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Optimal Tuning of PSS Parameters Based on GRS Algorithm forSmall-Signal Stability Enhancement

عنوان مقاله: Optimal Tuning of PSS Parameters Based on GRS Algorithm forSmall-Signal Stability Enhancement
شناسه ملی مقاله: BPJ03_104
منتشر شده در سومین کنفرانس ملی رویکردهای نوین در مهندسی کامپیوتر و برق در سال 1396
مشخصات نویسندگان مقاله:

Peyman Naderi - Shahid Rajaee Teacher Training University, Tehran, Iran,
Behzad Ehsan-Maleki - Shahid Rajaee Teacher Training University, Tehran, Iran,
Hamzeh Beiranvand - Lorestan University, Khorram abad, Iran

خلاصه مقاله:
Power system stabilizers (PSSs) are the most well-known and effective tools to damp power system oscillations caused by disturbances. Damping scale s expected value for electromechanical modes are extracted and used to form an objective function. The objective function is solved by General Relativity Search Algorithm (GRSA). In this paper, GRSA is used to design PSSs in the two-area ten-machine system of 39-bus NewEngland test system. Finally, a comparison with famous GAs is given. The results of the GRSAPSS are demonstrated through time domain analysis, eigenvalues and performance indices

کلمات کلیدی:
Small-signal stability, power system stabilizer(PSS), optimization algorithms, general relativity searchalgorithm (GRSA)

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/657902/