Publication: Performance Evaluation of HEBMO for Non-convex Economic Dispatch Problems Under Contingencies
No Thumbnail Available
Date
2022
Authors
Ismail N.L.
Musirin I.
Dahlan N.Y.
Mansor M.H.
Sentilkumar A.V.
Johari D.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
Economic dispatch study is important in the electric power industry because it is concerned with efficient electrical power production and economics. It is crucial to reduce the operating costs of electric energy because even small savings have a large impact on total generation costs and fuel consumption. This paper presents the proposed algorithm namely Hybrid Evolutionary-Barnacles Mating Optimization (HEBMO) to solve non-convex economic dispatch (ED) problems specifically under the line and generator outages. The evaluation is tested on two types of reliability test systems (RTS), named IEEE 30-Bus RTS and IEEE 57-Bus RTS. HEBMO is compared to a single optimization algorithm, EP and BMO for performance evaluation purposes. The results show that the HEBMO algorithm outperforms EP and BMO in terms of minimizing the generation cost. On the other hand, HEBMO also achieves a convincing performance in terms of fast computational time. � 2022 IEEE.
Description
Computer programming; Economic analysis; Electric industry; Electric power system economics; Evolutionary algorithms; Operating costs; Barnacle mating optimizer; Economic dispatch problems; Matings; Non-convex economic load dispatch; Nonconvex economic dispatches; Optimisations; Optimizers; Performances evaluation; Ramp rate limits; Reliability test system; Electric load dispatching