Computing Simulation and Heuristic Optimization

of the Marine Diesel Drive Generating

Josko Dvornik

1

, Srðan Dvornik

1

, Eno Tireli

2

1

Faculty of Maritime Studies, University of Split,

Zrinsko frankopanska 38, 21000 Split, Croatia

2

Faculty of Maritime Studies, University of Rijeka,

Studentska 2, 51000 Rijeka, Croatia

Abstract. The aim of this paper is to show the efficiency of the System

Dynamics Computer Simulation Modeling of the dynamics behavior of Marine

Diesel-Drive Generating Set, as one of the most complex and non-linear marine

technical systems. In this paper Marine Diesel-Drive Generating Set will be

presented as a qualitative and quantitative system dynamics computer model

with a special automation aspect provided by two UNIEG-PID-regulators

(Electronics Universal PID Regulators). One of them will be used for diesel-

motor speed (frequency) regulation and the other will be used for the

synchronous electrical generator voltage regulation

.

1 Introduction

The System Dynamics Computer Simulation Modeling Methodology is one of the

most suitable and effective ways of dynamics modeling of complex non-linear,

natural, technical and organization systems. Studying the dynamics behavior of

Marine Electric Power Systems, as one of the more complex dynamic non-linear

technical systems, requires the application of only the most effective modeling

methods.

System dynamic modelling is as a matter of fact a special scientific approach i.e.

“holistic approach” to the dynamics behaviour simulation of the natural, technical and

organisational systems and therefore it includes qualitative and quantitative

simulation modelling regarding varieties of various characters. This Computer

Simulation Model of the Marine Diesel-Drive Synchronous Generating Set is very

suitable education simulator software, especially for marine students and marine

system engineers because it provides them with the means to conduct numerous

simulations for various productive scenarios.

Dvornik J., Dvornik S. and Tireli E. (2005).

Computing Simulation and Heuristic Optimization of the Marine Diesel Drive Generating.

In Proceedings of the 3rd International Workshop on Modelling, Simulation, Veriﬁcation and Validation of Enterprise Information Systems, pages

102-106

DOI: 10.5220/0002571101020106

Copyright

c

SciTePress

2 Simulation model of the marine Diesel-drive generating set

The mathematical model of the Marine Diesel Motor with turbo compressor

The mathematical model or level equations of the diesel engine with turbo-

compression are:

d

dt T

T

d

dt

KT

d

dt

KT

d

dt

K

H

DH DH S S U

D

UD

2

22

1ϕϕ

ϕ

χ

χ

α

α=− − + + − −

⎛

⎝

⎜

⎞

⎠

⎟

(1)

Where:

ϕ

= relative change of angular velocity,

χ

= relative shift of the high-pressure fuel pump cogged shaft,

α

D

= relative consumer load change,

T

H

= time constant proportional to the moment of inertia,

T

DH

= time constant opposite-proportional to the moment of inertia of the engine

as the object of regulation,

K

DH

= self regulating and amplification factor,

T

S

= motor time constant of inertia,

K

S

= motor amplification factor,

T

U

= generator time constant of inertia and

K

U

= load amplification factors.

System Dynamics mental-verbal simulation model of the Marine Diesel Motor with

turbo compressor are presented at SCI 2004 (12).

3 Simulation of behavior dynamics of the marine Diesel-drive

generating

The mixed scenario has been built into this computer simulation model of DDSGS:

l. - diesel engine starts at TIME= 0 (s) and KAPA= gears batten relative shift of high-

pressure fuel pump is shifted (opened), and it is self-started in “idle-running” mode;

2. - synchro-generator starts with its self-exiting process at TIME= 20 (s);

3. - load impedance or resistance R

L

and reactance X

L

starts at TIME= 0 (s). The

R

L

=150 and X

L

==0, which means that DDSGS is in the “idle-running” mode. At

TIME= 40 (s), the R

L

= 1 and X

L

= 1 (nominal load); and

4. - stator short-circuit start at TIME = 70 (s) and R

L

= 0 and X

L

=0, which means that

DDSGS is in the “short circuit” mode.

The authors had installed two automatic short-circuit protection switches also. One of

them had taken out the u

f

= rotor exciting voltage time reaction delay, which is .4 (s)

and the other had taken out the KAPA= relative shift of the high-pressure fuel pump

cogged shaft time reaction delay, which is 2 (s).

