Adaptive Fuzzy Type-2 Synergetic Control Based on Bat Optimization for Multi-Machine Power System Stabilizers
A new, adaptive, fuzzy type-2 fast terminal, synergetic multi-machine power system stabilizer is proposed in this study, based on the Bat algorithm. The time spent to reach the equilibrium point, from any initial state, is guaranteed to be finite. The adaptive fuzzy type-2 design is applied to estimate the unknown functions of a multi-machine power system. The parameters of the fast terminal synergetic control are optimized, using bat metaheuristic method. In order to test the robustness of the proposed stabilizer, three load conditions, of the multi-machine power system are studied. A comparison of the proposed adaptive fuzzy type-2 synergetic power system stabilizer with bat conventional approach is presented, indicating improved performance. The control system stability is assessed by the second theorem of Lyapunov and is proven to be asymptotically stable.
F. P. Demello, “Concepts of synchronous machine stability as affected by excitation control”, IEEE Transactions on Power Appparatus and Systems, Vol. 88, No. 4, pp. 316-329, 1969
K. Tang, G. K. Venayagamoorthy, “Damping inter-area oscillations using virtual generator based power system stabilizer”, Electric Power Systems Research, Vol. 129, pp. 126–141, 2015
E. V. Larsen, D. A. Swann, “Applying power system stabilizers part II: Performance objectives and tuning concepts”, IEEE Transactions on Power Apparatus and Systems, Vol. 100, No. 6, pp. 3025–3033, 1981
P. Kundur, N. J. Balu, M. G. Lauby, Power System Stability and Control, McGraw-Hill, 1994
P. M. Anderson, A. A. Fouad, H. Happ, Power System Control and Stability, IEEE, 1979
A. Ghosh, G. Ledwich, O. P. Malik, G. S. Hope, “Power system stabilizer based on adaptive control techniques”, IEEE Transactions on Power Apparatus and Systems, Vol. 103, No. 8, pp. 1983–1989, 1984
S. J. Cheng, Y. S. Chow, O. P. Malik, G. S. Hope, “An adaptive synchronous machine stabilizer”, IEEE Transactions on Power Systems, Vol. 1, No. 3, pp. 101–107, 1986
H. M. Soliman, H. A. Yousef, “Saturated robust power system stabilizers”, International Journal of Electrical Power & Energy Systems, Vol. 73, pp. 608–614, 2015
A. Y. Sivaramakrishnan, M. V. Hariharan, M. C. Srisailam, “Design of variable-structure load-frequency controller using pole assignment technique”, International Journal of Control, Vol. 40, No. 3, pp. 487–498, 1984
M. L. Kothari, J. Nanda, K. Bhattacharya, “Design of variable structure power system stabilisers with desired eigenvalues in the sliding mode”, IEE Proceedings C-Generation, Transmission and Distribution, Vol. 140, No. 4, pp. 263–268, 1993
K. Bhattacharya, M. L. Kothari, J. Nanda, “Design of discrete-mode variable structure power system stabilizers”, International Journal of Electrical Power & Energy Systems, Vol. 17, No. 6, pp. 399–406, 1995
J. Talaq, “Optimal power system stabilizers for multi machine systems”, International Journal of Electrical Power & Energy Systems, Vol. 43, No. 1, pp. 793–803, 2012
F. M. Adjeroud, F. Djahli, A. Mayouf, T. Devers, “A coordinated genetic based type-2 fuzzy stabilizer for conventional and superconducting generators”, Electric Power Systems Research, Vol. 129, pp. 51–61, 2015
M. S. Mahmoud, H. M. Soliman, “Design of robust power system stabilizer based on particle swarm optimization”, Circuits and Systems, Vol. 3, No. 1, pp. 82-89, 2012
A. S. Oshaba, E. S. Ali, S. A. Elazim, “MPPT control design of PV system supplied SRM using BAT search algorithm”, Sustainable Energy, Grids and Networks, Vol. 2, pp. 51–60, 2015
A. H. Gandomi, X. S. Yang, “Chaotic bat algorithm”, Journal of Computational Science, Vol. 5, No. 2, pp. 224–232, 2014
M. R. Sathya, M. M. T. Ansari, “Load frequency control using bat inspired algorithm based dual mode gain scheduling of PI controllers for interconnected power system”, International Journal of Electrical Power & Energy Systems, Vol. 64, pp. 365–374, 2015
D. K. Sambariya, R. Prasad, “Robust tuning of power system stabilizer for small signal stability enhancement using metaheuristic bat algorithm”, International Journal of Electrical Power & Energy Systems, Vol. 61, pp. 229–238, 2014
E. S. Ali, “Optimization of power system stabilizers using BAT search algorithm”, International Journal of Electrical Power & Energy Systems, Vol. 61, pp. 683–690, 2014
A. Kolesnikov, G. Veselov, and A. Kolesnikov, “Modern applied control theory: synergetic approach in control theory,” TRTU, Moscow, Taganrog, Russia, pp. 4477–4479, 2000
A. Kolesnikov, G. Veselov, A. Monti, F. Ponci, E. Santi, R. Dougal, “Synergetic synthesis of DC-DC boost converter controllers: τheory and experimental analysis”, Seventeenth Annual IEEE Applied Power Electronics Conference and Exposition, Dallas, USA, March 10-14, 2002
Z. Jiang, “Design of a nonlinear power system stabilizer using synergetic control theory”, Electric Power Systems Research, Vol. 79, No. 6, pp. 855–862, 2009
X. S. Yang, “A new metaheuristic bat-inspired algorithm”, Nature Inspired Cooperative Strategies for Optimization, pp. 65–74, 2010
X. S. Yang, X. He, “Bat algorithm: literature review and applications”, International Journal of Bio-Inspired Computation, Vol. 5, No. 3, pp. 141–149, 2013
E. Nechadi, M. N. Harmas, A. Hamzaoui, N. Essounbouli, “Type-2 fuzzy based adaptive synergetic power system control”, Electric Power Systems Research, Vol. 88, pp. 9–15, 2012
MetricsAbstract Views: 162
PDF Downloads: 128
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.