A two-dimensional design and synthesis method for coordinated control of flexible-operational combined cycle of gas turbine

Nianci Lu, Lei Pan, Simon Pedersen and Ahmad Arabkoohsar

Energy, 2023, vol. 284, issue C

Abstract: The conventional combined cycle of gas turbine (CCGT) coordinated control strategy cannot quickly track the increasingly frequent and rapidly changing automatic generation control (AGC) commands due to the high penetration of renewable energy. In this study, a novel CCGT coordinated control strategy is proposed based on a two-dimensional design method consisting of time-scale decomposition and energy-flow coupling analysis. First, some critical design parameters of coordinated control, such as the power assignment ratios of gas turbine and steam turbine, and the energy storage coefficients of the heating networks are derived from energy-flow coupling analysis. Then, the AGC commands are decomposed into peak-shaving signals, low-frequency signals, and high-frequency signals from time-scale dimensional. As a result, a novel CCGT coordinated control strategy with precise dynamic heat-power conversion compensation is proposed and synthesized using distributed model predictive control to solve the large inertia, constrained, multivariable control problems. Simulation results show that the absolute integral error of the AGC tracking decreases to 1736 and the maximum ramping rate of the gas turbine is decreased by 20% without affecting the extraction steam flow under the proposed control strategy. All three indicators demonstrate the advantages of the coordinated control strategy designed by the proposed two-dimensional method.

Keywords: Combined cycle of gas turbine; Distributed model predictive control; Coordinate control system; Automatic generation control; Two-dimensional design (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544223019709
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:284:y:2023:i:c:s0360544223019709

DOI: 10.1016/j.energy.2023.128576

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().