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Scheduling of Electricity Storage for Peak Shaving with Minimal Device Wear

Author

Listed:
  • Thijs Van der Klauw

    (Department of EEMCS, Univeristy of Twente, Drienerlolaan 5, 7522NB Enschede, The Netherlands)

  • Johann L. Hurink

    (Department of EEMCS, Univeristy of Twente, Drienerlolaan 5, 7522NB Enschede, The Netherlands)

  • Gerard J. M. Smit

    (Department of EEMCS, Univeristy of Twente, Drienerlolaan 5, 7522NB Enschede, The Netherlands)

Abstract

In this work, we investigate scheduling problems for electrical energy storage systems and formulate an algorithm that finds an optimal solution with minimal charging cycles in the case of a single device. For the considered problems, the storage system is used to reduce the peaks of the production and consumption within (part of) the electricity distribution grid, while minimizing device wear. The presented mathematical model of the storage systems captures the general characteristic of electrical energy storage devices while omitting the details of the specific technology used to store the energy. In this way, the model can be applied to a wide range of settings. Within the model, the wear of the storage devices is modeled by either: (1) the total energy throughput; or (2) the number of switches between charging and discharging, the so-called charging cycles. For the first case, where the energy throughput determines the device wear, a linear programming formulation is given. For the case where charging cycles are considered, an NP-hardness proof is given for instances with multiple storage devices. Furthermore, several observations about the structure of the problem are given when considering a single device. Using these observations, we develop a polynomial time algorithm of low complexity that determines an optimal solution. Furthermore, the solutions produced by this algorithm also minimize the throughput, next to the charging cycles, of the device. Due to the low complexity, the algorithm can be applied in various decentralized smart grid applications within future electricity distribution grids.

Suggested Citation

  • Thijs Van der Klauw & Johann L. Hurink & Gerard J. M. Smit, 2016. "Scheduling of Electricity Storage for Peak Shaving with Minimal Device Wear," Energies, MDPI, vol. 9(6), pages 1-19, June.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:6:p:465-:d:72184
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    References listed on IDEAS

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    1. Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim, 2015. "Application of Model Predictive Control to BESS for Microgrid Control," Energies, MDPI, vol. 8(8), pages 1-16, August.
    2. Bosman, M.G.C. & Bakker, V. & Molderink, A. & Hurink, J.L. & Smit, G.J.M., 2012. "Planning the production of a fleet of domestic combined heat and power generators," European Journal of Operational Research, Elsevier, vol. 216(1), pages 140-151.
    3. Evans, Annette & Strezov, Vladimir & Evans, Tim J., 2012. "Assessment of utility energy storage options for increased renewable energy penetration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4141-4147.
    4. Matthew Rowe & Timur Yunusov & Stephen Haben & William Holderbaum & Ben Potter, 2014. "The Real-Time Optimisation of DNO Owned Storage Devices on the LV Network for Peak Reduction," Energies, MDPI, vol. 7(6), pages 1-24, May.
    5. Ferreira, Helder Lopes & Garde, Raquel & Fulli, Gianluca & Kling, Wil & Lopes, Joao Pecas, 2013. "Characterisation of electrical energy storage technologies," Energy, Elsevier, vol. 53(C), pages 288-298.
    6. Javier Marcos & Iñigo De la Parra & Miguel García & Luis Marroyo, 2014. "Control Strategies to Smooth Short-Term Power Fluctuations in Large Photovoltaic Plants Using Battery Storage Systems," Energies, MDPI, vol. 7(10), pages 1-27, October.
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    1. Uddin, Moslem & Romlie, Mohd Fakhizan & Abdullah, Mohd Faris & Abd Halim, Syahirah & Abu Bakar, Ab Halim & Chia Kwang, Tan, 2018. "A review on peak load shaving strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3323-3332.

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