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Frontiers in Energy

Front. Energy    2018, Vol. 12 Issue (4) : 540-549     https://doi.org/10.1007/s11708-018-0597-4
RESEARCH ARTICLE |
Decoupling optimization of integrated energy system based on energy quality character
Shixi MA, Shengnan SUN, Hang WU, Dengji ZHOU, Huisheng ZHANG(), Shilie WENG
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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Abstract

Connections among multi-energy systems become increasingly closer with the extensive application of various energy equipment such as gas-fired power plants and electricity-driven gas compressor. Therefore, the integrated energy system has attracted much attention. This paper establishes a gas-electricity joint operation model, proposes a system evaluation index based on the energy quality character after considering the grade difference of the energy loss of the subsystem, and finds an optimal scheduling method for integrated energy systems. Besides, according to the typical load characteristics of commercial and residential users, the optimal scheduling analysis is applied to the integrated energy system composed of an IEEE 39 nodes power system and a 10 nodes natural gas system. The results prove the feasibility and effectiveness of the proposed method.

Keywords integrated energy system      energy quality character      optimization      electric power system      natural gas system     
Corresponding Authors: Huisheng ZHANG   
Online First Date: 03 December 2018    Issue Date: 21 December 2018
 Cite this article:   
Shixi MA,Shengnan SUN,Hang WU, et al. Decoupling optimization of integrated energy system based on energy quality character[J]. Front. Energy, 2018, 12(4): 540-549.
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http://journal.hep.com.cn/fie/EN/10.1007/s11708-018-0597-4
http://journal.hep.com.cn/fie/EN/Y2018/V12/I4/540
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Shixi MA
Shengnan SUN
Hang WU
Dengji ZHOU
Huisheng ZHANG
Shilie WENG
Fig.1  Coupling process of subsystem
Fig.2  Independent optimal scheduling process for subsystems
Fig.3  Unified optimization process
Fig.4  Architecture of integrated energy system
Categories Nodes
Commercial load 1, 3, 4, 7, 8, 9, 18, 25, 31, 39
Resident load 12, 15, 16, 20, 21, 23, 24, 26, 27, 28, 29
Tab.1  Categories of load nodes
No. Rated power Efficiency
Rated active power/MW Rated reactive power/Mvar
Gas-fired power plant 1 500 200 0.4
2 600 300 0.4
3 650 300 0.4
4 600 250 0.4
5 450 150 0.4
6 650 300 0.4
7 550 240 0.4
8 500 250 0.4
9 450 –150 0.4
10 350 –100 0.4
Compressor A 15 0.85
B 5 0.85
C 5 0.85
Wind power plant 100
Solar power plant 100
Tab.2  Parameters of gas power plant and compressor
Fig.5  Load curve of commercial area and residential area
Fig.6  Power curve of wind power plant and solar power plant
Fig.7  Comparison of network loss using different methods
Fig.8  Loss reduction by using Method 2
Method 1 Method 2
Power output of gas power plants/MWh 86032.5 86381.3
Total energy consumption of compressor/MW 255.3 336.2
Loss of electric network WE/MWh 341.1 289.93
Loss of gas network WG/MWh 295.33 386.4
System loss IIES/MWh 636.43 676.33
Loss reduction/MWh 39.9
Tab.3  Comparison before and after optimization
Fig.9  Comparison of power output of each generator in condition 1
Fig.10  Comparison of power output of each generator in condition 2
Fig.11  Comparison of power consumption of compressor and loss in electric network in condition 1
Fig.12  Comparison of power consumption of compressor and loss in electric network in condition 2
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