Power output smoothing for hybrid wind-solar thermal plant using chance-constrained model predictive control

Masaki Yo, Masahiro Ono, Shuichi Adachi, Dai Murayama, Nobuo Okita

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Fluctuating wind power must be smoothed before supplied to a power grid in order to prevent potential damages of sensitive electrical devices connected to the grid. This paper considers a hybrid wind-solar thermal plant, where the output from the wind turbine is smoothed by bypassing through the thermal plant. We propose a chance-constrained MPC-based control method that optimally decides the ratio of the wind output that is bypassed through the thermal plant so that the rapid fluctuation of output is suppressed while the direct power output is maximized. The controller's parameters are designed in a way that result in a Pareto-optimal performance. We demonstrate the performance of the proposed method through simulations using real data.

Original languageEnglish
Article number7039500
Pages (from-to)928-934
Number of pages7
JournalUnknown Journal
Volume2015-February
Issue numberFebruary
DOIs
Publication statusPublished - 2014

Fingerprint

Solar wind
predictive model
Model predictive control
Model Predictive Control
Smoothing
Hot Temperature
Output
fluctuation
performance
damages
Grid
Wind turbines
Wind power
Wind Power
simulation
Wind Turbine
Controllers
Damage
Fluctuations
Controller

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

Cite this

Power output smoothing for hybrid wind-solar thermal plant using chance-constrained model predictive control. / Yo, Masaki; Ono, Masahiro; Adachi, Shuichi; Murayama, Dai; Okita, Nobuo.

In: Unknown Journal, Vol. 2015-February, No. February, 7039500, 2014, p. 928-934.

Research output: Contribution to journalArticle

Yo, Masaki ; Ono, Masahiro ; Adachi, Shuichi ; Murayama, Dai ; Okita, Nobuo. / Power output smoothing for hybrid wind-solar thermal plant using chance-constrained model predictive control. In: Unknown Journal. 2014 ; Vol. 2015-February, No. February. pp. 928-934.
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