Cited by 19Optimal Power Flow DistributionSmart Grid Energy ManagementElectric Power System Optimization

A comprehensive multi-period optimal power flow framework for smart LV networks

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Avramidis, Iason I., Capitanescu, Florin, Deconinck, Geert·2021·IEEE Transactions on Power Systems

Abstract

This paper presents an extensive multi-period optimal power flow framework, with new modelling elements, for smart LV distribution systems that rely on residential flexibility for combating operational issues. A detailed performance assessment of different setups is performed, including: ZIP flexible loads (FLs), varying degrees of controllability of conventional residential devices, such as electric vehicles (EVs) or photovoltaics (PVs), by the distribution system operator (DSO) (adhering to customer-dependent restrictions) and full exploitation of the capabilities offered by state-of-the-art inverter technologies. A comprehensive model-dependent impact assessment is performed, including phase imbalances, neutral and ground wires and load dependencies. The de-congestion potential of common residential devices is highlighted, analyzing capabilities such as active power redistribution, reactive power support and phase balancing. Said potential is explored on setups where the DSO can make only partial adjustments on customer profiles, rather than (as is common) deciding on the full profiles. The extensive analysis can be used by DSOs and researchers alike to make informed decisions on the required levels of modelling detail, the connected devices and the degrees of controlability. The formulation is computationally efficient, scaling well to medium-size systems, and can serve as an excellent basis for building more tractable or more targeted approaches.

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Research works printed but not linked: 30

