Multi-objective Optimal Power Flow and Emission Index Based Firefly Algorithm
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Date
2023-10-21
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Periodica Polytechnica Electrical Engineering and Computer Science
Abstract
The economic operation of electric energy generating systems is one of predominant problems in energy systems. In this work one
evolutionary optimization method, based on the meta-inference behavior called the Firefly Algorithm (FFA) is applied to solve such as the
multipurpose optimum power flow (OPF) and emission index (EI) problems. Our main goal is to improve the objective function necessary
to achieve the best balance between production and its energy consumption, which is presented as a non-linear function, taking into
account some constraints of equality and inequality. The goal is to reduce the total cost of generations, active losses, and emission index.
The FFA approach was examined and tested on a standard IEEE-30 bus system. The validations of obtained results were compared
with some well-known and recently published references. The efficiency and credibility of the proposed method has been proven
by the obtained results.