Congestion Relief of Contingent Power Network with Evolutionary Optimization Algorithm
Abstract: This paper presents
a differential evolution optimization technique based methodology for
congestion management cost optimization of contingent power networks. In
Deregulated systems, line congestion apart from causing stability problems can
increase the cost of electricity. Restraining line flow to a particular level
of congestion is quite imperative from stability as well as economy point of
view. Employing ‘Congestion Sensitivity Index’ proposed in this paper, the
algorithm proposed can be adopted for selecting the congested lines in a power
networks and then to search for a congestion constrained optimal generation
schedule at the cost of a minimum ‘congestion management charge’ without any
load curtailment and installation of FACTS devices. It has been depicted that
the methodology on application can provide better operating conditions in terms
of improvement of bus voltage and loss profile of the system. The efficiency of
the proposed methodology has been tested on an IEEE 30 bus benchmark system and
the results look promising.
Keywords: congestion
sensitivity index, contingent power networks, optimization, diffrential
evolution, rescheduling
Author: Sandip Chanda,
Abhinandan De Abhinandan De
Journal Code: jptkomputergg120019