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Frontiers in Energy

Front. Energy    2018, Vol. 12 Issue (4) : 509-517
Technological development of multi-energy complementary system based on solar PVs and MGT
Xiaojing LV1, Yu WENG2, Xiaoyi DING1, Shilie WENG1, Yiwu WENG1()
1. Energy Research Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
2. Shanghai Investment Consulting Corporation, Shanghai 200003, China
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The complementary micro-energy network system consisting of solar photovoltaic power generation (solar PVs) and micro-gas turbine (MGT), which not only improves the absorption rate and reliability of photovoltaic power, but also has the advantages of low emission, high efficiency, and good fuel adaptability, has become one of the most promising distributed power systems in the field of micro grid. According to the development of current technology and the demand of actual work, this research described the domestic and foreign development of micro-energy network system based on solar PVs and MGT. Moreover, it analyzed the challenges and future development regarding the micro-energy network system in planning and design, energy utilization optimization and dispatching management, and system maintenance, respectively. Furthermore, it predicted the future development of the key technology of the multi-energy complementary system. These results will be beneficial for the progress of this field both in theory and practice.

Keywords renewable energy      solar photovoltaic power generation      micro gas turbine      multi-energy complementary system      micro-energy network     
Corresponding Authors: Yiwu WENG   
Online First Date: 03 December 2018    Issue Date: 21 December 2018
 Cite this article:   
Xiaojing LV,Yu WENG,Xiaoyi DING, et al. Technological development of multi-energy complementary system based on solar PVs and MGT[J]. Front. Energy, 2018, 12(4): 509-517.
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Xiaojing LV
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Shilie WENG
Fig.1  Power distribution of micro energy power system
Fig.2  Distributed power system of MGT and PV
Fig.3  Topology structure of energy management for distributed power system
Fig.4  Control structure of energy management system
Fig.5  Layer control strategy for micro-energy network
1 Energy Information Administration. World consumption of primary energy by selected country groups (BTU). EIA, 2001
2 Z YLiu. Global Energy Internet. Beijing: China Electric Power Press, 2015 (in Chinese)
3 R HLasseter, P Paigi. Microgrid: a conceptual solution. In: IEEE 35th Annual Power Electronics Specialists Conference, Aachen, Germany , 2004, 6: 4285–4290
4 NHatziargyriou, H Asano, RIravani, CMarnay. Microgrids. IEEE Power and Energy Magazine, 2007, 5(4): 78–94
5 RLasseter, A Akhil, CMarnay, JStephens, J Dagle, RGuttromson, A SMeliopoulous, RYinger, J Eto. Integration of distributed energy resources. The CERTS Microgrid concept. 2002,
6 C SWang, S X Wang. Study on some key problems related to distributed generation systems. Automation of Power System, 2008, 32(20): 1–4 (in Chinese)
7 HDeng, N C Zhou. Research on modeling and control strategies of PV and microturbine hybrid microgrid. Dissertation for Master’s Degree. Chongqing: Chongqing University, 2011 (in Chinese)
8 PDegobert, S Kreuawan, XGuillaud. Use of super capacitors to reduce the fast fluctuations of power of a hybrid system composed of photovoltaic and microturbine. In: International Symposium on Power Electronics, Electrical Drives, Automation and Motion, Taormina, Italy , 2006
9 L ZKong, X S Tang, Z P Qi. Study on modified EMAP model and its application in collaborative operation of hybrid distributed power generation system. In: Proceedings of 1st International Conference on Sustainable Power Generation and Supply, Nanjing, China, 2009
10 S KKim, E S Kim, J B Ahn. Modeling and control of a grid-connected wind/PV hybrid generation system. In: Proceedings of IEEE PES Transmission and Distribution Conference and Exhibition, Dallas, USA, 2006, 5: 1202–1207
