A probabilistic multi-objective daily Volt/Var control at distribution networks including renewable energy sources

A hybrid of ant colony optimization and artificial bee colony algorithm for probabilistic optimal placement and sizing of distributed energy resources

“…This paper uses PEM for solving the problem of optimal sitting and sizing of energy sources. PEM is a stochastic techniques developed by Rosenblueth [25]. This method has been made as approach to approximate a function with little statistical data information and is satisfactorily accurate for a wide range of probabilistic problems.…”

“…With regards to Monte Carlo simulation, it should be noted that a great deal of simulation and computing is required to achieve convergence [24]. An alternative way is through analytical methods; these use mathematical assumptions to simplify the problems such as independency or liner dependency of different random variables [25]. Lastly, the approximate method provides a balance between speed and accurate by an approximate description.…”

Size optimization for hybrid photovoltaic–wind energy system using ant colony optimization for continuous domains based integer programming

“…as objective functions and power's limitations and tap of transformers and etc. as optimization constraints [34], the multi-objective optimization could be performed in next papers. Moreover, the objective function and the decision variables in this paper could be incorporated to the objective functions and the decision variables in future works.…”

The role of basic, modified and hybrid shuffled frog leaping algorithm on optimization problems: a review

“…Also, a new modification is considered by Malekpour and Niknam (2011) to improve the local search ability in SFLA. In the proposed MSFLA, four solutions are chosen randomly among the list of sorted solutions to be changed simultaneity.…”