Microturbine Control Modeling to Investigate the Effects of Distributed Generation in Electric Energy Networks

The great attention of research initiatives to sustainable energy systems calls for contributions in modeling new small size generation plants exploiting innovative technologies. In such a context, the paper presents detailed models of the components and controls forming the thermo-mechanical and electric subsystems of a microturbine power plantP. The modeled thermo-mechanical subsystem includes different control loops: a speed controller for primary frequency control (droop control), an acceleration control loop, which limits the rotor acceleration in case of sudden loss of load or in case of start-up, and a controller to limit the temperature of the exhaust gases below the maximum admissible temperature. The modeling of control schemes in the electric subsystem is another key issue of the paper in view of providing efficient energy production from distributed generation: an active power-voltage (PV) control is adopted for the inverter in case of the operation of a microturbine connected to the grid. This control scheme provides an innovative contribution with respect to the usually adopted active power-reactive power (PQ) control scheme. The adoption of the PV control scheme allows to evaluate the contribution of micro-turbines to voltage support in electric distribution grids. In case of isolated operation of the generation source a voltage-frequency (VF) control scheme is proposed. A test grid is set up for model validation and the simulation results are described and discussed.

[1]  Caisheng Wang,et al.  Modeling of Microturbine Power Generation Systems , 2006 .

[2]  A. Morini,et al.  Impact of distributed generation on network security: Effects on loss-of-main protection reliability , 2008, 2008 43rd International Universities Power Engineering Conference.

[3]  G.M. Burt,et al.  A Power-Quality Management Algorithm for Low-Voltage Grids With Distributed Resources , 2008, IEEE Transactions on Power Delivery.

[4]  M.W. Davis Distributed resource electric power systems offer significant advantages over central station generation and T&D power systems. I , 2002, IEEE Power Engineering Society Summer Meeting,.

[5]  Robert H. Lasseter,et al.  Control of distributed resources , 1998 .

[6]  M.W. Davis,et al.  Distributed resource electric power systems offer significant advantages over central station generation and T & D power systems. II , 2002, IEEE Power Engineering Society Summer Meeting,.

[7]  G. Joos,et al.  Customer-Owned Back-Up Generators for Energy Management by Distribution Utilities , 2007, IEEE Transactions on Power Systems.

[8]  R. Caldon,et al.  ANALYSIS OF DYNAMIC PERFORMANCE OF DISPERSED GENERATION CONNECTED THROUGH INVERTER TO DISTRIBUTION NETWORKS , 2003 .

[9]  R.H. Lasseter,et al.  Autonomous control of microgrids , 2006, 2006 IEEE Power Engineering Society General Meeting.

[10]  Kevin Tomsovic,et al.  Development of models for analyzing the load-following performance of microturbines and fuel cells , 2002 .

[11]  Nikos D. Hatziargyriou,et al.  Integrating distributed generation into electric power systems: A review of drivers, challenges and opportunities , 2007 .