z-logo
open-access-imgOpen Access
PID-Type Fuzzy Controller for Grid-Supporting Inverter of Battery in Embedded Small Variable Speed Wind Turbine
Author(s) -
Ferdian Ronilaya,
Hajime Miyauchi,
Adi Kurniawan
Publication year - 2014
Publication title -
journal of power and energy engineering
Language(s) - English
Resource type - Journals
eISSN - 2327-5901
pISSN - 2327-588X
DOI - 10.4236/jpee.2014.24022
Subject(s) - pid controller , turbine , inverter , battery (electricity) , control theory (sociology) , controller (irrigation) , variable (mathematics) , variable speed wind turbine , computer science , grid , automotive engineering , engineering , control engineering , electrical engineering , control (management) , voltage , physics , aerospace engineering , power (physics) , mathematics , permanent magnet synchronous generator , temperature control , artificial intelligence , agronomy , quantum mechanics , biology , mathematical analysis , geometry
Frequency and voltage of embedded variable speed wind turbine (VSWT) driving a permanent magnet synchronous generator (PMSG) is strongly affected by wind speed fluctuations. In practice, power imbalance between supply and demand is also common, especially when VSWT-PMSG is connected to a weak micro grid (MG). If load demand fluctuations become high, isolated MG may be unable to stabilize the frequency and voltage so that battery storage needs to be installed into the MG to adjust energy supply and demand. To allow flexible control of active and reactive power flow from/to battery storage, grid-supporting inverters are used. For a system that contains highly nonlinear components, the use of conventional linear proportional-integral-derivative (PID) controllers may cause system performance deterioration. Additionally, these controllers show slow, oscillating responses, and complex equations are required to obtain optimum responses in other controllers. To cope with these limitations, this paper proposes PID-type fuzzy controller (PIDfc) design to control grid-supporting inverter of battery. To ensure safe battery operating limits, we also propose a new controller scheme called intelligent battery protection (IBP). This IBP is integrated into PIDfc. Several simulation tests are performed to verify the scheme’s effectiveness. The results show that the proposed PIDfc controller exhibits improved performance and acceptable responses, and can be used instead of conventional controllers.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom