Object-oriented simulation for primary reserve scheduling in a combined cycle power plant

To produce the power with higher overall efficiency and reasonable cost is ultimate aim for the power industries in the power deficient scenario. Though combined cycle power plant is most efficient way to produce the power in today’s world, rapidly increasing fuel prices motivates to define a strategy for cost-effective optimization of this system. The heat recovery steam generator is one of the equipment which is custom made for combined cycle power plant. So, here the particular interest is to optimize the combined power cycle performance through optimum design of heat recovery steam generator. The case of combined cycle power plant re-powered from the existing Rankine cycle based power plant is considered to be simulated and optimized. Various possible configuration and arrangements for heat recovery steam generator has been examined to produce the steam for steam turbine. Arrangement of heat exchangers of heat recovery steam generator is optimized for bottoming cycle’s power through what-if analysis. Steady state model has been developed using heat and mass balance equations for various subsystems to simulate the performance of combined power cycles. To evaluate the performance of combined power cycles and its subsystems in the view of second law of thermodynamics, exergy analysis has been performed and exergetic efficiency has been determined. Exergy concepts provide the deep insight into the losses through subsystems and actual performance. If the sole objective of optimization of heat recovery steam generator is to increase the exergetic efficiency or minimizing the exergy losses then it leads to the very high cost of power which is not acceptable. The exergo-economic analysis has been carried to find the cost flow from each subsystem involved to the combined power cycles. Thus the second law of thermodynamics combined with economics represents a very powerful tool for the systematic study and optimization of combined power cycles. Optimization studies have been carried out to evaluate the values of decision parameters of heat recovery steam generator for optimum exergetic efficiency and product cost. Genetic algorithm has been utilized for multi-objective optimization of this complex and nonlinear system. Pareto fronts generated by this study represent the set of best solutions and thus providing a support to the decision-making.

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Control and Dynamic Simulation for a Combined Cycle Power Plant: The Process and Control Strategies

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)34478-6 ◽

2003 ◽

Vol 36 (20) ◽

pp. 267-272 ◽

Cited By ~ 1

Author(s):

Marino Sanchez-Parra ◽

Yenisse Rudecino-Mendoza

Keyword(s):

Power Plant ◽

Dynamic Simulation ◽

Control Strategies ◽

Combined Cycle ◽

Combined Cycle Power Plant ◽

And Control

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Steam Turbine Driving Compressor for Gas-Steam Combined Cycle Power Plant

Volume 6: Emerging Technologies: Alternative Energy Systems; Energy Systems: Analysis, Thermodynamics and Sustainability ◽

10.1115/imece2009-11040 ◽

2009 ◽

Author(s):

Wancai Liu ◽

Hui Zhang

Keyword(s):

Power Generation ◽

Power Plant ◽

Steam Turbine ◽

Gas Turbine ◽

Combined Cycle ◽

Thermodynamic Process ◽

Combined Cycle Power Plant ◽

Steam Cycle

Gas turbine is widely applied in power-generation field, especially combined gas-steam cycle. In this paper, the new scheme of steam turbine driving compressor is investigated aiming at the gas-steam combined cycle power plant. Under calculating the thermodynamic process, the new scheme is compared with the scheme of conventional gas-steam combined cycle, pointing its main merits and shortcomings. At the same time, two improved schemes of steam turbine driving compressor are discussed.

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