THE INFLUENCE OF EXCITATION SYSTEMS PARAMETERS TO THE POWER SYSTEM - - PowerPoint PPT Presentation

The 6th International Conference on Electrical and Control Technologies 5-6 May 2011, Kaunas, Lithuania

THE INFLUENCE OF EXCITATION SYSTEM’S PARAMETERS TO THE POWER SYSTEM STABILITY POWER SYSTEM STABILITY

Vladimir CHUVYCHIN, Roman PETRICHENO, Nikolay GUROV, Ainars DAMBIS Riga Technical University, Latvia; Latvenergo AS, Latvia

Presentation content:

Problem Review Description of used simulation models Description of used method Results Results Conclusion

Problem

Modernization of equipment in the Latvian power system takes place during the last decades. For example, modernization was done for Riga and Plavinas HPP’s excitation systems. Kegums HPP is the exception of this modernization. Parameters of Kegums HPP’s excitation system have not been

• changed. Taking into account these parameters as optimal is impossible,
• changed. Taking into account these parameters as optimal is impossible,

because Riga and Plavinas HPP’s dynamic behavior was changed. Kegums HPP’s excitation system needs modernization or

• ptimization. The system’s optimization is much cheaper.

Problem is in optimal settings’ search of Kegums HPP’s excitation system.

Description of used models

( ) ( )(

)

( ) ( )

1 1 + ⋅ ∆ + ′ + + ∆ ∆ + ′ + ∆ = ∆

              

p y T K f I pK p f I f pK Tp f pK p f U pK U K p U p fd E

Description of used models

Hydraulic turbine and governor Equivalent Latvian system Transformer Synchronous generator Fault simulation block generator Excitation system

Used method

( ) ( )

min 1 → ∫ − = t dt t ref P t G P A

( ) ( ) ( ) ( ) ( ) ( )

min ref G 3 ref G 2 ref G 1 → ∫ − + ∫ − + ∫ − = Α t dt t f t f t dt t V t V t dt t P t P α α α

( ) ( )

t

( ) ( )

∫ → − = t dt t ref V t G V A min 2

( ) ( )

∫

→ − =

t ref G

dt t f t f A

3

min

Variants of coefficients used for the study of

• ptimization the excitation system of

Kegums HPP

5 8 6 50 25 15 u.); (p. . to from U K u.); (p. , , U K = ′ = . 3 2 5 5 4 4 14 11 5 8 6 u.) (p. to from f I K u.); (p. . to from f K u.); (p. . to from f K u.); (p. . to from U K = ′ = ′ = = ′

Variations of objective function A3 for different variants of coefficients during short circuit Variations of Kegums HPP generator’s frequency depending

• n combinations of control

coefficients

Variations of objective function A2 for different variants of coefficients during short circuit Variations of Kegums HPP generator’s voltage depending on combinations of control coefficients

Simplified diagram of interconnected power plants. Figure represents investigated network of the Latvian power system. system.

Variations of Kegums HPP generator’s active power depending on combination of control coefficients. coefficients.

Variations of Kegums HPP generator’s frequency depending on combination of control coefficients. coefficients.

Variations of Kegums HPP generator’s voltage depending on combination of control combination of control coefficients.

Conclusion

• a. Influence of PSS parameters on dynamic of control process

is investigated.

• b. Optimal parameters for Kegums HPP are selected using
• bjective function. Using criteria, is possible to improve
• bjective function. Using criteria, is possible to improve

damping of synchronous generator’s output parameters and in some cases can prevent out-of-step condition.

• c. The results of investigations which are done, using simulation

model of the Latvian power system, show that optimization of Kegums HPP’s excitation system’s parameters can increase stability and efficiency.

Thank You for Your Attention! I am ready to answer you I am ready to answer you questions

Roman PETRICHENO, Romans.Petricenko@rtu.lv