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 language | English (US) |
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Article number | 7039381 |
Pages (from-to) | 199-204 |
Number of pages | 6 |
Journal | Unknown Journal |
Volume | 2015-February |
Issue number | February |
DOIs | |
State | Published - 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