Distributed Optimization and Control of Microgrid Considering Environmental Protection and Stability

Yu Chen Hao; Xiao Bo Dou; Zai Jun Wu; Min Qiang Hu; Tao Li; Bo Zhao

doi:10.4028/www.scientific.net/AMR.732-733.1297

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 732-733Distributed Optimization and Control of Microgrid...

Distributed Optimization and Control of Microgrid Considering Environmental Protection and Stability

Abstract:

In order to reduce pollutant emissions to improve environmental protection, and maintain microgrid stability during real-time operation, a distributed energy optimization scheduling and stability control strategy was proposed. According to the distributed nature of the microgrid, as well as operational objectives of different microsources, an optimal scheduling model for microgrid environmental protection was designed. Based on the proposed model, the tasks of each unit in optimal scheduling and stability control were described. Genetic algorithm (GA) and user datagram protocol (UDP) were used to implement distributed optimization and control of the microgrid. The simulation indicates that, compared with the traditional centralized optimization and control, the proposed distributed optimization and control strategy can clearly show the characteristics of each unit, and have a faster computation speed. Meanwhile, it can timely response once the voltage fluctuates due to power imbalance, so as to keep microgrid stability in real-time operation.

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Periodical:

Advanced Materials Research (Volumes 732-733)

Pages:

1297-1302

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.732-733.1297

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Online since:

August 2013

Authors:

Yu Chen Hao, Xiao Bo Dou, Zai Jun Wu, Min Qiang Hu, Tao Li, Bo Zhao

Keywords:

Distributed Strategy, Environmental Protection, Microgrids (MGs), Optimal Scheduling, Stability Control

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