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2024 | OriginalPaper | Chapter

Micro Grid Scheduling Method Based on DAR-PSO Load Matching Strategy

Authors : Bo Li, Ruifeng Zhao, Jiangang Lu, Kuo Xin, Jinhua Huang, Guanqiang Lin, Jinrong Chen, Xueyue Pang

Published in: The Proceedings of the 18th Annual Conference of China Electrotechnical Society

Publisher: Springer Nature Singapore

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Abstract

In order to improve the stability and economy of the power system after the grid connection of distributed energy, the “load similarity” feature is introduced to improve the clustering algorithm. The power and heat loads are divided into different time levels according to the daily load demand and other indicators, and the power of the distributed unit is matched according to the power and heat load supply and demand relationship corresponding to different levels of load. The idea of “Destroy And Repair in Particle Swarm Optimization” (DAR-PSO) was introduced to optimize the scheduling optimization model of micro grid. Based on the DAR-PSO load matching strategy, compared with the conventional strategy, the power load supply and demand deviation rates decreased by 2.03%, 2.37% and 2.88% in different load stages, and the heat load supply and demand deviation rates decreased by 1.15%, 2.51% and 1.64%, respectively. The total operation benefits of micro grid were increased by 1.40%, 6.15% and 3.86% respectively, which improved the economic benefits of micro grid operation.

