Journal of Jilin University(Information Science Ed ›› 2016, Vol. 34 ›› Issue (3): 434-440.

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Optimization of Micro-Grid with DSM Based on Genetic Algorithm

YAO Jianhong, WANG Tianjiao, LIANG Dongyuan, KANG Yaowen, TANG Longqing   

  1. School of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China
  • Received:2015-06-18 Online:2016-05-25 Published:2016-12-21

Abstract:

To lower the cost of generation and optimization for electric customers experience, an economic scheduling model for a micro-grid is proposed considering DSM(Demand Side Management) with one solar source, two diesel generators and one battery. Demand-side electric customers respond to the dynamic pricing mechanism and transfer the load to achieve the purpose of saving electricity costs. Connecting the inconvenience caused to the customer with the duration of shifting and using genetic algorithm to minimize inconvenience and electricity costs of customer. The simulation results show that the cost of generation is less with DSM compared to the case without DSM and there is savings for the customer.

Key words: micro-grid(MG), demand side management(DSM), optimal operation, genetic algorithm

CLC Number: 

  • TM727