11 D JZhou, Z M Zhao, L Q Yuan. Optimum control and stability analysis for a 300 kW photovoltaic grid-connected system. Transactions of China Electrotechnical Society, 2008, 23(11): 116–122 (in Chinese)
12 L SLai, W C Hou, Y T Feng. Novel grid-connected photovoltaic generation system. In: 3rd International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, Nanjing, China , 2008, 2536–2541
13 C AJi, X B Zhang, X Y Zhao, H Wu, G HZeng. Complementary wind-solar power system based on fuzzy control. Transactions of China Electrotechnical Society, 2007, 22(10): 178–184 (in Chinese)
14 K HHussein, I Muta, THoshino. Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions. IEE Proceedings, Generation, Transmission and Distribution, 1995, 142(1): 59–64
15 S KKim, J H Jeon, C H Cho, E S Kim, J B Ahn. Modeling and simulation of a grid-connected PV generation system for electromagnetic transient analysis. Solar Energy, 2009, 83(5): 664–678
16 NLu. An evaluation of the HVAC load potential for providing load balancing service. IEEE Transactions on Smart Grid, 2012, 3(3): 1263–1270
17 T Q DKhoa, P T TBinh, H BTran. Optimizing location and sizing of distributed generation in distribution systems. In: IEEE PES Power Systems Conference and Exposition, Atlanta, GA, USA, 2006: 725–732
18 MKalantar, G S M Mousavi. Dynamic behavior of a stand-alone hybrid power generation system of wind turbine, microturbine, solar array and battery storage. Applied Energy, 2010, 87(10): 3051–3064
19 G CHeffner, C A Goldman, M M Moezzi. Innovative approaches to verifying demand response of water heater load control. IEEE Transactions on Power Delivery, 2006, 21(1): 388–397
20 C SWang, M H Nehrir. Power management of a stand-alone wind/photovoltaic/fuel cell energy system. IEEE Transactions on Energy Conversion, 2008, 23(3): 957–967
21 M HMoradi, M Eskandari, HShowkati. A hybrid method for simultaneous optimization of DG capacity and operational strategy in microgrids utilizing renewable energy resource. International Journal of Electrical Power & Energy Systems, 2014, 56: 241–258
22 LXu, X Ruan, CMao. An improved optimal sizing method for wind-solar-battery hybrid power system. IEEE Transactions on Sustainable Energy, 2013, 4(3): 744–785
23 AKamjoo, A Maheri, G APutrus. Chance constrained programming using non-Gaussian joint distribution function in design of standalone hybrid renewable energy systems. Energy, 2014, 66: 677–688
24 GGiannakoudis, A I Papadopoulos, P Seferlis, SVoutetakis. Optimum design and operation under uncertainty of power systems using renewable energy sources and hydrogen storage. International Journal of Hydrogen Energy, 2010, 35(3): 872–891
25 PArun, R Banerjee, SBandyopadhyay. Optimum sizing of photovoltaic battery systems incorporating uncertainty through design space approach. Solar Energy, 2009, 83(7): 1013–1025
26 SBahramirad, W Reder, AKhodaei. Reliability-constrained optimal sizing of energy storage system in a microgrid. IEEE Transactions on Smart Grid, 2012, 3(4): 2056–2062
27 H YWang, X M Bai, X U Jing. Reliability assessment considering the coordination of wind power, solar energy and energy storage. Proceedings of the CSEE, 2012, 2(13): 13–20 (in Chinese)
28 H I HSaravanamuttoo, G F CRogers, HCohen. Gas Turbine Theory. 5th ed. London: Longman, 2001
29 H EGarcia, A Mohanty, W CLin, R SCherry. Dynamic analysis of hybrid energy systems under flexible operation and variable renewable generation—Part I: dynamic performance analysis. Energy, 2013, 52: 1–16
30 JXiao, L Q Bai, C S Wang. Method and software for planning and designing of microgrid. Proceedings of the CSEE, 2012, 32(25): 149–157 (in Chinese)
31 Y WWeng, M Su, S LWeng. Application analysis of CCHP. In: Chinese Academic of Engineering: Forum of Clean Energy in Yangtze River Delta, Shanghai, China, 2005
32 XGuo. Research on distributed generation and planning methods of typical microgrid. Dissertation for Master’s Degree. Shanghai: Shanghai Jiao Tong University, 2013 (in Chinese)
33 TLambert, P Gilman, PLilienthal. Micropower system modeling with HOMER. 2006–04–15,
34 R QWang. Research on multi-objective optimization design and coordinated control of distributed generation and microgrid. Dissertation for Doctoral Degree. Jinan: Shandong University, 2013 (in Chinese)
