Economic Load Dispatch by Improved Drone Optimization Technique
Manish Kashyap1, Achala Jain2, Vinita Swarnakar3
1Manish Kashyap, Department of Electrical & Electronics Engineering, Shri Shankaracharya Technical Campus, Bhilai (Chhattisgarh), India.
2Dr. Achala Jain, Department of Electrical & Electronics Engineering, Shri Shankaracharya Technical Campus, Bhilai (Chhattisgarh), India.
3Vinita Swarnakar, Department of Electrical & Electronics Engineering, Shri Shankaracharya Technical Campus, Bhilai (Chhattisgarh), India.
Manuscript received on 30 June 2022 | Revised Manuscript received on 05 July 2022 | Manuscript Accepted on 15 July 2022 | Manuscript published on 30 July 2022 | PP: 149-152 | Volume-11 Issue-2, July 2022 | Retrieval Number: 100.1/ijrte.B71800711222 | DOI: 10.35940/ijrte.B7180.0711222
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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: In this paper, the ELD problem is resolved via ABC (Artificial BEE Colony) technique. The major goal of this study is to use the IDO method to present very efficient & reliable approach for solving ED problem in Power system. The suggested approach is used to solve a variety of non-convex ED issues, including banned operating zones with ramp rate constraints. This problem is described as an optimization of the objective function and minimization of the overall operating cost while gratifying all allied constraints, accompanied by the lowest down & up time limitations, startup cost, and spinning reserve. A six generators scheduling problem is discussed, along with its formulation, representation, and simulation result.
Keywords: Artificial BEE Colony (ABC), Improved Drone Optimization (IDO), Economic Load Dispatch/ Economic Dispatch (ED), Unit Commitment (UC), Artificial Intelligence (AI).
Scope of the Article: Artificial Intelligence