Abstract:
Optimal Reactive Power Dispatch (ORPD) problem is a genuine concern for any
power system. It is important to determine the ideal reactive power dispatch for
different kinds of load conditions. ORPD is responsible for reducing the active
power loss in a system by adjusting the reactive power control variables and
consequently influences the economics and net efficiency of the power System.
The optimization of reactive power also ensures the voltage stability and thus
maintains the security and reliability of the system. Slime Mould Algorithm
(SMA) is a novel Metaheuristic Algorithm (MA) which replicates the behaviour
of slime mould for searching and collecting food with the help of the excellent
exploratory capabilities of slime mould. This paper brings forth the feasibility of
the application of SMA to the realm of optimal reactive power flow. In this thesis,
IEEE 30-bus test method is used to show the feasibility of this method. The
findings were analyzed and compared to other approaches that are used for
solving ORPD problems. SMA is a more efficient and robust system even
compared to the most recent swarm intelligence based metaheuristic algorithms
and presents a possibility for unparalleled efficiency
Description:
Supervised by
Dr. Ashik Ahmed
Professor,
Department of Electrical and Electronic Engineering,
Islamic University of Technology (IUT),
Boardbazar, Gazipur-1704
