MATHEMATICAL MODEL OF A FLEXIBLE MICRO GRID INTEGRATED INTO THE POWER SYSTEM
ARTICLE_8_PDF

Keywords

Micro Grid
power system flexibility
market decomposition
mathematical model
Unit commitment problem Мікро-мережа
гнучкість енергосистеми
декомпозиція ринку
математична модель
проблема завантаження устаткування

How to Cite

[1]
Saukh, S. and Borysenko, A. 2023. MATHEMATICAL MODEL OF A FLEXIBLE MICRO GRID INTEGRATED INTO THE POWER SYSTEM. Tekhnichna Elektrodynamika. 2 (Feb. 2023), 061. DOI:https://doi.org/10.15407/techned2023.02.061.

Abstract

The functioning of local electric networks ('Micro Grid') is described, which due to the development of Smart Network technologies, distributed generation and electricity storage systems received an incentive for development. The structural decomposition of the market model is suggested for the 'Top-Level Market' and 'Micro Grid' local systems to reflect the interaction of the 'Micro Grid' with the wholesale electricity market. Load regulation instruments are described, which ensure the flexibility of the Micro Grid. A mathematical model of the 'Micro Grid' system is proposed, which formulated as a Unit commitment problem. The computational experiment shows the adequacy of the results of modelling of 'Micro Grid' systems. References 9, figures 4, tables 2.

https://doi.org/10.15407/techned2023.02.061
ARTICLE_8_PDF

References

Saukh S., Borysenko A. Representation of Transmission and Distribution Networks in the Mathematical Model of the Electricity Market Equilibrium. Proceedings of the 2019 IEEE 20th International Conference on Computational Problems of Electrical Engineering (CPEE 2019). Lviv, Ukraine, 15-18 September 2019. Pp. 182-185. DOI: https://doi.org/10.1109/CPEE47179.2019.8949116.

Bertolini M., Buso M., Greco L. Competition in smart distribution grids. Energy Policy. 2020. Vol. 145. Pp. 1-8. DOI: https://doi.org/10.1016/j.enpol.2020.111729.

Dolanyi M., Bruninx K., Deconinck G., Delarue E. Strategic Operation of Storage in Oligopolistic Electricity Markets: an EPEC Approach. TME working paper – Energy and Environment. 2019. 7 p. URL: http://www.mech.kuleuven.be/tme/research/ (accessed at 15.10.2022).

Wang Y., Saad W., Han Z., Poor H.V., Başar T. A Game-Theoretic Approach to Energy Trading in the Smart Grid. IEEE Trans. Smart Grid. 2014. Vol. 5. No 3. Pp. 1439-1450. DOI: https://doi.org/10.1109/TSG.2013.2284664.

Saukh S., Borysenko A. Modelling of market equilibrium on the basis of Smart Grid market system decomposition. Proceedings of the 2020 IEEE 7th International Conference on Energy Smart Systems (ESS 2020). Kyiv, Ukraine, 12-14 May 2020. Pp. 358-362. DOI: https://doi.org/10.1109/ESS50319.2020.9160333.

Arroyo J.M., Conejo A.J. Modeling of Start-Up and Shut-Down Power Trajectories of Thermal Units. IEEE Trans. Power Syst. 2004. Vol. 19. No 3. Pp. 1562-1568. DOI: https://doi.org/10.1109/TPWRS.2004.831654.

Carrión M., Arroyo J.M. A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem. IEEE Trans. Power Syst. 2006. Vol. 21. No 3. Pp. 1371-1378. DOI: https://doi.org/10.1109/TPWRS.2006.876672.

Soroudi A. Power System Optimization Modeling in GAMS. Springer, 2017. 295 p. DOI: https://doi.org/10.1007/978-3-319-62350-4.

Bergh K., Bruninx K., Delarue E., D’haeseleer W. LUSYM: a unit commitment model formulated as a mixed-integer linear program. KULeuven Energy Institute, 2016. 15 p.

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