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Research Papers: Gas Turbines: Electric Power

Optimum Planning of Electricity Production

[+] Author and Article Information
Giovanni Cerri

Dipartimento di Ingegneria Meccanica e Industriale, Università Roma Tre, Roma 00146, Italycerri@uniroma3.it

Marco Gazzino, Francesca Alessandra Iacobone, Ambra Giovannelli

Dipartimento di Ingegneria Meccanica e Industriale, Università Roma Tre, Roma 00146, Italy

J. Eng. Gas Turbines Power 131(6), 061801 (Jul 20, 2009) (10 pages) doi:10.1115/1.3098429 History: Received January 02, 2009; Revised January 06, 2009; Published July 20, 2009

The problem of planning the production of a pool of power plants has been deeply investigated. Maintenance management and load allocation problems have been assumed as crucial aspects for achieving maximum plant profitability. A production-planning approach has been developed, and genetic algorithm techniques have been adopted to implement the developed approach. Life consumption of gas turbines’ hot-section components has been considered as a key element required in simulating plants’ behaviors. As a result, a deterioration model has been developed and included into the planning algorithm. The developed approach takes market scenarios, as well as actual statuses and performances of plant components into account. The plants’ physical models are developed on a modular approach basis and provide the operating parameters required by the planning algorithm. Neural network techniques have been applied to speed up the simulation. Economic implications related to maintenance strategies, including postponement or anticipation of maintenance interventions, are investigated and the results obtained by the numerical simulation are presented and widely discussed.

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Copyright © 2009 by American Society of Mechanical Engineers
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Figures

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Figure 1

Graphic representation of the life consumption rate f, evaluated at the operating time instant h1

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Figure 2

Planning algorithm flow diagram, including operator (enclosed in a dotted-line box) and supervisor (other sections)

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Figure 3

Integration of plant simulators within the planning algorithm based on genetic algorithms

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Figure 4

Sale price for power distribution

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Figure 5

Allocated load on GT and consumed life fraction of HGPPs with reference to the first plant of the pool

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Figure 6

Allocated load on GT and consumed life fraction of HGPPs with reference to the second plant of the pool

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Figure 7

Allocated load on GT and consumed life fraction of HGPPs with reference to the third plant of the pool

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Figure 8

Allocated load on GT and consumed life fraction of HGPPs with reference to the fourth plant of the pool

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Figure 9

Allocated load on GT and consumed life fraction of HGPPs with reference to the fifth plant of the pool

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Figure 10

Convergence curves (Intel Pentium IV 2 GHz)

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