Login Register Cart 0
Generic placeholder image

Recent Advances in Electrical & Electronic Engineering

Editor-in-Chief

ISSN (Print): 2352-0965
ISSN (Online): 2352-0973

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Research Article

Operation Optimization of DC Distribution Network with BSS Based on GA-WDO Hybrid Algorithm

Author(s): Yang Wang, Fengyun Chen*, Wen Xiao and Zhengming Li

Volume 13, Issue 7, 2020

Page: [1087 - 1096] Pages: 10

DOI: 10.2174/2352096513999200422142041

Price: $65

Abstract

Background: The high permeability of Distributed Generation (DG) and the development of DC load represented by electric vehicle Battery Swapping Station (BSS) pose new challenges to the reliable and economic operation of DC distribution system.

Methods: In order to improve the wind and solar absorption rate and the reliable operation of DC distribution network and coordinate the interests and demands of BSS and DC distribution company, the upper level takes the abandonment rate and the minimum variance of BSS charging and discharging net load as two objective functions, and the lower level takes the minimum operation cost of DC distribution network and BSS as the objective function. Secondly, this paper proposes a method that combines Genetic Algorithm (GA) with Wind-Driven Optimization algorithm (WDO). CPLEX and hybrid GA-WDO are used to solve the upper and lower models, respectively.

Results: Finally, an example shows that the proposed optimization model can reduce the operation cost of DC distribution network with BSS and improve the utilization rate of wind and light, which shows the rationality and effectiveness of the optimization model.

Conclusion: In this paper, considering the randomness and uncertainty of wind power generation and photovoltaic power generation, this paper establishes the upper objective function with the minimum abandonment rate and load variance and the lower objective function with the minimum operation cost of DC distribution network and BSS operators.

Keywords: DC distribution network, battery swapping station, distributed generation abatement, double-layer model, Geneticwind driving algorithms, operation optimization.

