Optimal
reconfiguration and capacitor placement are used to reduce power losses
and keep the voltage within its allowable interval in power
distribution systems considering voltage, current, and radial condition
constraints. Effective utilization of power distribution networks
requires extensive studies in such areas as using capacitors, voltage
regulators, network reconfiguration, and so on. Indeed, achieving
accurate answers, and managing appropriate solutions for network
problems requires detailed modeling of the network in the process of the
above studies. Among the elements that are important for modeling
in-network, research is network loads. Loads are generally being modeled
such as constant power. While load nature is often widespread and
different. Failure to have detailed modeling can lead to non-optimal and
even wrong answers and will result in the waste of costs and
investments. Since the load flow is the
basis of any research in distribution networks, in this design, an
effective method is presented for estimating the optimal amount of load
to be shed in a distribution system based on the Dolphin algorithm. The
effectiveness of the proposed Dolphin algorithm has been tested on two
different distribution network systems i.e 16 and 33-bus IEEE test
systems using the Newton Raphson method, to find the optimum
configuration of the network with regard to power losses. Five different
cases are considered as mentioned below, and the effectiveness of the
proposed technique is demonstrated with Normal load, Constant Impedance
load, Constant Current load, and ZIP load models, through MATLAB
software simulation as shown in the video demo.
Author’s Name: K. Lenina, Dr. B. Ravindranath Reddy and, Dr. M. Surya KalavathicSource: International Journal of ComputerYear:2014Reference Paper-3: Reconfiguration and optimal capacitor placement for losses reductionAuthor’s Name: Diana P. Montoya and Juan M. RamirezSource: IEEEYear:2012Request source code for academic purpose, fill REQUEST FORM or contact +91 7904568456 by whatsapp or sales@verilogcourseteam.com, fee applicable.
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