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Supporting the Strategies Alignment Process in Collaborative Networks Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Self-scheduling of Wind-Thermal Systems Using a Stochastic MILP Approach

Authors : Rui Laia, Isaias L. R. Gomes, Hugo M. I. Pousinho, Rui Melício, Victor M. F. Mendes

Published in: Technological Innovation for Smart Systems

Publisher: Springer International Publishing

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Abstract

In this work a stochastic (Stoc) mixed-integer linear programming (MILP) approach for the coordinated trading of a price-taker thermal (Ther) and wind power (WP) producer taking part in a day-ahead market (DAM) electricity market (EMar) is presented. Uncertainty (Uncer) on electricity price (EPr) and WP is considered through established scenarios. Thermal units (TU) are modelled by variable costs, start-up (ST-UP) technical operating constraints and costs, such as: forbidden operating zones, minimum (Min) up/down time limits and ramp up/down limits. The goal is to obtain the optimal bidding strategy (OBS) and the maximization of profit (MPro). The wind-Ther coordinated configuration (CoConf) is modelled and compared with the unCoConf. The CoConf and unCoConf are compared and relevant conclusions are drawn from a case study.

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previous chapter Assessment of Ancillary Service Demand Response and Time of Use in a Market-Based Power System Through a Stochastic Security Constrained Unit Commitment
next chapter Impact of Distributed Generation on the Thermal Ageing of Low Voltage Distribution Cables
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Metadata
Title
Self-scheduling of Wind-Thermal Systems Using a Stochastic MILP Approach
Authors
Rui Laia
Isaias L. R. Gomes
Hugo M. I. Pousinho
Rui Melício
Victor M. F. Mendes
Copyright Year
2017
Book
Technological Innovation for Smart Systems

Print ISBN: 978-3-319-56076-2

Electronic ISBN: 978-3-319-56077-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-56077-9_23

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