Results:

103

Time

FI

0 50 100

1

0,0

1

0,5

1

1,0

1

1,4

1

1,9

1

2,4

Fig. 1. FI- relative change of angular velocity,

Time

I

1

U

2

0 50 100

1

I

2

U

0,0

1

I

2

U

0,7

0,2

1

I

2

U

1,4

0,5

1

I

2

U

2,2

0,7

1

I

2

U

2,9

1,0

1

I

2

U

3,6

1,2

1 2

1

2

1

2

Fig. 2. I- stator current, U- stator voltage

Time

PS1D

1

PS1Q

2

0 50 100

0

5

10

15

1 2

1

2

1 2

Fig. 3. PS1D- damping coil flux linkage in the d-axis, PS1Q- damping coil flux linkage in the

q-axis

Time

PSIQ

1

PSAQ

2

0 50 100

-6

-4

-2

0

1 2

1

2

1 2

Fig. 4. PSIQ- stator flux linkage in the q-axis, PSAQ- stator mutual flux linkage in the q-axis

104

The dynamics behavior reaction to this mixed scenario, after the modeler had finished

the process of "heuristic optimization" by parameters of two UNIREG-PID regulators

("retry and error" computer manual method), is the following set of time curves,

where: FI= relative rate of angular velocity, U= u = stator effective voltage, I= stator

effective current. Everyone acquainted with thermodynamics and electrodynamics

machine sets recognizes the dynamically transient well-known behaviors of the

Marine Diesel-Drive Synchronous Generating Set.

4 Conclusion

The application of System Dynamics Simulation Modeling Approach of the complex

marine dynamic processes, which the authors, together with their graduate students,

carried out at the Maritime Faculty University of Split - Croatia twelve years ago,

revealed the following facts:

l. The System Dynamics Modeling Approach is a very suitable software education

tool for marine students and engineers.

2. System Dynamics Computer Simulation Models of marine systems or processes are

very effective and successfully implemented in simulation and training courses as

part of the marine education process

.

Reference

1. Munitic, A, Application Possibilities of System Dynamics Modelling", System Dynamics,

Proceedings of the SCS Western Multiconference, San Diego, California, USA (1989)

2. Milic, L., Milic, I.., Basic Automatics, in Croatian, University of Split, Maritime Faculty

Dubrovnik, p.246 (1995)

3. Nalepin, R. A. , Demeenko, O.P. Avtomatizacija sudovljih energetskih ustanovok, -

Sudostroennie, in Russian (1975)

4. Isakov, L.I. Kutljin, L.I., Kompleksnaja avtomatizacija sudovljlh dizeljnih i

gazoturbinmljih ustanovok, in Russian, Leningrad, Sudostreonnie (1984)

5. Veretenikov, L.P., Isledovanie procesov v sudovljih elektroenergetieeskih sistemah-teorija

i metodlji, in Russian, Sudostroennie (1975)

6. Suprun, G.F., Sintez sistem elektroenergetiki sudov, in Russian; Leningrad, Sudostroenie

(1972)

7. Milkovic, M., Electrical Device and Systems of Wessels, I-Part, Maritime Faculty

University of Split, Dubrovnik (1996)

8. Munitic, A., Computer Simulation with Help of System Dynamics, in Croatian, science

practical book, Editor: BIS Split, p. 297 (1989)

9. Munitic, A., Antonic, R., Dvornik, J., System dynamics simulation modelling of ship-gas

turbine generator, ICCC'03, International Carpathian Control Conference, 26-29 May,

KOŠICE, SLOVAK, 357-360 (2003)

10. Munitic, A., Antonic, R., Dvornik, J., Computing simulation and heuristic optimization of

ship anchor arrangement, ICCC'03, International Carpathian Control Conference, 26-29

May, KOŠICE, SLOVAK, 353-357 (2003)

11. Munitic, A., Milic, L., Milikovic M., System Dynamics Computer Simulation Model of

the Marine Diesel-Drive Generation Set, IMACS World Congress on Scientific

105

Computation, Modelling and Applied Matematichs, Vol.5, Wiessenschaft & Technik

Verlag, Berlin (1997)

12. Dvornik, J., Munitic, A., Orsulic, System Dynamics Simulation Model of the Marine

Diesel Drive Generation Set, SCI 2004, Orlando, USA (2004).

106