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Electrical Engineering and Applied Computing pp 1–13Cite as

Mathematical Modelling for Coal Fired Supercritical Power Plants and Model Parameter Identification Using Genetic Algorithms

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 90))

Abstract

The paper presents the progress of our study of the whole process mathematical model for a supercritical coal-fired power plant. The modelling procedure is rooted from thermodynamic and engineering principles with reference to the previously published literatures. Model unknown parameters are identified using Genetic Algorithms (GAs) with 600MW supercritical power plant on-site measurement data. The identified parameters are verified with different sets of measured plant data. Although some assumptions are made in the modelling process to simplify the model structure at a certain level, the supercritical coal-fired power plant model reported in the paper can represent the main features of the real plant once-through unit operation and the simulation results show that the main variation trends of the process have good agreement with the measured dynamic responses from the power plants.

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Abbreviations

ff :

Fitness function for genetic algorithms

ffr :

Pulverized fuel flow rate (kg/s)

h :

Enthalpy per unit mass (MJ/kg)

K :

Constant parameter

k :

Mass flow rate gain

m :

Mass (kg)

\( \dot{m} \) :

Mass flow rate (kg/s)

P :

Pressure of a heat exchanger (MPa)

\( \dot{Q} \) :

Heat transfer rate (MJ/s)

R :

Response

T :

Temperature (°C)

t :

Time (s)

?:

Time constant (s)

U :

Internal energy (MJ)

V :

Volume of fluid (m3)

\( \dot{W} \) :

Work rate or power (MW)

x :

Generator reactance (p.u)

y :

Output vector

? :

Density (kg/m3)

? :

Valve opening

? :

Rotor angle (rad)

? :

Mechanical angle (rad)

? :

Speed (p.u)

?:

Torque (p.u)

a :

Accelerating

air :

Air

e :

Electrical

d :

Direct axis

ec :

Economizer

hp :

High pressure turbine

hx :

Heat exchanger

i :

Inlet

ip :

Intermediate pressure turbine

me :

Mechanical

ms :

Main steam

m :

Measured

o :

Outlet

out :

Output of the turbine

q :

Quadrature axis

rh :

Reheater

sh :

Superheater

si :

Simulated

ww :

Waterwall

BMCR:

Boiler maximum continuous rate

ECON:

Economizer

GA:

Genetic algorithm

HP:

High pressure

HX:

Heat exchanger

IP:

Intermediate pressure

MS:

Main steam

RH:

Reheater

SC:

Supercritical

SH:

Superheater

WW:

Waterwall

References

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Acknowledgments

The authors would like to give our thanks to E.ON Engineering for their support and engineering advices. The authors also want to thank EPSRC (RG/G062889/1) and ERD/AWM Birmingham Science City Energy Efficiency and Demand Reduction project for the research funding support.

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Authors and Affiliations

  1. School of Electrical, Electronics, and Computer Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK

    Omar Mohamed, Jihong Wang, Shen Guo & Jianlin Wei

  2. School of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK

    Bushra Al-Duri

  3. Department of Thermal Engineering, Tsinghua University, Beijing, People’s Republic of China

    Junfu Lv & Qirui Gao

Authors
  1. Omar Mohamed
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  2. Jihong Wang
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  3. Shen Guo
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  4. Jianlin Wei
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  5. Bushra Al-Duri
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  6. Junfu Lv
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  7. Qirui Gao
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Corresponding author

Correspondence to Omar Mohamed .

Editor information

Editors and Affiliations

  1. The University of Hong Kong, Hung To Road, Hong Kong, 3739, China, People's Republic

    Sio-Iong Ao

  2. School of Engineering, Applied Mathematics and Computing, Cranfield University, Cranfield, MK43 0AL, Montserrat

    Len Gelman

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Mohamed, O. et al. (2011). Mathematical Modelling for Coal Fired Supercritical Power Plants and Model Parameter Identification Using Genetic Algorithms. In: Ao, SI., Gelman, L. (eds) Electrical Engineering and Applied Computing. Lecture Notes in Electrical Engineering, vol 90. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1192-1_1

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  • DOI: https://doi.org/10.1007/978-94-007-1192-1_1

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-1191-4

  • Online ISBN: 978-94-007-1192-1

  • eBook Packages: EngineeringEngineering (R0)

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