  1. H. Farhangi. "The Path of the Smart Grid". IEEE Power and Energy Mag., 8(1):18-20, 2010.
  2. A. Keane, L. Ochoa, C. Borges, et al. "State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimiza- tion". IEEE Trans. Power Syst., 28(2):1493-1502, 2013.
  3. I.I. Avramidis, V.A. Evangelopoulos, P.S. Georgilakis, and N. Hatziar- gyriou. "Demand side flexibility schemes for facilitating the high penetration of residential distributed energy resources". IET Gener. Transm. Distr., 12(18):4079-4088, 2018.
  4. S. Gill, et al. "Dynamic Optimal Power Flow for Active Distribution Networks". IEEE Trans. Power Syst., 29(1):121-131, 2014.
  5. M.J.E. Alam, K. M. Muttaqi, and D. Sutanto. "A Three-Phase Power Flow Approach for Integrated 3-Wire MV and 4-Wire Multigrounded LV Networks With Rooftop Solar PV". IEEE Trans. Power Systems, 28(2):1728-1737, 2013.
  6. S.R. Shukla, S. Paudyal, and M.R. Almassalkhi. "Efficient Distribution System Optimal Power Flow With Discrete Control of Load Tap Changers". IEEE Trans. Power Systems, 34(4):2970-2979, 2019.
  7. F. Capitanescu, L.F. Ochoa, H. Margossian, and N.D. Hatziargyriou. "Assessing the Potential of Network Reconfiguration to Improve Dis- tributed Generation Hosting Capacity in Active Distribution Systems". IEEE Trans. Power Systems, 30(1):346-356, 2015.
  8. S. Paudyal, C. Cañizares, and K. Bhattacharya. "Optimal Operation of Distribution Feeders in Smart Grids". IEEE Trans. Industrial Electronics, 58(10):4495 -4503, 2011.
  9. L. Gutierrez-Lagos and L.F. Ochoa. "OPF-based CVR Operation in PV-Rich MV-LV Distribution Networks". IEEE Trans. Power Systems, 34(4):2778 -2789, 2019.
  10. F. Marra, G.Y. Yang, Y.T. Fawzy, et al. "Improvement of Local Voltage in Feeders With Photovoltaic Using Electric Vehicles". IEEE Trans. Power Systems, 28(3):3515-3516, 2013.
  11. A. O'Connell, D. Flynn, and A. Keane. "Rolling Multi-Period Optimiza- tion to Control Electric Vehicle Charging in Distribution Networks". IEEE Trans. Power Systems, 29(1):340-348, 2014.
  12. S. Weckx, C. Gonzalez, and J. Driesen. "Combined Central and Local Active and Reactive Power Control of PV Inverters". IEEE Trans. Sustainable Energy, 5(3):776-784, 2014.
  13. X. Su, M.A.S. Masoum, and P.J. Wolfs. "Optimal PV Inverter Reactive Power Control and Real Power Curtailment to Improve Performance of Unbalanced Four-Wire LV Distribution Networks". IEEE Trans. Sustainable Energy, 5(3):967-977, 2014.
  14. S. Weckx and J. Driesen. "Load Balancing with EV Chargers and PV Inverters in Unbalanced Distribution Grids". IEEE Trans. Sustainable Energy, 6(2):635 -643, 2015.
  15. J.D. Watson, N.R. Watson, and I. Lestas. "Optimized Dispatch of Energy Storage Systems in Unbalanced Distribution Networks". IEEE Trans. Sustainable Energy, 9(2):639 -650, 2017.
  16. P. Fortenbacher, J.L. Mathieu, and G. Andersson. "Modeling and Optimal Operation of Distributed Battery Storage in Low Voltage Grids". IEEE Trans. Power Systems, 32(6):4340-4350, 2017.
  17. Q. Zhang, K. Dehganpour, and Z. Wang. "Distributed CVR in Unbal- anced Distribution Systems with PV Penetration". IEEE Trans. Smart Grid, 10(5):5308-5319, 2019.
  18. M.D. Sankur, R. Dobbe, A. von Meier, and D.B. Arnold. "Model- Free Optimal Voltage Phasor Regulation in Unbalanced Distribution Systems". IEEE Trans. Smart Grid, 11(1):884-894, 2020.
  19. S. Hossan, H.M.M. Maruf, and B. Chowdhury. "Comparison of the ZIP load model and the exponential load model for CVR factor evaluation". In IEEE Power & Energy Society General Meeting, July, 2017.
  20. C. Zhao, E. Dall'Anese, and S. Low. "Optimal Power Flow in Multiphase Radial Networks with Delta Connections". In IREP Bulk Power Systems Dynamics and Control Symposium, August, 2017.
  21. M. Farivar and S. Low. "Branch Flow Model: Relaxations and Convexification-Part I". IEEE Trans. Power Systems, 28(3):2554 -2564, 2013.
  22. X. Chen, et al. "Robust Capacity Assessment of Distributed Generation in Unbalanced Distribution Networks Incorporating ANM Techniques". IEEE Trans. Sustainable Energy, 9(2):651 -663, 2018.
  23. B.A. Robbins and A.D. Dominguez-Garcia. "Optimal Reactive Power Dispatch for Voltage Regulation in Unbalanced Distribution Systems". IEEE Trans. Power Systems, 31(4):2903 -2913, 2016.
  24. M. Usman, A. Cervi, M. Coppo, et al. "Centralized OPF in Unbal- anced Multi-Phase Neutral Equipped Distribution Networks Hosting ZIP Loads". IEEE Access, 7:177890 -177908, 2019.
  25. J.C. Lopez, J.F. Franco, J. Rider, and R. Romero. "Optimal Restora- tion/Maintenance Switching Sequence of Unbalanced three-Phase Dis- tribution Systems". IEEE Trans. Smart Grid, 9(6):6058 -6068, 2018.
  26. Thomas Allen Short. Electric Power Distribution Handbook, 2nd Edition. CRC Press, 2014.
  27. J. Wang, E.Y. Ucer, S. Paudyal, et al. "Distribution Grid Voltage Support with Four Quadrant Control of Electric Vehicle Chargers". In IEEE PES General Meeting, August, 2020.
  28. R.M Ciric, A. Padilha, and L.F. Ochoa. "Power Flow in Four-Wire Distribution Networks-General Approach". IEEE Trans. Power Systems, 18(4):1283 -1290, 2003.
  29. A. Wächter and L. T. Biegler. "On the Implementation of a Primal-Dual Interior Point Filter Line Search Algorithm for Large-Scale Nonlinear Programming". Mathematical Programming, 106(1):25-57, 2006.
  30. R.H. Byrd, J. Nocedal, and R.A. Waltz. "KNITRO: An integrated pack- age for nonlinear optimization". Large-Scale Nonlinear Optimization, vol. 83, Springer:35-59, 2006.

Cited by

Sorted by citations

Authors
Avramidis, I. I., Capitanescu, F., & Deconinck, G.
Affiliations
  • Luxembourg Institute of Science and Technology (LU)
  • KU Leuven (BE)
Venue
IEEE Transactions on Power Systems
Published
2021-07
Volume
36
Issue
4
Pages
3029-3041
ISSN
  • 0885-8950 (ISSN-L)
  • 1558-0679
OpenAlex
W3090531785
Cited by
19
References
2
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2023: 4 · 2022: 5 · 2021: 6
FWCI
1.29
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Power Systems (publishedVersion, cc-by)
  • arXiv (Cornell University) (submittedVersion)
  • Lirias (KU Leuven) (submittedVersion, other-oa)
  • arXiv (Cornell University)
Funders
Luxembourg National Research Fund (C18/SR/12676686)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
Keywords
multi-period optimal power flow, low-voltage distribution networks, smart grid, ZIP load model, electric vehicles, photovoltaics, inverter technology, phase imbalance, load dependence, distribution system operators, congestion reduction, reactive power support

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