Technological development of multi-energy complementary system based on solar PVs and MGT

Abstract

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

References

[1] Energy Information Administration. World consumption of primary energy by selected country groups (BTU). EIA, 2001

[2] Liu Z Y. Global Energy Internet. Beijing: China Electric Power Press, 2015 (in Chinese)

[3] Lasseter R H, Paigi P. Microgrid: a conceptual solution. In: IEEE 35th Annual Power Electronics Specialists Conference, Aachen, Germany , 2004, 6: 4285–4290

[4] Hatziargyriou N, Asano H, Iravani R, Marnay C. Microgrids. IEEE Power and Energy Magazine, 2007, 5(4): 78–94

[5] Lasseter R, Akhil A, Marnay C, Stephens J, Dagle J, Guttromson R, Meliopoulous A S, Yinger R, Eto J. Integration of distributed energy resources. The CERTS Microgrid concept. 2002, https://escholarship.org/uc/item/qw882721

[6] Wang C S, Wang S X. Study on some key problems related to distributed generation systems. Automation of Power System, 2008, 32(20): 1–4 (in Chinese)

[7] Deng H, Zhou N C. Research on modeling and control strategies of PV and microturbine hybrid microgrid. Dissertation for Master’s Degree. Chongqing: Chongqing University, 2011 (in Chinese)

[8] Degobert P, Kreuawan S, Guillaud X. 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] Kong L Z, Tang X S, Qi Z P. 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] Kim S K, Kim E S, Ahn J B. 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] Zhou D J, Zhao Z M, Yuan L Q. 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] Lai L S, Hou W C, Feng Y T. 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] Ji C A, Zhang X B, Zhao X Y, Wu H, Zeng G H. Complementary wind-solar power system based on fuzzy control. Transactions of China Electrotechnical Society, 2007, 22(10): 178–184 (in Chinese)

[14] Hussein K H, Muta I, Hoshino T. Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions. IEE Proceedings, Generation, Transmission and Distribution, 1995, 142(1): 59–64

[15] Kim S K, Jeon J H, Cho C H, Kim E S, Ahn J B. Modeling and simulation of a grid-connected PV generation system for electromagnetic transient analysis. Solar Energy, 2009, 83(5): 664–678

[16] Lu N. An evaluation of the HVAC load potential for providing load balancing service. IEEE Transactions on Smart Grid, 2012, 3(3): 1263–1270

[17] Khoa T Q D, Binh P T T, Tran H B. 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] Kalantar M, Mousavi G S M. 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] Heffner G C, Goldman C A, Moezzi M M. Innovative approaches to verifying demand response of water heater load control. IEEE Transactions on Power Delivery, 2006, 21(1): 388–397

[20] Wang C S, Nehrir M H. Power management of a stand-alone wind/photovoltaic/fuel cell energy system. IEEE Transactions on Energy Conversion, 2008, 23(3): 957–967

[21] Moradi M H, Eskandari M, Showkati H. 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] Xu L, Ruan X, Mao C. An improved optimal sizing method for wind-solar-battery hybrid power system. IEEE Transactions on Sustainable Energy, 2013, 4(3): 744–785

[23] Kamjoo A, Maheri A, Putrus G A. Chance constrained programming using non-Gaussian joint distribution function in design of standalone hybrid renewable energy systems. Energy, 2014, 66: 677–688

[24] Giannakoudis G, Papadopoulos A I, Seferlis P, Voutetakis S. 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] Arun P, Banerjee R, Bandyopadhyay S. Optimum sizing of photovoltaic battery systems incorporating uncertainty through design space approach. Solar Energy, 2009, 83(7): 1013–1025

[26] Bahramirad S, Reder W, Khodaei A. Reliability-constrained optimal sizing of energy storage system in a microgrid. IEEE Transactions on Smart Grid, 2012, 3(4): 2056–2062

[27] Wang H Y, Bai X M, Jing X U. 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] Saravanamuttoo H I H, Rogers G F C, Cohen H. Gas Turbine Theory. 5th ed. London: Longman, 2001

