The energy management strategy of two-by-one combined cycle gas turbine based on dynamic programming

Nianci Lu, Lei Pan, Guomin Cui, Simon Pedersen, Mojtaba Shivaie and Ahmad Arabkoohsar

Energy, 2024, vol. 313, issue C

Abstract: The complexity and nonlinearity of components in large-scale thermal facilities have resulted in a lack of recognized energy management models, and simple rule-based energy management strategies are still the main approach, which reduces their operating efficiency. In this study, a dynamic programming (DP) method for globally optimal power distribution and operation mode decision for two-by-one combined cycle gas turbine is proposed. First, the energy management model of system is established. Then the drum pressure of the heat recovery steam generator, which indicates the thermal energy storage of the system, is chosen as the state variable, while the control variables are the gas turbine power, turbine power and operation mode. In addition, the system response time is considered to re-evaluated the mode switch command. The simulation results show that the DP optimizes the thermal storage management, which allows the gas turbine to run in the high-efficiency operating range for a longer time. The DP-based strategy saves 6.25 %, 5.89 %, and 4.92 % of fuel at initial drum pressure 8 MPa, 9 MPa, and 10 MPa, respectively, compared to the rule-based strategy. The results of this study can be used as a benchmark to evaluate online energy management strategies in future work.

Keywords: Dynamic programming; Energy management strategy; Globally optimal power distribution; Operation mode decision; Thermal storage management (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:313:y:2024:i:c:s0360544224038611

DOI: 10.1016/j.energy.2024.134083

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