[1] Xu Qingshan, Xu Minjiao, Li Guodong, Jiang Ling, et al. Configuration optimization modelof multi-energy distributed generation system [J]. Journal of Southeast University (English Edition), 2017, 33 (2): 182-188. [doi:10.3969/j.issn.1003-7985.2017.02.010]

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

33

Issue:

2017 2

Page:

182-188

Research Field:

Electrical Engineering

Publishing date:

2017-06-30

Info

Title:

Configuration optimization modelof multi-energy distributed generation system

Author(s):

Xu Qingshan¹;  Xu Minjiao¹;  Li Guodong²;  Jiang Ling²

¹School of Electrical Engineering, Southeast University, Nanjing 210096, China
²Electric Power Research Institute of State Grid Tianjin Electric Power Company, Tianjin 300392, China

Keywords:

multi-energy complementation;  distributed generation(DG);  optimal configuration;  energy management;  comprehensive evaluation index(CEI);  analytic hierarchy process(AHP)

PACS:

TM744

DOI:

10.3969/j.issn.1003-7985.2017.02.010

Abstract:

To integrate different renewable energy resources effectively in a microgrid, a configuration optimization model of a multi-energy distributed generation(DG)system and its auxiliary equipment is proposed. The model mainly consists of two parts, the determination of initial configuration schemes according to user preference and the selection of the optimal scheme. The comprehensive evaluation index(CEI), which is acquired through the analytic hierarchy process(AHP)weight calculation method, is adopted as the evaluation criterion to rank the initial schemes. The optimal scheme is obtained according to the ranking results. The proposed model takes the diversity of different equipment parameters and investment cost into consideration and can give relatively suitable and economical suggestions for system configuration. Additionally, unlike Homer Pro, the proposed model considers the complementation of different renewable energy resources, and thus the rationality of the multi-energy DG system is improved compared with the single evaluation criterion method which only considers the total cost.

References:

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Memo

Memo:

Biography: Xu Qingshan(1979—), male, doctor, professor, xuqing-shan@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.51377021), the Science and Technology Project of State Grid Corporation of China(No.SGTJDK00DWJS1600014).
Citation: Xu Qingshan, Xu Minjiao, Li Guodong, et al. Configuration optimization model of multi-energy distributed generation system[J].Journal of Southeast University(English Edition), 2017, 33(2):182-188.DOI:10.3969/j.issn.1003-7985.2017.02.010.

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