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Optimal generation rescheduling for meshed AC/HIS grids with multi-terminal voltage source converter high voltage direct current and battery energy storage system

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  • Kim, H.Y.
  • Kim, M.K.

Abstract

A network topology is required to solve the scheduling problems of power systems. These systems suffer from many problems such as limited generation resources, changing fuel prices, and inconsistent load demand. This paper proposes an optimal generation rescheduling method for a hybrid integrated system (HIS) that employ multi-terminal voltage source converter high voltage direct current (VSC-MTDC) systems and a battery energy storage system (BESS)-based voltage droop control with a power dead-band and voltage limits. The proposed process is based on the HIS station limits and charging/discharging cycles, and can be used to improve the HIS performance. An optimal power flow (OPF) problem is formulated by considering the grid code constraints within VSC-MTDC and BESS. Using Benders' decomposition, the proposed approach is formulated as a master problem and sub-problems, and is intended to enhance the overall operational efficiency by leveraging parallel processing. Moreover, the charging/discharging strategy employs an operational HIS algorithm over a 24 h demand profile. This strategy takes into account the actual demand conditions so that the optimal rescheduling algorithm can be implemented in a realistic manner. The results of simulations on a modified IEEE–39 bus system demonstrate and confirm the applicability, effectiveness, and suitability of the proposed approach.

Suggested Citation

  • Kim, H.Y. & Kim, M.K., 2017. "Optimal generation rescheduling for meshed AC/HIS grids with multi-terminal voltage source converter high voltage direct current and battery energy storage system," Energy, Elsevier, vol. 119(C), pages 309-321.
    • Handle: RePEc:eee:energy:v:119:y:2017:i:c:p:309-321
    DOI: 10.1016/j.energy.2016.11.108
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    1. Osório, G.J. & Lujano-Rojas, J.M. & Matias, J.C.O. & Catalão, J.P.S., 2015. "A probabilistic approach to solve the economic dispatch problem with intermittent renewable energy sources," Energy, Elsevier, vol. 82(C), pages 949-959.
    2. Zhongfu Tan & Huanhuan Li & Liwei Ju & Yihang Song, 2014. "An Optimization Model for Large–Scale Wind Power Grid Connection Considering Demand Response and Energy Storage Systems," Energies, MDPI, vol. 7(11), pages 1-23, November.
    3. Hemmati, Reza & Saboori, Hedayat & Saboori, Saeid, 2016. "Assessing wind uncertainty impact on short term operation scheduling of coordinated energy storage systems and thermal units," Renewable Energy, Elsevier, vol. 95(C), pages 74-84.
    4. Humpert, Christof, 2012. "Long distance transmission systems for the future electricity supply – Analysis of possibilities and restrictions," Energy, Elsevier, vol. 48(1), pages 278-283.
    5. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    6. Higgins, P. & Foley, A.M. & Douglas, R. & Li, K., 2014. "Impact of offshore wind power forecast error in a carbon constraint electricity market," Energy, Elsevier, vol. 76(C), pages 187-197.
    7. Kim, M.K. & Park, J.K. & Nam, Y.W., 2011. "Market-clearing for pricing system security based on voltage stability criteria," Energy, Elsevier, vol. 36(2), pages 1255-1264.
    8. De-Prada-Gil, Mikel & Díaz-González, Francisco & Gomis-Bellmunt, Oriol & Sumper, Andreas, 2015. "DFIG-based offshore wind power plant connected to a single VSC-HVDC operated at variable frequency: Energy yield assessment," Energy, Elsevier, vol. 86(C), pages 311-322.
    9. Taghavi, Reza & Seifi, Ali Reza & Samet, Haidar, 2015. "Stochastic reactive power dispatch in hybrid power system with intermittent wind power generation," Energy, Elsevier, vol. 89(C), pages 511-518.
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    Cited by:

    1. Raza, Muhammad & Collados, Carlos & Gomis-Bellmunt, Oriol, 2017. "Reactive power management in an offshore AC network having multiple voltage source converters," Applied Energy, Elsevier, vol. 206(C), pages 793-803.
    2. Li, Yang & Li, Yahui & Li, Guoqing & Zhao, Dongbo & Chen, Chen, 2018. "Two-stage multi-objective OPF for AC/DC grids with VSC-HVDC: Incorporating decisions analysis into optimization process," Energy, Elsevier, vol. 147(C), pages 286-296.
    3. Yong-Rae Lee & Hyung-Joon Kim & Mun-Kyeom Kim, 2021. "Optimal Operation Scheduling Considering Cycle Aging of Battery Energy Storage Systems on Stochastic Unit Commitments in Microgrids," Energies, MDPI, vol. 14(2), pages 1-21, January.

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