Design of the PI–UPFC–POD and PSS Damping Controllers Using an Artificial Bee Colony Algorithm

This paper presents two variations of the artificial bee colony (ABC) algorithm, the classical and a modified version, called GBest, for the design of the proportional–integral and supplementary damping controllers: power system stabilizers and the unified power flow controller (UPFC)–power oscillation damping set. The objective is to insert additional damping to the low-frequency oscillation modes present in multimachine electrical power systems, to guarantee the small-signal stability of the system considering different loading conditions. A new current injection formulation for the UPFC is proposed and incorporated into the current sensitivity model used to represent the dynamical operation of the electric power system. Static and dynamical analysis were performed for the New England system to validate the proposed formulation and to evaluate the performance of the optimization algorithms. The results indicate that the modified version of the ABC algorithm has superior performance for this problem, providing robust solutions, that ensure the stability of the system even when small variations of the load are considered.

[1]  Maxwell Martins de Menezes,et al.  Design of PSS and TCSC Damping Controller Using Particle Swarm Optimization , 2016 .

[2]  P. L. So,et al.  A current injection UPFC model for enhancing power system dynamic performance , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[3]  Leonardo H. Macedo,et al.  Analysis of the influence of PSS and IPFC-POD controllers in small-signal stability using a Simulated Annealing algorithm , 2016, 2016 12th IEEE International Conference on Industry Applications (INDUSCON).

[4]  D. B. Valle,et al.  The influence of GUPFC FACTS device on small signal stability of the electrical power systems , 2015 .

[5]  Percival Bueno de Araujo,et al.  Pole placement by coordinated tuning of Power System Stabilizers and FACTS-POD stabilizers , 2011 .

[6]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[7]  Lingling Huang,et al.  A global best artificial bee colony algorithm for global optimization , 2012, J. Comput. Appl. Math..

[8]  Dervis Karaboga,et al.  Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems , 2007, IFSA.

[9]  I. Erlich,et al.  Simultaneous coordinated tuning of PSS and FACTS damping controllers in large power systems , 2005, IEEE Transactions on Power Systems.

[10]  L.C.P. da Silva,et al.  A Generalized Load Flow Method Including the Steady State Characteristic of Dynamic Devices , 2007, 2007 IEEE Lausanne Power Tech.

[11]  Amin Safari,et al.  PSS and TCSC damping controller coordinated design using PSO in multi-machine power system , 2010 .

[12]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[13]  James D. McCalley,et al.  TCSC controller design for damping interarea oscillations , 1998 .

[14]  Dervis Karaboga,et al.  A comparative study of Artificial Bee Colony algorithm , 2009, Appl. Math. Comput..

[15]  Laszlo Gyugyi,et al.  Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems , 1999 .

[16]  G. N. Zhenenko,et al.  Simultaneous optimization of the adjustable parameters in multimachine power systems , 1984 .

[17]  E.V. Larsen,et al.  Applying Power System Stabilizers Part II: Performance Objectives and Tuning Concepts , 1981, IEEE Transactions on Power Apparatus and Systems.

[18]  O. Abedinia,et al.  Robust fuzzy PSS design using ABC , 2011, 2011 10th International Conference on Environment and Electrical Engineering.

[19]  L. Gyugyi,et al.  The unified power flow controller: a new approach to power transmission control , 1995 .

[20]  Mehrdad Ghandhari,et al.  Use of UPFC for optimal power flow control , 1997 .

[21]  Dervis Karaboga,et al.  Artificial bee colony algorithm for large-scale problems and engineering design optimization , 2012, J. Intell. Manuf..

[22]  Leonardo H. Macedo,et al.  Coordinated tuning of the parameters of PI, PSS and POD controllers using a Specialized Chu-Beasley's Genetic Algorithm , 2016 .

[23]  Leonardo H. Macedo,et al.  A VNS algorithm for the design of supplementary damping controllers for small-signal stability analysis , 2018 .

[24]  E. L. Miotto,et al.  Comparison between Artificial Bee Colony and Particle Swarm Optimization algorithms in the tuning of PSS and UPFC-POD controllers , 2016, 2016 12th IEEE International Conference on Industry Applications (INDUSCON).

[25]  Charles Concordia,et al.  Concepts of Synchronous Machine Stability as Affected by Excitation Control , 1969 .

[26]  Mahmoud Moghavvemi,et al.  A Coordinated Design of PSSs and UPFC-based Stabilizer Using Genetic Algorithm , 2014 .

[27]  Percival Bueno de Araujo,et al.  Melhora da estabilidade dinâmica de sistemas elétricos de potência multimáquinas usando o dispositivo facts "thyristor-controlled series capacitor - TCSC" , 2008 .

[28]  P. Kundur,et al.  Power system stability and control , 1994 .

[29]  Dervis Karaboga,et al.  AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .

[30]  Felix F. Wu,et al.  Application of unified power flow controller in interconnected power systems-modeling, interface, control strategy, and case study , 2000 .

[31]  H. H. Happ,et al.  Power System Control and Stability , 1979, IEEE Transactions on Systems, Man, and Cybernetics.