Two-Layer Optimize Algorithm for Microgrid Economic Dispatch

• Published in: Applied Mechanics and Materials Vol. 672-674; no. Renewable Energy and Power Technology II; pp. 1336 - 1341
• Main Authors: Dong, Kai Song, Jia, Rong, Ding, Yan, Shen, Wei Cheng, Zhao, Yao, Li, Zhen
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 01.10.2014
• Subjects: Algorithms; Computer simulation; Distributed generation; Genetic algorithms; Mathematical models; Optimization; Power flow; Programming; Microgrids (MGs); Mixed-Integer Programming; Economic Dispatch; Two-Layer Optimization
• ISBN: 9783038352860; 3038352861
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.672-674.1336

To deal with the super short-time energy management of microgrid, a mixed-integer programming optimization algorithm combined with genetic algorithm is proposed. Firstly, this paper introduced the short-time economic dispatch mathematical model of microgrid. Secondly, a two-layer optimize algorithm is been developed. The lower layer takes no account of power flow constrains, convert the model into a mixed-integer programming problem through linearization techniques. The lower layer gets the generation schedule, and then passes the data to the upper layer. The upper layer takes the power flow constrains into account, optimize the unit output based on genetic algorithm. The simulation result shows that the proposed algorithm achieves a better complementary of the two kinds of optimization algorithm. At the same time, the optimization result also shows the effectiveness of the algorithm.