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Application of Directional Bat Algorithm to Economic Load Dispatch Problems with Various Practical Constraints
Mallikarjuna Bestha1, Y. V. Siva Reddy2, R. Kiranmayi3
1Mallikarjuna Bestha, Research Scholar, Department of EEE, JNTUA, Ananthapuramu (Andhra Pradesh), India.
2Y.V. Siva Reddy, Professor, Department of EEE, GPREC, Kurnool (Andhra Pradesh), India.
3R.Kiranmayi, Professor and HOD, Department of EEE, JNTUA, Ananthapuramu (Andhra Pradesh), India.
Manuscript received on 13 December 2018 | Revised Manuscript received on 22 December 2018 | Manuscript Published on 30 December 2018 | PP: 492-497 | Volume-8 Issue-2S, December 2018 | Retrieval Number: 100.1/ijeat.B11021282S18/18©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This publication discusses the Directional Bat Algorithm (DBA)and has suggested getting the better results for Economic and Emission Dispatch (EED issues. The preliminary aim of the EED is to diminish both emission and its allied installation expenses while satiating the system constraints. Standard Bat algorithm (SBA) based on echolocation behaviour of microbats, has been used in the past to investigate the local/global finest solution. But SBA has less exploration ability, so premature convergence can occur. To avoid this drawback, an investigative approach based on the capability of directional echolocation characteristics of micro-bats is introduced to the SBA for improve its exploration and exploitation capabilities. The DBA has been executed on different test cases. To show the effectiveness of DBA, it is in turn linked with various techniques that has been discussed in the literatures published earlier. The outcome also show that the DBA is more efficient.
Keywords: Economic Dispatch, Emission Dispatch, Transmission Losses, Prohibited Operating Zones, Mathematical Modeling, Bat Algorithm And Directional Bat Algorithm.
Scope of the Article: Algorithm Engineering