increasing of word demand load caused a new distributed generation (dg) to enter to powersystem. one of the most renewable energy is the photovoltaic system. it is beneficial to use thissystem in both separately as well as connected to power system using power electronics interface.in this paper an optimal pid controller for photovoltaic system systems has been developed. theoptimization techni...

Optimal Reactive Power Dispatch (ORPD) is a multi-variable problem with nonlinear constraints and continuous/discrete decision variables. Due to the stochastic behavior of loads, the ORPD requires a probabilistic mathematical model. In this paper, Monte Carlo Simulation (MCS) is used for modeling of load uncertainties in the ORPD problem. The problem is formulated as a nonlinear constrained mul...

The set covering problem (SCP) is a well-known combinatorial optimization problem. This paper investigates development of a local branching approach for the SCP. This solution strategy is exact in nature, though it is designed to improve the heuristic behavior of the mixed integer programming solver. The algorithm parameters are tuned by design of experiments approach. The proposed method is te...

objectives: behavioral-based safety is a term used to describe the prevention of accidents, injuries and loss in the workplace. an effective behavior-based safety program relies on engaging employees to understand how unsafe behaviors lead to injuries and how to eliminate them from the workplace. this paper examines behavior-based safety program in a massive construction site. methods: for this...

An important problem in nonlinear science is the unknown parameters estimation in Loranz chaotic system. Clearly, the parameter estimation for chaotic systems is a multidimensional continuous optimization problem, where the optimization goal is to minimize mean squared errors (MSEs) between real and estimated responses for a number of given samples. The Bees algorithm (BA) is a new member of me...