An Improved Search Exploration and Sensibility Based Artificial Bee Colony (ISESABC) Optimization Approach to Solve Combined Economic and Emission Dispatch Problem

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The issue of adapting the best solution to handle the varying demand for electricity is one of the active areas of research in power system domain. Combined Economic Emission Dispatch (CEED) problem has become a vital issue as it focuses on both the economy and emission objectives with necessary constraints. The stability of the power system is also considered as an important factor in the performance of the power system. Optimization Techniques can be utilized to deal with the CEED as it provides optimal solution for the required parameters. A majority of the optimization techniques are slow for such complex optimization tasks and are not suitable for on-line use.
This paper presents an effective optimization algorithm, for solving security constrained CEED problem. Also, the power system stability plays an important role in power system. Voltage stability is focused in this approach which has an impact on the performance of the entire power system. In this paper, an efficient optimization technique called Improved Search Exploration and Sensibility based Artificial Bee Colony (ISESABC) Optimization is used to solve the CEED problem. The performance of the proposed approach is compared with the other optimization techniques. The experimental result shows that the proposed system results in better solution for CEED problem with the maintenance of system stability.

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Economic Dispatch; Emission Dispatch; Artificial Bee Colony Optimization; Stability

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