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Literature
1.
go back to reference Mirsaeidi, S., Said, D.M., Mustafa, M.W., et al.: An analytical literature review of the available techniques for the protection of micro-grids. Int. J. Electr. Power Energy Syst. 58(12), 300–306 (2014)CrossRef Mirsaeidi, S., Said, D.M., Mustafa, M.W., et al.: An analytical literature review of the available techniques for the protection of micro-grids. Int. J. Electr. Power Energy Syst. 58(12), 300–306 (2014)CrossRef
2.
go back to reference Lu, C., Guo, L., Liu, Y., et al.: Distributed optimal dispatching method for independent microgrids based on flexible interconnection. Power Syst. Technol. 43(5), 1512–1519 (2019). (in Chinese) Lu, C., Guo, L., Liu, Y., et al.: Distributed optimal dispatching method for independent microgrids based on flexible interconnection. Power Syst. Technol. 43(5), 1512–1519 (2019). (in Chinese)
3.
go back to reference Moradi, M.H., Foroutan, V.B., Abedini, M.: Power flow analysis in islanded micro-grids via modeling different operational modes of DGs: a review and a new approach. Renew. Sustain. Energy Rev. 69, 248–262 (2017) Moradi, M.H., Foroutan, V.B., Abedini, M.: Power flow analysis in islanded micro-grids via modeling different operational modes of DGs: a review and a new approach. Renew. Sustain. Energy Rev. 69, 248–262 (2017)
4.
go back to reference Logenthiran, T., Srinivasan, D., Khambadkone, A.M.: Multiagent system for real-time operation of a microgrid in real-timedigital simulator. IEEE Trans. Smart Grid 3, 1071–1090 (2012)CrossRef Logenthiran, T., Srinivasan, D., Khambadkone, A.M.: Multiagent system for real-time operation of a microgrid in real-timedigital simulator. IEEE Trans. Smart Grid 3, 1071–1090 (2012)CrossRef
5.
go back to reference Lv, P., Zhao, J., Su, D., et al.: Distributed dynamic economic scheduling of independent microgrid based on consistency theory. Autom. Electr. Power Syst. 43(05), 22–29 (2019). (in Chinese) Lv, P., Zhao, J., Su, D., et al.: Distributed dynamic economic scheduling of independent microgrid based on consistency theory. Autom. Electr. Power Syst. 43(05), 22–29 (2019). (in Chinese)
6.
go back to reference Chaouachi, A., Kamel, R.M., Andoulsi, R.: Multiobjective intelligent energy management for a microgrid. IEEE Trans. Ind. Electron. 60(4), 1688–1699 (2013)CrossRef Chaouachi, A., Kamel, R.M., Andoulsi, R.: Multiobjective intelligent energy management for a microgrid. IEEE Trans. Ind. Electron. 60(4), 1688–1699 (2013)CrossRef
7.
go back to reference Hota, P.K., Barisal, A.K., Chakrabarti, R.: Economic emission load dispatch through fuzzy based bacterial foraging algorithm. Int. J. Electr. Power Energy Syst. 32(7), 794–803 (2010)CrossRef Hota, P.K., Barisal, A.K., Chakrabarti, R.: Economic emission load dispatch through fuzzy based bacterial foraging algorithm. Int. J. Electr. Power Energy Syst. 32(7), 794–803 (2010)CrossRef
8.
go back to reference Cheng, H., Gao, C., Ma, Z., et al.: The lexicographically stratified method for multi-object optimal electric power network planning. Proc. CSEE 23(10), 11–16 (2003). (in Chinese) Cheng, H., Gao, C., Ma, Z., et al.: The lexicographically stratified method for multi-object optimal electric power network planning. Proc. CSEE 23(10), 11–16 (2003). (in Chinese)
9.
go back to reference Yang, Y., Lei, X., Ye, T., et al.: Microgrid energy optimal dispatch considering the security and reliability. Proc. CSEE 34(19), 3080–3088 (2014). (in Chinese) Yang, Y., Lei, X., Ye, T., et al.: Microgrid energy optimal dispatch considering the security and reliability. Proc. CSEE 34(19), 3080–3088 (2014). (in Chinese)
10.
go back to reference Habibi, D., Bass, O., et al.: Power flow control in grid-connected microgrid operation using Particle Swarm Optimization under variable load conditions. Int. J. Electr. Power Energy Syst. (2013) Habibi, D., Bass, O., et al.: Power flow control in grid-connected microgrid operation using Particle Swarm Optimization under variable load conditions. Int. J. Electr. Power Energy Syst. (2013)
11.
go back to reference Jing, T., Tan, Y., Yang, M.: Establishment of optimal scheduling model for rural microgrid. Trans. Chin. Soc. Agric. Eng. 28(14), 127–132 (2012). (in Chinese) Jing, T., Tan, Y., Yang, M.: Establishment of optimal scheduling model for rural microgrid. Trans. Chin. Soc. Agric. Eng. 28(14), 127–132 (2012). (in Chinese)
12.
go back to reference Tian, H., Wang, K., Yu, B., et al.: Optimization planning of distribution network considering multi-type load and landscape uncertainty. Chin. J. Electr. Syst. Autom. Chem. 33(09), 144–150 (201). (in Chinese) Tian, H., Wang, K., Yu, B., et al.: Optimization planning of distribution network considering multi-type load and landscape uncertainty. Chin. J. Electr. Syst. Autom. Chem. 33(09), 144–150 (201). (in Chinese)
13.
go back to reference Ma, Z., Xu, S., Zhu, S., et al.: Power load classification based on feature weighted fuzzy clustering. China Electr. Power 55(06), 25–32 (202) (in Chinese) Ma, Z., Xu, S., Zhu, S., et al.: Power load classification based on feature weighted fuzzy clustering. China Electr. Power 55(06), 25–32 (202) (in Chinese)
14.
go back to reference Tao, Y.: Design of power grid operating loss optimization control system considering safety constraints. Electron. Des. Eng. 29(01), 163–167 (201). (in Chinese) Tao, Y.: Design of power grid operating loss optimization control system considering safety constraints. Electron. Des. Eng. 29(01), 163–167 (201). (in Chinese)
15.
go back to reference Envelope, M.M.K.P., Envelope, I.A., Envelope, E.F.: Optimal sizing of standalone rural microgrid for sustainable electrification with renewable energy resources. Sustain. Cities Soc. (2022) Envelope, M.M.K.P., Envelope, I.A., Envelope, E.F.: Optimal sizing of standalone rural microgrid for sustainable electrification with renewable energy resources. Sustain. Cities Soc. (2022)
16.
go back to reference Li, A., Dong, X., Ji, J., et al.: Reactive power optimization of power system based on improved particle swarm optimization. China Electr. Eng. (03), 11–13+17 (2022). (in Chinese) Li, A., Dong, X., Ji, J., et al.: Reactive power optimization of power system based on improved particle swarm optimization. China Electr. Eng. (03), 11–13+17 (2022). (in Chinese)
17.
go back to reference Wu, G., Mao, N., Xu, B., et al.: Multi-vehicle and multi-UAV collaborative distribution method based on adaptive large-scale neighborhood search algorithm. Control Decis. 38(01), 201–210 (2023). (in Chinese) Wu, G., Mao, N., Xu, B., et al.: Multi-vehicle and multi-UAV collaborative distribution method based on adaptive large-scale neighborhood search algorithm. Control Decis. 38(01), 201–210 (2023). (in Chinese)
18.
go back to reference Yao, J.: Optimal Scheduling of Micro Grid Based on Improved Particle Swarm Algorithm. Liaoning University of Technology (2016). (in Chinese) Yao, J.: Optimal Scheduling of Micro Grid Based on Improved Particle Swarm Algorithm. Liaoning University of Technology (2016). (in Chinese)
19.
go back to reference Wang, J., Gao, H., Liu, Y., He, S., et al.: Distributed optimal operation of AC/DC hybrid distribution network considering the uncertainty of wind power. Proc. CSEE 40(2), 550–555 (2020). (in Chinese) Wang, J., Gao, H., Liu, Y., He, S., et al.: Distributed optimal operation of AC/DC hybrid distribution network considering the uncertainty of wind power. Proc. CSEE 40(2), 550–555 (2020). (in Chinese)
Metadata
Title
Micro Grid Scheduling Method Based on DAR-PSO Load Matching Strategy
Authors
Bo Li
Ruifeng Zhao
Jiangang Lu
Kuo Xin
Jinhua Huang
Guanqiang Lin
Jinrong Chen
Xueyue Pang
Copyright Year
2024
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-1447-6_10