Optimal Economic Scheduling for Multi-microgrid System with Combined Cooling, Heating and Power Considering Service of Energy Storage Station

被引：0

作者：

Wu S. ^{[1
]}

Liu J. ^{[1
]}

Zhou Q. ^{[1
]}

Wang C. ^{[1
]}

Chen Z. ^{[1
]}

机构：

[1] Electric Power Research Institute of State Grid Jiangsu Electric Power Co. Ltd., Nanjing

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 10期

关键词：

Combined cooling; heating and power (CCHP); Energy storage station service; Load power balance; Multi-microgrid system; Optimal scheduling; Renewable energy accommodation;

D O I：

10.7500/AEPS20181024001

中图分类号：

学科分类号：

摘要：

A day-ahead optimal scheduling method for combined cooling heating and power (CCHP) multi-microgrid system considering energy storage station service is proposed. Firstly, the public energy storage station is built in the multi-microgrid system, and the service mode for the energy storage station on the user side is proposed. Then, the energy storage station service is applied to the optimal economic schedule of CCHP multi-microgrid system. The power balance and operation cost of the cooling load, heating load and power load in microgrids are optimized by coordinating the interactive power between energy storage station and microgrids. Finally, three operation modes of CCHP multi-microgrid system under the typical scenarios are carried out to analyze the optimal economic scheduling. Numerical studies demonstrate that the proposed optimal scheduling method can effectively improve the operation flexibility of the public energy storage station, realize time-domain transfer of the excess energy of microgrids and consume the renewable energy generation by 100%, while reduce the operation costs of CCHP multi-microgrid system. © 2019 Automation of Electric Power Systems Press.

引用

页码：10 / 18

页数：8

共 22 条

[1]

Cui L., Tang Y., Optimal operation and sensitivity analysis of the combined cooling, heating and power microgrid, Electric Power Engineering Technology, 36, 6, pp. 138-143, (2017)

[2]

Li Y., Hu R., Exergy-analysis based comparative study of absorption refrigeration and electric compression refrigeration in CCHP systems, Applied Thermal Engineering, 93, pp. 1228-1237, (2016)

[3]

Tian P., Xiao X., Ding R., Et al., A capacity configuring method of composite energy storage system in autonomous multi-microgrid, Automation of Electric Power Systems, 37, 1, pp. 168-173, (2013)

[4]

Eddy Y., Gooi H.B., Chen S.X., Multi-agent system for distributed management of microgrids, IEEE Transactions on Power Systems, 30, 1, pp. 24-34, (2015)

[5]

Nikmehr N., Ravadanegh S.N., Optimal power dispatch of multi-microgrids at future smart distribution grids, IEEE Transactions on Smart Grid, 6, 4, pp. 1648-1657, (2015)

[6]

Wang C., Hong B., Guo L., Et al., A general modeling method for optimal dispatch of combined cooling, heating and power microgrid, Proceedings of the CSEE, 33, 31, pp. 26-33, (2013)

[7]

Lin K., Wu J., Hao L., Et al., Optimization of operation strategy for micro-energy grid with CCHP systems based on non-cooperative game, Automation of Electric Power Systems, 42, 6, pp. 25-32, (2018)

[8]

Gu W., Wang Z., Wu Z., Et al., An online optimal dispatch schedule for CCHP microgrids based on model predictive control, IEEE Transactions on Smart Grid, 8, 5, pp. 2332-2342, (2017)

[9]

Guo L., Liu W., Cai J., Et al., A two-stage optimal planning and design method for combined cooling, heat and power microgrid system, Energy Conversion and Management, 74, 10, pp. 433-445, (2013)

[10]

Xu Q., Li L., Sheng Y., Et al., Day-ahead optimized economic dispatch of active distribution power system with combined cooling, heating and power-based microgrids, Power System Technology, 42, 6, pp. 1726-1734, (2018)

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