility Deregulation and Restructuring and Power Technologies
Start Date of Conference04/04/2000
End Date of Conference07/04/2000
Place of ConferenceLONDON
Country/Region of ConferenceGreat Britain
Pages344 - 348
LanguagesEnglish-United Kingdom
Keywordsdynamic programming; energy market; optimization; stochastic models
Web of Science Subject CategoriesEnergy & Fuels; Engineering; Engineering, Electrical & Electronic

Last updated on 2022-17-01 at 00:44