Title :
Power output smoothing for hybrid wind-solar thermal plant using chance-constrained model predictive control
Author :
Yo, Masaki ; Ono, Masahiro ; Adachi, Shuichi ; Murayama, Dai ; Okita, Nobuo
Author_Institution :
Keio Univ., Yokohama, Japan
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.
Keywords :
Pareto optimisation; control system synthesis; power grids; predictive control; solar power stations; thermal power stations; wind power plants; wind turbines; Pareto-optimal performance; chance-constrained MPC-based control method; chance-constrained model predictive control; controller parameter design; fluctuating wind power; hybrid wind-solar thermal plant; power grid; power output smoothing; sensitive electrical devices; wind turbine; Data models; Optimization; Power grids; Predictive models; Standards; Wind power generation; Wind turbines;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7039500