Optimal Capacity Configuration for Energy Hubs Considering Part-Load Characteristics of Generation Units

Shan Deng, Qinghua Wu, Zhaoxia Jing, Lilan Wu, Feng Wei and Xiaoxin Zhou
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Shan Deng: School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China
Qinghua Wu: School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China
Zhaoxia Jing: School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China
Lilan Wu: School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China
Feng Wei: School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China
Xiaoxin Zhou: China Electric Power Research Institute, State Grid Corporation of China, Qinghe, Beijing 100192, China

Energies, 2017, vol. 10, issue 12, 1-19

Abstract: The simulation model is one of the key points affecting the optimal planning and operation of energy hubs (EHs). Since treating the efficiencies of generation units as constants would significantly simplify the calculation, only a simplified model is investigated in most research works. In this paper, aiming at optimizing the capacity configuration of an EH, we present a part-load characteristics-based (PLCB) model, in which the efficiencies of generation units will change with the fluctuating load. Based on the PLCB model, the accuracy of the EH model can be improved. Furthermore, a two-stage planning method is proposed to solve the optimal capacity configuration problem of the EH. Group Search Optimizer (GSO) is used to determine the optimal size in the first stage, and a mathematical programming method is applied to obtain the optimal operation of the EH in the second stage. Comparative studies using the PLCB model and the simplified model are performed to examine the impacts of equipment part-load characteristics on the sizing results. Simulation results indicate that the proposed model appears to have a better economic performance than the simplified model.

Keywords: energy hubs; simplified model; capacity configuration; part-load characteristics-based model; two-stage planning method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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