TY  - JOUR
AB  - 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.
VL  - 11
IS  - 2
SN  - 1750-6220
DO  - 10.1108/IJESM-04-2016-0003
UR  - https://doi.org/10.1108/IJESM-04-2016-0003
AU  - Radha Janagaraman
AU  - Subramanian Srikrishna
AU  - Ganesan Sivarajan
AU  - Abirami Manoharan
PY  - 2017
Y1  - 2017/01/01
TI  - Emission/fuel energy restricted dynamic optimal power flow using fuzzy - ant lion optimizer
T2  - International Journal of Energy Sector Management
PB  - Emerald Publishing Limited
SP  - 208
EP  - 256
Y2  - 2024/04/19
ER  -