2024 : 4 : 24
Aliasghar Ghadimi

Aliasghar Ghadimi

Academic rank: Associate Professor
ORCID: https://orcid.org/0000-0001-7276-2221
Education: PhD.
ScopusId: 56678490500
Faculty: Engineering
Address: Arak University
Phone: 08632625620


Optimal Power Flow Incorporating FACTS Devices and Stochastic Wind Power Generation Using Krill-Herd Algorithm
flexible AC transmission systems (FACTS) devices, krill herd algorithm (KHA), optimal power flow (OPF), stochastic wind power generation
Journal Electronics
Researchers Arsalan Abdolahi ، Aliasghar Ghadimi ، Mohammad Reza Miveh ، Fazel Mohammadi ، Francisco Jurado


This paper deals with investigating the Optimal Power Flow (OPF) solution of power systems considering Flexible AC Transmission Systems (FACTS) devices and wind power generation under uncertainty. The Krill Herd Algorithm (KHA), as a new meta-heuristic approach, is employed to cope with the OPF problem of power systems, incorporating FACTS devices and stochastic wind power generation. The wind power uncertainty is included in the optimization problem usingWeibull probability density function modeling to determine the optimal values of decision variables. Various objective functions, including minimization of fuel cost, active power losses across transmission lines, emission, and Combined Economic and Environmental Costs (CEEC), are separately formulated to solve the OPF considering FACTS devices and stochastic wind power generation. The e ectiveness of the KHA approach is investigated on modified IEEE-30 bus and IEEE-57 bus test systems and compared with other conventional methods available in the literature.