Power oscillations damping using wide-area-based solar plant considering adaptive time-delay compensation

The aim of this paper is to investigate the use of the ever increasing penetration of renewable energy into the power grid to solve challenging problems such as inter area power oscillations without the use of expensive power electronic devices and power system stabilizers. The increase in size of interconnected power systems, energy demand, and installation of remote renewable energies with relatively weak tie-lines has witnessed different stability problems such as low-frequency inter-area oscillations. Inter-area oscillation reduces system stability and transmission capacity. Without effective damping control mechanism, these oscillations could prolong and threaten the security of the system. This paper proposes a supplementary controller from a photovoltaic (PV) solar plant for damping inter-area oscillations. Due to its strong correlation to active power flow and monitoring system stress, area phase-angle difference is employed for the remote signal input of the controller. The signal can be obtained from phasor measurement unit (PMU) through wide-area measurements systems (WAMS). To deal with a wide range of variable delay in the signal input, an adaptive compensator is designed to reduce the impact of the communication latency using neuro-fuzzy inference system. A two-area four-machine test system is used and simulated with a Simulink-based package developed for the work of this study. The time-domain simulations, modal and frequency response analysis demonstrate the capability of the proposed controller to effectively damp inter-area oscillations, under a small- and large-scale disturbances and against a wide range of time delays.

[1]  Ramesh C. Bansal,et al.  Oscillatory stability analysis with high penetrations of large-scale photovoltaic generation , 2013 .

[2]  Yilu Liu,et al.  Impact of High PV Penetration on the Inter-Area Oscillations in the U.S. Eastern Interconnection , 2017, IEEE Access.

[3]  P. Kundur,et al.  Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions , 2004, IEEE Transactions on Power Systems.

[4]  J.R. McDonald,et al.  The Effective Role of AVR and PSS in Power Systems: Frequency Response Analysis , 2007, IEEE Transactions on Power Systems.

[5]  Ivan Glesk,et al.  Comparison of adaptive neuro-fuzzy inference system (ANFIS) and Gaussian processes for machine learning (GPML) algorithms for the prediction of skin temperature in lower limb prostheses. , 2016, Medical engineering & physics.

[6]  N. Mithulananthan,et al.  Large-Scale PV Plant With a Robust Controller Considering Power Oscillation Damping , 2013, IEEE Transactions on Energy Conversion.

[7]  Kemal Maulana Alhasa,et al.  Modeling of Tropospheric Delays Using ANFIS , 2015 .

[8]  Nilanjan Ray Chaudhuri,et al.  A New Approach to Continuous Latency Compensation With Adaptive Phasor Power Oscillation Damping Controller (POD) , 2010, IEEE Transactions on Power Systems.

[9]  Bin Li,et al.  Damping Inter-Area Oscillations With Large-Scale PV Plant by Modified Multiple-Model Adaptive Control Strategy , 2017, IEEE Transactions on Sustainable Energy.

[10]  R. Majumder,et al.  Design and real-time implementation of robust FACTS controller for damping inter-area oscillation , 2006, IEEE Transactions on Power Systems.

[11]  Atena Darvishi,et al.  Threshold-Based Monitoring of Multiple Outages With PMU Measurements of Area Angle , 2016, IEEE Transactions on Power Systems.

[12]  Mats Larsson,et al.  POWER SYSTEM STABILIZER WITH SYNCHRONIZED PHASOR MEASUREMENTS , 2011 .

[13]  Ghadir Radman,et al.  Wide-Area-Based Adaptive Neuro-Fuzzy SVC Controller for Damping Interarea Oscillations , 2018, Canadian Journal of Electrical and Computer Engineering.

[14]  Sara Eftekharnejad,et al.  Small Signal Stability Assessment of Power Systems With Increased Penetration of Photovoltaic Generation: A Case Study , 2013, IEEE Transactions on Sustainable Energy.

[15]  B. Chaudhuri,et al.  Robust damping of multiple swing modes employing global stabilizing signals with a TCSC , 2004, IEEE Transactions on Power Systems.

[16]  Ramesh C. Bansal,et al.  A review of key power system stability challenges for large-scale PV integration , 2015 .

[17]  Xiaohui Li,et al.  PMU-Based Wide Area Damping Control of Power Systems , 2008, 2008 Joint International Conference on Power System Technology and IEEE Power India Conference.

[18]  Fang Liu,et al.  Interconnected Power Systems , 2016 .

[19]  Innocent Kamwa,et al.  Wide-area measurement based stabilizing control of large power systems-a decentralized/hierarchical approach , 2001 .

[20]  Ghadir Radman,et al.  Simulink-Based Program for Simulating Multi- Machine Power Systems , 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).

[21]  B. Pal,et al.  Robust Control in Power Systems , 2005 .

[22]  Rajat Majumder,et al.  A probabilistic approach to model-based adaptive control for damping of interarea oscillations , 2005 .

[23]  R D Zimmerman,et al.  MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education , 2011, IEEE Transactions on Power Systems.

[24]  Haibo He,et al.  Adaptive wide-area power oscillation damper design for photovoltaic plant considering delay compensation , 2017, Monitoring and Control using Synchrophasors in Power Systems with Renewables.

[25]  Arun G. Phadke,et al.  Synchronized Phasor Measurements and Their Applications , 2008 .

[26]  I. C. Decker,et al.  Wide-Area Measurements-Based Two-Level Control Design Considering Signal Transmission Delay , 2009, IEEE Transactions on Power Systems.

[27]  K. Uhlen,et al.  Coordinating power oscillation damping control using wide area measurements , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.