« Previous Next »
Graphical Abstract

[1]
N.H. van der Blij, and L.M. Ramirez-Elizondo, "A state-space approach to modelling DC distribution systems", IEEE Trans. Power Syst., vol. 33, no. 1, pp. 943-950, 2018.
[http://dx.doi.org/10.1109/TPWRS.2017.2691547]
[2]
L. Che, and M. Shahidehpour, "DC Microgrids: Economic operation and enhancement of resilience by hierarchical control", IEEE Trans. Smart Grid, vol. 5, no. 5, pp. 2517-2526, 2014 [J].
[http://dx.doi.org/10.1109/TSG.2014.2344024]
[3]
L. Zhang, and J. Liang, "Converting AC distribution lines to DC to increase transfer capacities and DG penetration", IEEE Trans. Smart Grid, vol. 10, pp. 1477-1487, 2019.
[http://dx.doi.org/10.1109/TSG.2017.2768392]
[4]
K. Palaniappan, and Veerapeneni. Swachala, ""Assessment of the feasibility of interconnected smart DC homes in a DC microgrid to reduce utility costs of low income households", In: IEEE Second International Conference on DC Microgrids (ICDCM),", 2017, pp. 467-473,
[5]
T. Hailu, L. Mackay, and M. Gajic, "From voltage stiff to voltage weak DC distribution grid: opportunities and challenges", In: IEEE 2nd Annual Southern Power Electrics Conference(SPEC), Aukland, New Zealand, 2016.
[6]
H. Doagou-Mojarrad, H. Rastegar, and G.B. Gharehpetian, "Probabilistic multi-objective HVDC/AC transmission expansion planning considering distant wind/solar farms", IET Sci. Measur. Technol., vol. 10, no. 2, pp. 140-149, 2016.
[http://dx.doi.org/10.1049/iet-smt.2015.0173]
[7]
M. Alam, and Kumar. Kuldeep, ""A study on DC microgrids voltages based on photovoltaic and fuel cell power generators", In: 7th International Conference on Renewable Energy Research and Applications (ICRERA),", 2018, pp. 643-648,
[8]
K. Murari, and N.P. Padhy, "A network-topology-based approach for the load-flow solution of ac–dc distribution system with distributed generations", IEEE Trans. Industr. Inform., vol. 15, pp. 1508-1520, 2019.
[http://dx.doi.org/10.1109/TII.2018.2852714]
[9]
J.J. Justo, F. Mwasilu, and L. Ju, "AC-microgrids ver-sus DC-microgrids with distributed energy resources: a review", Renew. Sustain. Energy Rev., vol. 31, no. 6, pp. 387-405, 2014. [J]
[10]
Y. Zheng, and Y.D. Zhao, "Electric Vehicle Battery Charging/Swap Stations in Distribution Systems: Comparison Study and Optimal Planning", IEEE Trans. Power Syst. , vol. 29, no. 1, pp. 221-229, 2014 [J].
[http://dx.doi.org/10.1109/TPWRS.2013.2278852]
[11]
Y. Wang, K. Lai, and F. Chen, Shadow price based co-ordination methods of microgrids and battery swapping stations. Appl. Energ, p. 253, 2019.
[http://dx.doi.org/10.1016/j.apenergy.2019.113510]
[12]
Tianyang. Zhang, and X. Chen, "A Monte Carlo Simulation Approach to Evaluate Service Capacities of EV Charging and Battery Swapping Stations", IEEE Transact. Industr. Informat., vol. 14, no. 9, pp. 3914-3923, 2018.
[13]
A. Maulik, and D. Debapriya, "Stability constrained economic operation of islanded droop-controlled DC microgrids", IEEE Transact. Sustainab. Energ., vol. 10, no. 2, pp. 569-578, 2019.
[14]
C. Li, and F. de Bosio, "Economic dispatch for operating cost minimization under real-time pricing in droop-controlled DC microgrid", IEEE J. Emerg. Sel. Top. Power Electron., vol. 5, no. 1, pp. 587-595, 2017.
[http://dx.doi.org/10.1109/JESTPE.2016.2634026]
[15]
W-J. Ma, and J. Wang, "Optimal operation mode selection for a DC microgrid", IEEE Trans. Smart Grid, vol. 7, no. 6, pp. 2624-2632, 2016.
[http://dx.doi.org/10.1109/TSG.2016.2516566]
[16]
S. Jung, and H. Lee, "Optimal operation plan of the online electric vehicle system through establishment of a DC distribution system", IEEE Trans. Power Electron., vol. 28, no. 12, pp. 5878-5889, 2013.
[http://dx.doi.org/10.1109/TPEL.2013.2251667]
[17]
R. Rao, X. Zhang, J. Xie, and L. Ju, "Optimizing electric vehicle users ’ charging behavior in battery swapping mode", Appl. Energy, vol. 155, pp. 547-559, 2015.
[http://dx.doi.org/10.1016/j.apenergy.2015.05.125]
[18]
M. Tabari, and A. Yazdani, "Stability of a DC distribution system for power system integration of plug-in hybrid electric vehicles", IEEE Trans. Smart Grid, vol. 5, no. 5, pp. 2564-2573, 2014.
[http://dx.doi.org/10.1109/TSG.2014.2331558]
[19]
M. Tabari, and A. Yazdani, "An energy management strategy for a DC distribution system for power system integration of plug-in electric vehicles", IEEE Trans. Smart Grid, vol. 7, no. 2, pp. 659-668, 2016.
[20]
M. Ban, M. Shahidehpour, J. Yu, and Z. Li, A cyber-physical energy management system for optimal sizing and operation of networked nanogrids with battery swapping stations, IEEE Trans Sustain Energy, vol. 10, pp. 491-502, 2019..
[http://dx.doi.org/10.1109/TSTE.2017.2788056]
[21]
S.H.C. Benjamin, and Y. Xu, Voltage balancing for bipolar DC distribution grids: A power flow based binary integer multi-objective optimization approach", IEEE Trans. Power Syst., vol. 34, no. 1, pp. 28-39, 2019..
[http://dx.doi.org/10.1109/TPWRS.2018.2866817]
[22]
V.L. Krishna, and M.K. Mahesh, "PSO based power sharing scheme for an islanded DC microgrid systemIn: IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017, pp. 392-397",
[23]
Y. Li, Z. Yang, G. Li, Y. Mu, D. Zhao, and C. Chen, "Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios : A bi-level programming approach via real-time pricing", Appl. Energy, vol. 232, pp. 54-68, 2018.
[http://dx.doi.org/10.1016/j.apenergy.2018.09.211]
[24]
J. Yan, M. Menghwar, E. Asghar, M. Kumar Panjwani, and Y. Liu, "Real-time energy management for a smart-community microgrid with battery swapping and renewables", Appl. Energy, vol. 238, pp. 180-194, 2019.
[http://dx.doi.org/10.1016/j.apenergy.2018.12.078]
[25]
T. Zhao, Y. Li, and X. Pan, "Real-time optimal energy and reserve management of electric vehicle fast charging station: Hierarchical game approach", IEEE Trans. Smart Grid , vol. 9, no. 5, pp. 5357-5370, 2018 [J].
[http://dx.doi.org/10.1109/TSG.2017.2687522]
[26]
K. Lai, M.S. Illindala, and K. Subramaniam, "A tri-level optimization model to mitigate coordinated attacks on electric power systems in a cyber-physical environment", Appl. Energy, vol. 235, pp. 204-218, 2019.
[http://dx.doi.org/10.1016/j.apenergy.2018.10.077 ]

Rights & Permissions Print Cite
Article Metrics
4
© 2024 Bentham Science Publishers | Privacy Policy