A New Bat Optimization Algorithm to Solve EPD Problem Solving with Transmission Loss

Yıl 2020, , 67 - 72, 31.01.2020

Cevat Rahebi , Mohammed Al-jumaili

https://doi.org/10.17694/bajece.646870

Öz

The economic power dispatch (EPD) is an integral
part of the power system, and the major roles and purpose of its use are for
achieving a reliable and efficient operation out of power system generation
networks, and this operation should be obtained by minimizing the generator
fuel cost. Getting optimal solutions to EPD problem requires efficient
optimization algorithms. Novel Bat Algorithm (NBA) is one of the most recent
methods and it has already proven its efficiency and reliability for solving
the EPD problem. This paper proposes Novel Bat Algorithm (NBA) in order to
solve the EPD problem based on the large scale power system. The NBA has proved
its efficiency and it gave a perfect performance for small-scale systems
compared with the original Bat algorithm (BA), because of considering the
Doppler Effect and assumed that bat can move between various habitats. The
study of the EPD for large-scale power systems is more important than study it
for small ones, because all power systems in countries are considered large
networks. This is why all modern studies focus on the study of EPD for large
systems. To test the performance of NBA during small and large scale power
system, we have applied it to many systems, including 3-thermal units,
6-thermal units, 31-Iraqi thermal units and IEEE 40-thermal units respectively,
with transmission losses and generator limits, and we have made a comparison of
the obtained results of NBA with other optimization methods. The Iraqi thermal
units have been utilized as a new data.

Anahtar Kelimeler

Novel Bat Algorithm (NBA), Economic Power Dispatch

Kaynakça

• [1] F. Abu-Mouti and M. El-Hawary, "Novel constrained search-tactic for optimal dynamic economic dispatch using modern meta-heuristic optimization algorithms," in Electrical Power and Energy Conference (EPEC), 2011 IEEE, 2011, pp. 170-175.
• [2] P. Sujatha and K. Anjaneyulu, "A novel approach for security constrained unit commitment using bat computation," in Advance Computing Conference (IACC), 2015 IEEE International, 2015, pp. 623-628.
• [3] S. Gautham and J. Rajamohan, "Economic Load Dispatch using Novel Bat Algorithm," in Power Electronics, Intelligent Control and Energy Systems (ICPEICES), IEEE International Conference on, 2016, pp. 1-4.