Optimal scheduling of microgrid based on improved black hole algorithm

Authors

Nian Tong, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003 , China
Yanqing Li, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003 , China
Hongwei Shen, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003 , China
Yun Li, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003 , China

Keywords

microgrid, optimal scheduling, black hole algorithm, multiple time scale

Abstract

In order to improve the economical efficiency of micro-grid, it is necessary to conduct the day-ahead optimal scheduling. In this paper, a micro-grid optimal scheduling model is established for minimizing the operation cost of the micro-grid. The optimization variables of this model includes the battery charge/discharge power and fuel cells output power. Based on the day-ahead predicted data, one day is divided into 24 hours and the the scheduling period is set as 1 h. Then, taking 15 minutes as a period and the day is divided into 96 scheduling periods. The results of the one hour optimal scheduling are taken as the input of the 15 minutes optimal scheduling for re-optimization. The several heuristic algorithms are used to solve the models, respectively. The results show that the improved black hole algorithm converges faster than the others. The optimal results can be utilized as a reference for the battery charge/discharge power and the fuel cells output power for the next day. This method can effectively reduce the operating costs of micro-grid.

DOI

10.19781/j.issn.1673-9140.2021.05.014

First Page

113

Last Page

119

Recommended Citation

Tong, Nian; Li, Yanqing; Shen, Hongwei; and Li, Yun (2021) "Optimal scheduling of microgrid based on improved black hole algorithm," Journal of Electric Power Science and Technology: Vol. 36: Iss. 5, Article 14.
DOI: 10.19781/j.issn.1673-9140.2021.05.014
Available at: https://jepst.researchcommons.org/journal/vol36/iss5/14