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Emission/fuel energy restricted dynamic optimal power flow using fuzzy - ant lion optimizer

Janagaraman Radha (Department of Electrical Engineering, Annamalai University, Chidambaram, India)
Srikrishna Subramanian (Department of Electrical Engineering, Annamalai University, Chidambaram, India)
Sivarajan Ganesan (Department of Electrical Engineering, Annamalai University, Chidambaram, India)
Manoharan Abirami (Department of Electrical Engineering, Annamalai University, Chidambaram, India)

International Journal of Energy Sector Management

ISSN: 1750-6220

Article publication date: 5 June 2017

Abstract

Purpose

This study aims to minimize operating cost, adhere to pollution norms and maintain reserve and voltage levels subject to various operational concerns, including non linear characteristics of generators and fuel limitation issues, which are useful for the current power system applications.

Design/methodology/approach

Improved control settings are required while considering multiple conflicting operational objectives that necessitate using the modern bio-inspired algorithm ant lion optimizer (ALO) as the main optimization tool. Fuzzy decision-making mechanism is incorporated in ALO to extract the best compromise solution (BCS) among set of non-dominated solutions.

Findings

The BCS records of IEEE-30 bus and JEAS-118 bus systems are updated in this work. Numerical simulation results comparison and comprehensive performance analysis justify the applicability of the intended algorithm to solve multi-objective dynamic optimal power flow (DOPF) problem over the state-of-art methods.

Originality/value

Optimal control settings are obtained for IEEE-30 and JEAS-118 bus systems with the objectives of minimizing fuel cost and emission in dynamic environment considering take-or-pay fuel contract issue. The fuzzy supported ALO (FSALO) is applied first time to solve the DOPF problem.

Keywords

Acknowledgements

The authors gratefully acknowledge the authorities of Annamalai University, Annamalainagar, Tamilnadu, India, for their continued support, encouragement and the extensive facilities provided to carry out this research work.

Citation

Radha, J., Subramanian, S., Ganesan, S. and Abirami, M. (2017), "Emission/fuel energy restricted dynamic optimal power flow using fuzzy - ant lion optimizer", International Journal of Energy Sector Management, Vol. 11 No. 2, pp. 208-256. https://doi.org/10.1108/IJESM-04-2016-0003

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited