Please use this identifier to cite or link to this item: https://doi.org/10.1109/TENCON.2009.5396184
Title: Short term generation scheduling of a microgrid
Authors: Logenthiran, T.
Srinivasan, D. 
Keywords: Distributed energy resource
Genetic algorithm
Lagrangian relaxation
Microgrid
Optimal generation scheduling
Issue Date: 2009
Source: Logenthiran, T.,Srinivasan, D. (2009). Short term generation scheduling of a microgrid. IEEE Region 10 Annual International Conference, Proceedings/TENCON : -. ScholarBank@NUS Repository. https://doi.org/10.1109/TENCON.2009.5396184
Abstract: Microgrids are low voltage intelligent distribution networks comprising various distributed generators, storage devices and controllable loads which can be operated as interconnected or as islanded system. The optimal generation scheduling is one of the important functions for the Microgrid operation. This paper describes a three-step efficient method for the optimal generation scheduling of a Microgrid in island operation. The first step of the method is to set up an initial feasible solution for thermal unit commitment and the next step is to solve the thermal unit commitment problem. The final step is to optimize the renewable-thermal dispatch based on thermal unit commitment results. Solving the thermal unit commitment problem has more opportunity to minimize the operating cost. Therefore, few algorithms such as Lagrangian relaxation, genetic algorithm and a hybrid algorithm of Lagrangian relaxation and genetic algorithm have been used to find the least operating cost. Microgrid which is considered in the case study, consists of a PV system, a wind plant, 10 thermal units and a battery bank. ©2009 IEEE.
Source Title: IEEE Region 10 Annual International Conference, Proceedings/TENCON
URI: http://scholarbank.nus.edu.sg/handle/10635/71760
ISBN: 9781424445479
DOI: 10.1109/TENCON.2009.5396184
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