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In this paper, the parameters of PID controller for Automatic Generation Control (AGC) is tuned according to Generic Algorithms (GAs) based performance indices in the restructured power systems. The key idea of the proposed method is to use the fitness function based on figure of demerit. The simulation results are shown to illustrate effectiveness of the(More)
This paper presents the application of a mixedinteger programming (MIP) approach for solving stochastic security-constrained daily hydrothermal generation scheduling (SCDHGS). Power system uncertainties including generating units and branch contingencies and load uncertainty are explicitly considered in the stochastic programming of SCDHGS. The roulette(More)
In this paper, a multi stage fuzzy Proportional-Integral-Derivative (PID) type controller is proposed to solve the Load Frequency Control (LFC) problem in a restructured power system that operates under deregulation based on the bilateral policy scheme. In each control area, the effects of the possible contracts are treated as a set of new input signal in a(More)
Keywords: Stochastic programming Hydro-thermal self scheduling Price uncertainty Generating unit contingency Multiobjective mathematical programming a b s t r a c t In this paper, a stochastic multiobjective framework is proposed for a day-ahead short-term Hydro Thermal Self-Scheduling (HTSS) problem for joint energy and reserve markets. An efficient linear(More)
This paper presents a nonlinear Artificial Neural Networks (ANN) controller based on µ –synthesis for Automatic Generation Control (AGC) of power systems. Power systems such as other industrial plants have some uncertainties and deviations due to multivariable operating conditions and load changes. For this reason, in the design of ANN controller the idea(More)