Stochastic optimization based economic dispatch and interruptible load management with distributional forecast of wind farm generation

Lei Yang, Miao He, Vijay Vittal, Junshan Zhang

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

We study stochastic optimization of economic dispatch (ED) and interruptible load management using short-term distributional forecast of wind farm generation. Specifically, we develop a Markov-chain-based distributional forecast model for wind farm generation based on spatial and temporal characteristics of the wind turbine power output in a wind farm. Built on the distributional forecast model, the joint optimization of ED and interruptible load management is cast as a stochastic optimization problem. The proposed stochastic ED problem is compared with the deterministic ED problem using the persistence wind generation forecast model, and also with the scenario-based ED formulation which uses all possible wind generation states. Numerical studies, using a modified IEEE RTS 24-bus system and realistic wind measurement data from an actual wind farm, demonstrate the significant benefits obtained by leveraging the Markov-chain-based distributional forecast and the interruptible load management.

Original languageEnglish (US)
Article number7039381
Pages (from-to)199-204
Number of pages6
JournalUnknown Journal
Volume2015-February
Issue numberFebruary
DOIs
StatePublished - 2014

Keywords

  • Economic dispatch
  • spatio-temporal analysis
  • wind farm generation forecast
  • wind generation integration

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Fingerprint Dive into the research topics of 'Stochastic optimization based economic dispatch and interruptible load management with distributional forecast of wind farm generation'. Together they form a unique fingerprint.

  • Cite this