6533b872fe1ef96bd12d2dff
RESEARCH PRODUCT
Dynamic Economic Load Dispatch using Levenberg Marquardt Algorithm
Mohan KolheKrishna Teerath ChaturvediLeena Danielsubject
Rate limitingMathematical optimizationArtificial neural networkComputer science020209 energyComputer Science::Neural and Evolutionary Computation020208 electrical & electronic engineering02 engineering and technologyInterval (mathematics)Constraint (information theory)Levenberg–Marquardt algorithmElectric power systemEconomic load dispatch0202 electrical engineering electronic engineering information engineeringFeature (machine learning)description
Abstract Economic Load Dispatch (ELD) is a very important feature of power system network. This work proposes the novel approach which considers the constraint of ramp rate limit (RRL) to solve the ELD problem. It build up the time varying dynamic economic load dispatch in which load dispatching is calculated for each specified time interval, first it is tested with conventional lambda iteration technique and then the outcomes are used to train artificial neural network (ANN) it is based on Levenberg Marquardt algorithm (LMA).As compared with any other ANN method, the Levenberg Marquardt algorithm based dynamic economic load dispatch is more swift and precise. The propose algorithm is tested on 9 generating unit and results are presented and discussed.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-07-01 | Energy Procedia |