Research and Design of Centralized Control System for Optimizing Microgrids with Renewable Energy Power Generation

Abstract:

The exploitation and utilization of renewable energy, construction of sustainable energy system has gradually become the consensus of the international community, the research of microgrid technology with solar, wind and other renewable energy generation is becoming more and more deeply. According to the needs of the development of microgrid technology, in this paper a better functional architecture system of centralized control system for optimizing microgrids with new energy power generation system is proposed. First, according to the layered and distributed idea, a system of physical architecture which can run in the situations of both coordination control and self-control is designed, the system is mainly divided into physical components layer and the central station layer; and then the paper proposes the functional architecture system, it describes all the function modules and their interactions. Finally emphatically introduces the real-time security and stability control, energy optimization scheduling and other function modules which can improve the utilization ratio of renewable energy. The research of this system will play an important role in improving the absorption capacity of renewable energy; reducing fossil energy consumption and environment pollution.

• Periodical: Advanced Materials Research (Volume 773)
• Pages: 158-164
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.773.158
• Online since: September 2013
• Authors: Huan Na Niu, Ming Hao Yang, Xi Luo
• Keywords: Control Frame Structure, Coordination Control, Microgrids (MGs), Optimal Dispatch, Renewable Energy Power Generation, Software Functional Architecture System

References

[1] Lasseter R H, Akhil A, Marnay C, et al. Integration of distributed energy resources: the CERTS microgrid concept. USA : Consortium for Electric Reliability Technology Solutions( 2002).

DOI: 10.2172/799644

[2] Hatziargyriou N , Asano H , Iravani R, et al . Microgrids . IEEE Power and Energy.

[3] Magazine, 2007, 5(4) : 78-94.

[4] Wang Chengshan , Li Peng. Development and challenges of distributed generation , the micro-grid and smart distribution system. Automation of Electric Power Systems, (2010).

[5] 34(2) : 10-14.

[6] Tsikalakis A. G. , Hatziargyriou N. D. Centralized control for optimizing microgrids operation. IEEE Transactions on Energy Conversion. 2008, 23(1): 241-248.

DOI: 10.1109/tec.2007.914686

[7] Cirrineione M, Cossentino M, Gaglio S, et al. Intelligent energy management system.

[8] 2009 7th IEEE International Conference on Industrial Informatics (INDIN 2009). INDIN.

[9] 2009: 232-237.

[10] Dimeas A L, Hatziargyriou N D. Multi-Agent reinforcement learning for microgrids. in.

[11] IEEE PES, 2010: l-8.

[12] Katiraei F, Iravani R, Hatziargyriou N, et al. Microgrids management. Power and Energy.

[13] Magazine, IEEE , 2008, 6(3): 54-65.

[14] Tsikalakis A G , Hatziargyriou N D. Centralized control for optimizing microgrids operation.

[15] IEEE Transactions on Energy Conversion, 2008, 23(1): 241-248.

[16] ZOU Sanhong, PEI Wei, QI Zhiping. Common interface for interconnection between distributed generation and microgrid. Automation of Electric Power Systems, 2010, 34(3) : 91-95.

[17] WANG Chengshan, XIAO Zhaoxia, WANG Shouxiang. Synthetical control and analysis of microgrid. Automation of Electric Power Systems, 2008, 32(7) : 98-103.

[18] MAO Meiqin, DING Ming, CHANG Liuchen, et al. Testbed and information integration of ems for a microgrid with multi-energy generation systems. Automation of Electric Power Systems, 2010, 34(1) : 106-111.

DOI: 10.1109/icset.2008.4747111