VEPSO method with fuzzy-PID controller for Nonlinear Time-Variant Hydro-Turbine Governing Systems

In this paper, the parameters of fuzzy-PID controller are tuned by multi objective Vector Evaluated Particle Swarm Optimization (VEPSO). The key idea of the proposed method is to use a new design fuzzy-PID controller of Hydroturbine governing. The results of simulation are shown to illustrate effectiveness of the proposed method and VEPSO algorithm to solve hydro-turbine governing problem under different load condition. The achieved result of VEPSO algorithm is compared with Conventional Evolutionary Programming (CEP), Fast Evolutionary Programming (FEP), MFEP and Deterministic Chaotic Mutation Evolutionary Programming (DCMEP) algorithms. Also, the results confirm the potential and effectiveness of VEPSO compared to the traditional multi objective optimization techniques. One of the main advantages of the proposed approach is its robustness to the initial parameter settings. In addition, the quality of the optimal solution does not rely on the initial guess.

Keywords:

Hydro-turbine governing , nonlinear system , VEPSO method , Fuzzy controller