35 E DMehleri, H Sarimveis, N CMarkatos, L GPapageorgiou. A mathematical programming approach for optimal design of distributed energy systems at the neighborhood level. Energy, 2012, 44(1): 96–104
36 A SSiddiqui, C Marnay, J LEdwards, RFirestone. Effects of carbon tax on microgrid combined heat and power adoption. Journal of Energy Engineering, 2005, 131(1): 2–25
37 ZChen, F Tian, X JLv, Y WWeng. Distributed energy supply complemented gas turbine with renewable energy. Chinese Journal of Nature, 2017, 39(1): 48–53 (in Chinese)
38 S LWeng, Y W Weng, M Su. Characteristics and application of gas turbine distributed energy supply system. Aeroengine, 2006, 1: 9–12
39 H GJin, J Sui, X UCong. Research on theory and method of muti-energy complementary distributed CCHP system. Proceedings of the CSEE, 2016, 36(12): 3150–3160 (in Chinese)
40 HLiu. Combined cooling heating and power cogeneration systems integrated with solar thermochemical process and technologies for cascade utilization of waste heat. Dissertation for Master’s Degree. Beijing: University of Chinese Academy of Science, 2015 (in Chinese)
41 R HJiang. The CCHP system integration theory with enhancement on optimization analysis and its off-design performance. Dissertation for Master’s Degree. Guangzhou: South China University of Technology, 2014 (in Chinese)
42 G CWhitney. Modelling results for the thermal management sub-system of a combined heat and power (CHP) fuel cell system (FCS). Journal of Power Sources, 2003, 118(1–2): 129–149
43 P ARodriguez-Aumente, M CRodriguez-Hidalgo, J INogueira, ALecuona, M CVenegas. District heating and cooling for business buildings in Madrid. Applied Thermal Engineering, 2013, 50(2): 1496–1503
44 WGu, Z Wu, RBo, WLiu, G Zhou, WChen, ZWu. Modeling, planning and optimal energy management of combined cooling, heating and power microgrid: a review. International Journal of Electrical Power & Energy Systems, 2014, 54: 26–37
45 MSakawa, K Kato, SUshiro. Operational planning of district heating and cooling plants through genetic algorithms for mixed 0–1 linear programming. European Journal of Operational Research, 2002, 137(3): 677–687
46 NTaher, Z M Hamed, D M Hasan. A practical multi-objective PSO algorithm for optimal operation management of distribution network with regard to fuel cell power plants. Renewable Energy, 2010, 36(5): 1529–1544
47 G SPiperagkas, A GAnastasiadis, N DHatziargyriou. Stochastic PSO-based heat and power dispatch under environmental constraints incorporating CHP and wind power units. Electric Power Systems Research, 2011, 81(1): 209–218
48 JChen, X Yang, LZhu. Microgrid multi-objective economic dispatch optimization. Proceedings of the CSEE, 2013, 33(19): 57–66 (in Chinese)
49 MMurai, Y Sakamoto, TShinozaki. An optimizing control for district heating and cooling plant. In: Proceedings of the 1999 IEEE International Conference on Control Applications, Kohala Coast, HI, USA, 1999: 600–604
50 EOno, H Yoshida, F LWang. Retro-commissioning of a heat source system in a district heating and cooling system. In: International Building Performance Simulation Association, USA, 2009: 1546–1553
51 W KZhang. The BCHP cogeneration system’s configuration and its optimal application analysis. Dissertation for Master’s Degree. Shanghai: Shanghai Jiao Tong University, 2003 (in Chinese)
52 PYuan, L Zheng. Power quality detection of the micro grid based on HHT. Electronic Design Engineering, 2016, 24(5): 22–25 (in Chinese)
53 HShen, Z Y Xie, G Weng. Power quality monitoring and evaluation system for micro-grid based on LABVIEW. Journal of Mechanical & Electrical Engineering, 2014, 31(9): 1201–1205 (in Chinese)
54 X PWang, Z N Wei, G Q Sun. Multi-objective distribution network reconfiguration considering uncertainties of distributed generation and load. Electric Power Automation Equipment, 2016, 36(6): 116–121 (in Chinese)
55 H BZhu, Z J Wu, X B Dou, K Fei, JLu. Hierarchical coordinative protection of microgrid. Power System Technology, 2013, 37(1): 9–14 (in Chinese)
56 S YWang, A I Qian. Worldwide standard for integration of microgrid and distributed generations. East China Electric Power, 2013, 41: 1170–1174 (in Chinese)
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