Heidar Ali Shayanfar

Learn More
With the development of distributed generation resources and the increase of energy generation technologies, the operation of power systems faced with new complexities. Due to the development of smart grids and the use of renewable energy resources, a suitable method for the optimal use of these resources is of great importance. International organizations(More)
Ant colony optimization (ACO) which is inspired by the natural behavior of ants in finding the shortest path to food is appropriate for solving the combinatorial optimization problems. Therefore, it is used to solve the unit commitment problem (UCP) and attain the minimum cost for scheduling thermal units in order to produce the demand load. In this paper(More)
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)
— This paper introduces an optimal placement and tuning of robust multi-machine Power System Stabilizer (PSS) using Honey Bee Mating Optimization (HBMO). This problem is formulated as an optimization problem, which is solved using HBMO technique. Hence the proposed approach employs HBMO to search for optimal location and parameters settings of a widely used(More)