Optimal Energy Scheduling of Photovoltaic Natural Gas, Cooling, Heating and Power Co-supply Park Micro-network

被引:1
|
作者
Lin S. [1 ]
Yang Z. [1 ]
Lu Y. [1 ]
Liu M. [1 ]
He S. [1 ]
Jiang H. [1 ]
机构
[1] School of Electric Power, South China University of Technology, Guangzhou, 510640, Guangdong
关键词
Multiple energy storage; Natural gas; cooling; heating and power co-supply; Optimal scheduling; Park micro-network; Photovoltaic output fluctuation;
D O I
10.12141/j.issn.1000-565X.180245
中图分类号
学科分类号
摘要
Natural gas, cooling, heating and power co-supply park micro-network provides cooling, heating, power and natural gas supply functions, and has the advantage of energy cascade utilization. It can effectively improve the energy utilization rate and reduce the emission of pollutants. Aiming at the energy optimal dispatch pro-blem of natural gas, cooling, heating and power co-supply park micro-network, and taking the minimum operating cost as the objective function, a multi-period dynamic optimal scheduling model of the natural gas, cooling, heating and power co-supply park micro-network was established. It considered both the network operation characteristics of the cooling network, heating network, power supply network and natural gas supply network, and the influence of multiple energy storage devices including electricity storage, cooling storage and heating storage on the microgrid dispatch. Based on the scenario method, an optimal energy dispatching model of co-supply park micro-network considering the stochastic fluctuation of photovoltaic output was established, and the uncertain fluctuation of PV output was balanced by rapidly adjusting the stored power of the energy storage device. Taking a natural gas, cooling, heating and power co-supply park micro-network as an example, the correctness and effectiveness of the proposed optimal scheduling model were verified. The optimization results show that the proposed operation scheduling scheme of micro-network can effectively save the energy consumption and reduce its operating cost; the coordinated operation of multiple energy storage devices can more effectively reduce the operating cost of the micro-network and help to stabilize the uncertain fluctuations of PV power generation. © 2019, Editorial Department, Journal of South China University of Technology. All right reserved.
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页码:9 / 19
页数:10
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共 21 条
  • [1] Zhang W., Che Y., Ren J., Et al., Design, operation and analysis of CCHP system, Proceedings of the CSU-EPSA, 26, 12, pp. 80-84, (2014)
  • [2] Ji P., Zhou X., Song Y., Et al., Review and prospect of regional renewable energy planning models, Power System Technology, 37, 8, pp. 2071-2079, (2013)
  • [3] Gu W., Wu Z., Bo R., Et al., Modeling, planning and optimal energy management of combined cooling, heating and power microgrid: a review, Electrical Power & Energy Systems, 54, 1, pp. 26-37, (2014)
  • [4] Kruase T., Andersson G., Frohlich K., Et al., Multiple-energy carriers: modeling of production, delivery and consumption, Proceedings of the IEEE, 99, 1, pp. 15-27, (2011)
  • [5] Liu X., Li J., Qu Y., Et al., Overview of modeling of combined cooling heating and power system, Power System and Clean Energy, 28, 7, pp. 63-68, (2012)
  • [6] Wang Y., Zeng B., Guo J., Et al., Multi-energy flow calculation method for integrated energy system containing electricity, heat and gas, Power System Technology, 40, 10, pp. 2942-2950, (2016)
  • [7] Xu X., Jia H., Jin X., Et al., Study on hybrid heat-gas-power flow algorithm for integrated community energy system, Proceedings of the CSEE, 35, 14, pp. 3634-3642, (2015)
  • [8] Yang Z., Lin S., Wang Y., Et al., A decoupling method for energy flow calculation of microgrids with combined cooling, heating and power, Power System Technology, 41, 12, pp. 3876-3883, (2017)
  • [9] Guan L., Chen P., Tang Z., Et al., Integra-ted energy station design considering cold and heat storage, Power System Technology, 40, 10, pp. 2934-2941, (2016)
  • [10] Wang J., Gu W., Lu S., Et al., Coordinated planning of multi-district integrated energy system combining heating network model, Automation of Electric Power Systems, 40, 15, pp. 17-24, (2016)