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 optimization. The system’s optimization is much cheaper. Problem is in optimal settings’ search of Kegums HPP’s excitation system.

Description of used models    pK  ( ) ( ) ∆ K f ( ) ( ) ( )     ∆ = ∆ + + ∆ + + ∆ ⋅ E p U p K pK f p pK I p pK ′ ′ fd U   f I  U f 1  1 + f + Tp T p    y

Description of used models Hydraulic turbine and Equivalent Latvian system governor Transformer Synchronous generator generator Excitation system Fault simulation block

Used method t t t ( ) ( ) ( ) ( ) ( ) ( ) min Α = α − + α − + α − → P t P t dt V t V t dt f t f t dt ∫ ∫ ∫ 1 G 2 G 3 G ref ref ref 0 0 0 t ( ) ( ) min = − → A P t P t dt ∫ 1 G ref 0 t t ( ) ( ) ( ) ( ) min = − → A V t V t dt ∫ 2 G ref 0 t ( ) ( ) ∫ min = − → A f t f t dt 3 G ref 0

Variants of coefficients used for the study of optimization the excitation system of Kegums HPP = 15 25 50 K , , (p. u.); � U 6 6 8 8 5 5 = = K K from from to to . . (p. (p. u.); u.); ′ ′ U U 11 14 4 = K from to . (p. u.); � f 4 5 5 = K from to . (p. u.); ′ f 2 3 . = K from to (p. u.) ′ I f

Variations of objective function A 3 for different variants of coefficients during short circuit Variations of Kegums HPP generator’s frequency depending on combinations of control coefficients

Variations of objective function A 2 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 objective function. Using criteria, is possible to improve objective 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