مدل سازي ديناميكي و شناسايي توربين نيروگاه برق آبي عباسپور بر اساس آزمون هاي ميداني

Dynamic Modeling and Identification of The Hydro Turbine Using Field Test Data (Case Study: Abbaspour Power Plant)

ﻣﺪﻝﺳـﺎﺯﻱ ﻭ ﺷـﻨﺎﺳـﺎﻳﻲ ﺳـﻴﺴـﺘﻢﻫﺎﻱ ﻣﺨﺘﻠﻒ ﻭﺍﺣﺪ ﻧﻴﺮﻭﮔﺎﻫﻲ ﺁﺑﻲ ﻫﻤﭽﻮﻥ ﺗﻮﺭﺑﻴﻦ، ﮔﺎﻭﺭﻧﺮ ﻭ ﺳـﻴﺴـﺘﻢ ﺗﺤﺮﻳﻚ ﺟﻬﺖ ﺍﻧﺠﺎﻡ ﻣﻄﺎﻟﻌﺎﺕ ﭘﺎﻳﺪﺍﺭﻱ ﻭ ﺩﻳﻨﺎﻣﻴﻚ ﺷﺒﻜﻪ ﻣﻮﺭﺩﻧﻴﺎﺯ ﺍﺳﺖ. ﺗﻮﺭﺑﻴﻦ ﻭﺍﺣﺪ ﺁﺑﻲ ﻣﻜﺎﻧﻴﻜﻲ ﺍﺳﺖ ﻭ ﻣﻌﻤﻮﻻً ﺍﻧﺠﺎﻡ ﺁﺯﻣﻮﻥﻫﺎﻱ ﺷــﻨﺎﺳــﺎﻳﻲ ﺑﺮﺍﻱ ﺍﺳــﺘﺨﺮﺍﺝ ﻣﺪﻝ ﺁﻥ ﻧﻴﺎﺯ ﺍﺳــﺖ. ﺩﺭ ﺍﻳﻦ ﻣﻘﺎﻟﻪ، ﻣﺪﻝ ﺧﻄﻲ ﻭ ﻏﻴﺮﺧﻄﻲ ﺗﻮﺭﺑﻴﻦ ﻓﺮﺍﻧﺴﻴﺲ ﻭﺍﺣﺪ 8 ﻧﻴﺮﻭﮔﺎﻩ ﺷﻬﻴﺪ ﻋﺒﺎﺳﭙﻮﺭ ﺍﺭﺍﺋﻪ ﻣﻲﺷﻮﺩ. ﺷﻨﺎﺳﺎﻳﻲ ﺍﻳﻦ ﻣﺪﻝﻫﺎ ﺑﻪ ﺭﻭﺵ ﺗﺠﺮﺑﻲ ﻭ ﺑﺎ ﺗﺠﺰﻳﻪﻭﺗﺤﻠﻴﻞ ﺩﺍﺩﻩﻫﺎﻱ ﺁﺯﻣﻮﻥﻫﺎﻱ ﻣﻴﺪﺍﻧﻲ ﺩﺭ ﺟﻌﺒﻪﺍﺑﺰﺍﺭ ﺷــﻨﺎﺳــﺎﻳﻲ ﻣﺘﻠﺐ ﺻــﻮﺭﺕ ﻣﻲﮔﻴﺮﺩ. ﺁﺯﻣﻮﻥﻫﺎ ﺑﻪﺻﻮﺭﺕ ﺍﻓﺰﺍﻳﺶ ﻭ ﻛﺎﻫﺶ ﺑﺎﺭ ﻭﺍﺣﺪ ﺩﺭ ﺗﻮﺍﻥﻫﺎﻱ ﻣﺨﺘﻠﻒ ﻭﺍﺣﺪ ﺍﺳﺖ. ﻣﺪﻝ ﺧﻄﻲ ﺗﻮﺭﺑﻴﻦ ﻣﻨﻄﺒﻖ ﺑﺮ ﻣﺪﻝ IEEEG2 ﺍﺳﺖ ﻭ ﺯﻣﺎﻥ ﺷﺮﻭﻉ ﺁﺏ ﺑﺮﺍﺑﺮ ﻣﻘﺪﺍﺭ ﻣﻴﺎﻧﮕﻴﻦ 1,33 ﺛﺎﻧﻴﻪ ﺑﻪ ﺩﺳﺖ ﻣﻲﺁﻳﺪ. ﻣﺪﻝ ﺧﻄﻲ ﺩﺭ ﭘﻴﺶﺑﻴﻨﻲ ﺑﺎﺭﻫﺎﻱ ﻣﻴﺎﻧﻲ ﻭ ﭘﺎﻳﻴﻦ ﺧﻄﺎﻱ ﺯﻳﺎﺩﻱ ﺩﺍﺭﺩ ﻛﻪ ﻧﺎﺷــﻲ ﺍﺯ ﺭﻓﺘﺎﺭ ﻏﻴﺮﺧﻄﻲ ﺗﻮﺭﺑﻴﻦ ﺍﺳــﺖ. ﺑﺮﺍﻱ ﺗﺼﺤﻴﺢ ﺧﻄﺎ، ﻣﺪﻝ ﺍﺻﻼﺡﺷﺪﻩ ﻏﻴﺮﺧﻄﻲ ﻛﻪ ﺗﻮﺍﻥ ﺭﺍ ﺑﻪﺻﻮﺭﺕ ﭼﻨﺪﺟﻤﻠﻪﺍﻱ ﻣﺮﺗﺒﻪ 5 ﺍﺯ ﮔﺸﻮﺩﮔﻲ ﺑﻪ ﺩﺳﺖ ﻣﻲﺩﻫﺪ ﺑﺮﺍﻱ ﺗﻮﺭﺑﻴﻦ ﺷﻨﺎﺳﺎﻳﻲ ﻣﻲﮔﺮﺩﺩ. ﺻﺤﺖﺳﻨﺠﻲ، ﺩﻗﺖ ﺑﺎﻻﻱ ﻣﺪﻝ ﻏﻴﺮﺧﻄﻲ ﺩﺭ ﺷﺒﻴﻪﺳﺎﺯﻱ ﺭﻓﺘﺎﺭ ﺩﻳﻨﺎﻣﻴﻜﻲ ﺗﻮﺭﺑﻴﻦ ﺭﺍ ﻧﺸﺎﻥ ﻣﻲﺩﻫﺪ.

In order to study the stability and fast dynamic of the power grid, modeling and identification of hydropower plant systems such as turbine, governor and excitation is required. Turbine is a mechanical device and usually identified through field tests. In this paper, the identification of the unit 8 of Abbaspour power plant is conducted. The linear and nonlinear model of the Francis turbine are introduced. These models show the dynamic relation of the electric power and wicket gate position. In this study, the test data are processed and analyzed using the identification toolbox of Matlab software. The linear model is based on the IEEEG2 model and the average of water start time is obtained 1.33 second. The results show lots of deviation in predicting low loads due to nonlinear behavior of turbine. For eliminating these faults, a modified non-linear polynomial model of turbine is identified. Validation of the identified nonlinear model shows its high accuracy in the modeling of turbine dynamic behavior.