 Optimal energy management of microgrid based on multi-parameter dynamic programmingXuejie Wang, Yanchao Ji, Jianze Wang, Yuanjun Wang and Lei Qi International Journal of Distributed Sensor Networks, 2020, vol. 16, issue 6, 1550147720937141 Abstract: With the wide application of microgrid system, fluctuation and randomness are the characteristics of distributed generation output. The traditional energy management system can’t meet the requirements to ensure the security and stability of the grid. The microgrid energy management is of great significance to the stable operation of power grid. In order to obtain higher economic benefits and pay less environmental costs, reasonable scheduling of various distributed power sources is able to achieve this goal. In this article, microgrid energy management including distributed generation is studied. The objective function includes the economic objective and the environmental objective. The model of energy management is considered as a multi-objectives and multi-parametric optimization problem. The multi-parameter dynamic programming is used to optimize the energy management of microgrid. Finally, the efficiency of the proposed method is examined by the simulation studies. Keywords: Microgrids; energy management; multi-parameter dynamic programming; battery (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:16:y:2020:i:6:p:1550147720937141 Access Statistics for this article More articles in International Journal of Distributed Sensor Networks |
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