Wind farms are enormous and complex control systems. It is challenging and valuable to
control and optimize wind farms. Their applications are widely used in various industries …

Over the last few decades, bio-inspired (BI) evolutionary optimization techniques have
experienced overwhelming popularity, extraordinary growth and large number of …

This paper formulates and solves a probabilistic optimal power flow approach (POPF) for a
hybrid power system that includes plug-in electric vehicles (PEV), photovoltaic (PV) and …

The dynamic economic emission dispatch (DEED) of electric power generation is a multi-
objective mathematical optimization problem with two objective functions. The first objective …

To maintain security and reliability of wind integrated power grid, additional spinning reserve
is required to meet the demand under changing loads and unpredictable wind power …

This paper focuses primarily on implementation of optimal power flow (OPF) problem
considering wind power. The stochastic nature of wind speed is modeled using two …

Reliable and inexpensive electricity provision is one of the significant research objectives
since decades. Various Economic Dispatch (ED) methods have been developed in order to …

This manuscript applied fractal firefly optimization technique to the integrated load dispatch
(ILD) problem involving loads allocation to power generating units with the minimum total …

In recent years, numerous studies have been conducted regarding the modeling of
contact/impact events between smooth contacting surfaces, ie spheres and cylinders …

This paper proposes a new, efficient and powerful heuristic-hybrid algorithm using hybrid
DE (differential evolution) and PSO (particle swarm optimization) techniques DEPSO …