Open AccessCongestion reduction under IPFC based deregulated electricity market using AKH algorithm
Author(s) -
Niharika Thakur,
Yogendra Kumar Awasthi,
Anwar Shahzad Siddiqui,
Manisha Hooda
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1478/1/012027
Subject(s) - mathematical optimization , electricity market , reduction (mathematics) , electric power system , computer science , electricity , engineering , power (physics) , mathematics , electrical engineering , physics , geometry , quantum mechanics
With the Deregulation in the electric utilities across the globe there have been major issues faced viz., transmission losses, cost of generation and emission, voltage stability limits and congestion cost that have to be considered for reducing the congestion in the lines and consequently in power systems under the restructured framework. For achieving the said objective, this paper presents the Adaptive Krill Herd (AKH) algorithm-based model in which a support value is determined for optimization of the given objective functions. The FACTS device used is IPFC for reducing the congestion in the identified lines optimally by determining the parameters “Congestion Detection Index and Index of Total Congestion Cost”. The projected AKH optimizer model is compared with the conventional models viz PSO, GA, ABC algorithm based on IEEE 30 and 57 bus systems.