[29] Garcia H E, Mohanty A, Lin W C, Cherry R S. Dynamic analysis of hybrid energy systems under flexible operation and variable renewable generation—Part I: dynamic performance analysis. Energy, 2013, 52: 1–16

[30] Xiao J, Bai L Q, Wang C S. Method and software for planning and designing of microgrid. Proceedings of the CSEE, 2012, 32(25): 149–157 (in Chinese)

[31] Weng Y W, Su M, Weng S L. Application analysis of CCHP. In: Chinese Academic of Engineering: Forum of Clean Energy in Yangtze River Delta, Shanghai, China, 2005

[32] Guo X. Research on distributed generation and planning methods of typical microgrid. Dissertation for Master’s Degree. Shanghai: Shanghai Jiao Tong University, 2013 (in Chinese)

[33] Lambert T, Gilman P, Lilienthal P. Micropower system modeling with HOMER. 2006–04–15, https://www.homerenergy.com/documents/MicropowerSystemModelingWithHOMER.pdf

[34] Wang R Q. 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] Mehleri E D, Sarimveis H, Markatos N C, Papageorgiou L G. A mathematical programming approach for optimal design of distributed energy systems at the neighborhood level. Energy, 2012, 44(1): 96–104

[36] Siddiqui A S, Marnay C, Edwards J L, Firestone R. Effects of carbon tax on microgrid combined heat and power adoption. Journal of Energy Engineering, 2005, 131(1): 2–25

[37] Chen Z, Tian F, Lv X J, Weng Y W. Distributed energy supply complemented gas turbine with renewable energy. Chinese Journal of Nature, 2017, 39(1): 48–53 (in Chinese)

[38] Weng S L, Weng Y W, Su M. Characteristics and application of gas turbine distributed energy supply system. Aeroengine, 2006, 1: 9–12

[39] Jin H G, Sui J, Cong X U. Research on theory and method of muti-energy complementary distributed CCHP system. Proceedings of the CSEE, 2016, 36(12): 3150–3160 (in Chinese)

[40] Liu H. 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] Jiang R H. 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] Whitney G C. 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] Rodriguez-Aumente P A, Rodriguez-Hidalgo M C, Nogueira J I, Lecuona A, Venegas M C. District heating and cooling for business buildings in Madrid. Applied Thermal Engineering, 2013, 50(2): 1496–1503

[44] Gu W, Wu Z, Bo R, Liu W, Zhou G, Chen W, Wu Z. 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] Sakawa M, Kato K, Ushiro S. 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] Taher N, Hamed Z M, Hasan D M. 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] Piperagkas G S, Anastasiadis A G, Hatziargyriou N D. 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] Chen J, Yang X, Zhu L. Microgrid multi-objective economic dispatch optimization. Proceedings of the CSEE, 2013, 33(19): 57–66 (in Chinese)

[49] Murai M, Sakamoto Y, Shinozaki T. 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] Ono E, Yoshida H, Wang F L. 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] Zhang W K. 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] Yuan P, Zheng L. Power quality detection of the micro grid based on HHT. Electronic Design Engineering, 2016, 24(5): 22–25 (in Chinese)

[53] Shen H, Xie Z Y, Weng G. 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] Wang X P, Wei Z N, Sun G Q. Multi-objective distribution network reconfiguration considering uncertainties of distributed generation and load. Electric Power Automation Equipment, 2016, 36(6): 116–121 (in Chinese)

[55] Zhu H B, Wu Z J, Dou X B, Fei K, Lu J. Hierarchical coordinative protection of microgrid. Power System Technology, 2013, 37(1): 9–14 (in Chinese)

[56] Wang S Y, Qian A I. Worldwide standard for integration of microgrid and distributed generations. East China Electric Power, 2013, 41: 1170–1174 (in Chinese)

Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 51376123), Shanghai Sailing Program (Grant No. 17YF1409800), and China’s Post-Doctoral Science Fund (No. 2017M611561).

RIGHTS & PERMISSIONS

2018 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature