Estratégias de Controle para Sintonização Ótima de PSS Utilizando Crow Search Algorithm
Resumo
Este trabalho aplica três diferentes estratégias para sintonizar os parâmetros Power System Stabilizer (PSS) em sistemas elétricos multimáquina. A diferença entre as três estratégias fundamenta-se no número de variáveis de decisão utilizadas no processo de otimização, enquanto que a função objetivo almeja maximizar o amortecimento mínimo do sistema elétrico considerando vários pontos de operação. A técnica de otimização empregada é a metaheurística denominada de CSA (Crow Search Algorithm). O CSA é uma recente metaheurística que é baseada no comportamento inteligente dos corvos. Os resultados e discussões são obtidos com o emprego de um sistema elétrico de 5 geradores e 7 barras.
Referências
Abido, M. A. (2002). Optimal Design of Power System Stabilizers Using Particle Swarm Optimization. IEEE Transactions on Energy Conversion, vol. 17, no. 3, pp. 406-413.
Ali, E. S. (2014). Optimization of Power System Stabilizers Using BAT Search Algorithm. Electrical Power and Energy Systems, vol. 61, pp. 683-690.
Askarzadeh, A. (2016). A Metaheuristic Method for Solving Constrained Engineering Optimization Problems: Crow Search Algorithm. Computers & Structures, vol. 169, pp. 1-12.
Bomfim, A. L. B.; Taranto, G. N. and Falcão, D. M. (2000). Simultaneous Tuning of Power System Damping Controllers Using Genetic Algorithms. IEEE Transactions on Power System, vol. 15, no. 1, pp. 163-169.
Boukarim, G. E., et al. (2000). A Comparison of Classical, Robust and Decentralized Control Designs for Multiple Power System Stabilizers. IEEE Transactions on Power Systems, vol. 15, no. 5, pp. 1287-1292.
Hussien, A. G., et al (2020). Crow Search Algorithm: Theory, Recent Advances, and Applications. IEEE Access, vol. 8, pp. 173548-173565.
Kundur, P. (1994). Power System Stability and Control. McGraw-Hill.
Martins, N. and Lima, L. T. G. (1989). Eigenvalue and Frequency Domain Analysis of Small-Signal Electromechanical Stability Problems. IEEE Special Publication on Eigenanalysis and Frequency Domain Methods for System Dynamic Performance, pp. 17-33.
PacDynSmall Stability Analysis and Control V. 9.3.4. (2011). CEPEL, Centro de Pesquisas de Energia Elétrica. Rio de Janeiro, User's Manual.
Peres, W., Oliveira, E. J., Passo Filho, J. A. and Silva Junior, I. C. (2015). Coordinated Tuning of Power System Stabilizers Using Bio-Inspired Algorithms. Eletrical Power and Energy Systems, vol. 64, pp. 419-428.
Rabih, A. J.; Pal, B. C. and Martins, N. (2010). A Sequential Conic Programming Approach for the Coordinated and Robust Design of Power System Stabilizers. IEEE Transaction on Power Systems, vol. 25, no. 3, pp. 1627-1637.
Rogers, G (2000). Power System Oscillations. Kluwer Academic Publisher.
Simfukwe, D. D., Pal, B. C., Jabr, R. A. and Martins, N. (2011). Robust and Low-Order Design of Flexible AC Transmission Systems and Power System Stabilisers for Oscillation Damping. IET Generation, Transmission & Distribution, vol. 6, no. 5, pp. 445-452.
Singh, M., Patel, R. N., Neema, and D. D. (2019). Robust Tuning of Excitation Controller for Stability Enhancement Using Multi-objective Metaheuristic Firefly Algorithm. Swarm and Evolutionary Computation, vol. 44, pp. 136-147.
Wang, S. K. A Novel Objective Function and Algorithm for Optimal PSS Parameter Design in a Multi-Machine Power System. IEEE Transactions on Power Systems, vol. 28, no. 1, pp. 522-531.
Ali, E. S. (2014). Optimization of Power System Stabilizers Using BAT Search Algorithm. Electrical Power and Energy Systems, vol. 61, pp. 683-690.
Askarzadeh, A. (2016). A Metaheuristic Method for Solving Constrained Engineering Optimization Problems: Crow Search Algorithm. Computers & Structures, vol. 169, pp. 1-12.
Bomfim, A. L. B.; Taranto, G. N. and Falcão, D. M. (2000). Simultaneous Tuning of Power System Damping Controllers Using Genetic Algorithms. IEEE Transactions on Power System, vol. 15, no. 1, pp. 163-169.
Boukarim, G. E., et al. (2000). A Comparison of Classical, Robust and Decentralized Control Designs for Multiple Power System Stabilizers. IEEE Transactions on Power Systems, vol. 15, no. 5, pp. 1287-1292.
Hussien, A. G., et al (2020). Crow Search Algorithm: Theory, Recent Advances, and Applications. IEEE Access, vol. 8, pp. 173548-173565.
Kundur, P. (1994). Power System Stability and Control. McGraw-Hill.
Martins, N. and Lima, L. T. G. (1989). Eigenvalue and Frequency Domain Analysis of Small-Signal Electromechanical Stability Problems. IEEE Special Publication on Eigenanalysis and Frequency Domain Methods for System Dynamic Performance, pp. 17-33.
PacDynSmall Stability Analysis and Control V. 9.3.4. (2011). CEPEL, Centro de Pesquisas de Energia Elétrica. Rio de Janeiro, User's Manual.
Peres, W., Oliveira, E. J., Passo Filho, J. A. and Silva Junior, I. C. (2015). Coordinated Tuning of Power System Stabilizers Using Bio-Inspired Algorithms. Eletrical Power and Energy Systems, vol. 64, pp. 419-428.
Rabih, A. J.; Pal, B. C. and Martins, N. (2010). A Sequential Conic Programming Approach for the Coordinated and Robust Design of Power System Stabilizers. IEEE Transaction on Power Systems, vol. 25, no. 3, pp. 1627-1637.
Rogers, G (2000). Power System Oscillations. Kluwer Academic Publisher.
Simfukwe, D. D., Pal, B. C., Jabr, R. A. and Martins, N. (2011). Robust and Low-Order Design of Flexible AC Transmission Systems and Power System Stabilisers for Oscillation Damping. IET Generation, Transmission & Distribution, vol. 6, no. 5, pp. 445-452.
Singh, M., Patel, R. N., Neema, and D. D. (2019). Robust Tuning of Excitation Controller for Stability Enhancement Using Multi-objective Metaheuristic Firefly Algorithm. Swarm and Evolutionary Computation, vol. 44, pp. 136-147.
Wang, S. K. A Novel Objective Function and Algorithm for Optimal PSS Parameter Design in a Multi-Machine Power System. IEEE Transactions on Power Systems, vol. 28, no. 1, pp. 522-531.
Publicado
28/09/2022
Como Citar
COSTA FILHO, Raimundo N. D.; PEREIRA, Éder D. C..
Estratégias de Controle para Sintonização Ótima de PSS Utilizando Crow Search Algorithm. In: ESCOLA REGIONAL DE COMPUTAÇÃO DO CEARÁ, MARANHÃO E PIAUÍ (ERCEMAPI), 10. , 2022, São Luís.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 79-88.
DOI: https://doi.org/10.5753/ercemapi.2022.225959.
