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• W2338226783 abstract "Unit Commitment (UC) and Economic load dispatch (ELD) are significant research applications in power systems that optimize the total production cost of the predicted load demand. The UC problem determines a turn3on and turn3off schedule for a given combination of generating units, thus satisfying a set of dynamic operational constraints. ELD optimizes the operation cost for all scheduled generating units with respect to the load demands of customers. The first phase in this project is to economically schedule the distribution of generating units using Genetic Algorithm (GA) and the second phase is to determine optimal load distribution for the scheduled units using Self Adaptive Differential Evolution (SADE) algorithm. GA is applied to select and choose the combination of generating units that commit and de3commit during each hour. These pre3committed schedules are optimized by SADE thus producing a global optimum solution with feasible and effective solution quality, minimal cost and time and higher precision. The effectiveness of the proposed techniques is investigated on two test systems consisting of six and ten generating units and the experiments are carried out using MATLAB R2008b software. Experimental results prove that the proposed method is capable of yielding higher quality solution including mathematical simplicity, fast convergence, diversity maintenance, robustness and scalability for the complex UC3ELD problem." @default.
• W2338226783 created "2016-06-24" @default.
• W2338226783 creator A5019438241 @default.
• W2338226783 date "2012-01-01" @default.
• W2338226783 modified "2023-09-26" @default.
• W2338226783 title "Unit Commitment and Economic Load Dispatch using Self Adaptive Differential Evolution" @default.
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• W2338226783 hasPublicationYear "2012" @default.
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