Review on Solution Techniques for Solving Power System Dynamic Economic Dispatch Problem
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2017 by IJETT Journal|
|Year of Publication : 2017|
|Authors : Surendra Navariya, Prateek K. Singhal
|DOI : 10.14445/22315381/IJETT-V51P203|
Surendra Navariya, Prateek K. Singhal "Review on Solution Techniques for Solving Power System Dynamic Economic Dispatch Problem", International Journal of Engineering Trends and Technology (IJETT), V51(1),16-19 September 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Dynamic Economic Dispatch (DED) is an important task in power generation planning in which the main aim is to decide the economic schedule of thermal generators over the scheduling time horizon. The output power of each generating unit is determined with respect to the predicted load demand over a planning period satisfying unit and system constraints. In practical systems, with change in load conditions, the power generation has to be altered to meet the demand. In this paper, the study is performed to review the various approaches that have been utilized to solve this complex DED problem. These approaches are broadly classifies into three types, namely classical, heuristics and hybrid approaches. Based on the review, the analysis of various approaches is presented.
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Dynamic economic dispatch, artificial neural network, genetic algorithm, particle swarm optimization.