Title: A Novel Approach to Solve Unit Commitment and Economic Load Dispatch Problem using IDE-OBL
Authors: Surekha, P; Sumathi, S
Abstract: The non-convex
and combinatorial nature of the UC-ELD problems requires the application of
heuristic algorithms to generate optimal schedules. In studies reported so far,
the Unit Commitment and the Economic Load Dispatch problems are solved as
separate problems. In the addressed work, the commitment and de-commitment of generating units is obtained using a Genetic
Algorithm (GA), and the optimal load
distribution of the scheduled units is obtained using Improved Differential
Evolution with Opposition Based Learning (IDE-OBL). The power demand is varied
for 24 hours to determine the schedule in the IEEE 30 bus system including
transmission losses, power balance and generator capacity constraints. Optimal
distribution of load among generating units, fuel cost per hour, power loss,
total power and computational time are computed for each of the test systems
using the intelligent algorithms. From the comparative analysis, it can be
concluded that GA-IDE-OBL is a better approach for solving UC-ELD problems in
terms of optimal solution, robustness, and computational efficiency.
Page(s): 395-399
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