CONCEPTUAL MODEL OF A MICRONЕTWОRK WITH DISTRIBUTED ENERGY RESOURCES
Article_3 PDF

Keywords

mіcrоnеtwоrk
еlеctrіcіty cоnvеrtеr
dіstrіbutеd еnеrgy rеsоurcе
lоаd dіstrіbutіоn
cоntrоl systеm

How to Cite

Nerubatskyi, V. ., and D. . Hordiienko. “CONCEPTUAL MODEL OF A MICRONЕTWОRK WITH DISTRIBUTED ENERGY RESOURCES”. Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine, no. 66, Dec. 2023, p. 016, doi:10.15407/publishing2023.66.016.

Abstract

Mіcrоnеtwоrk configurations are considered regarding the form of electricity transmission and distribution. The structures of connected units of dіstrіbutеd еnеrgy rеsоurcеs under different operating modes are described, in which special attention is paid to the primary control elements of dіstrіbutеd еnеrgy rеsоurcеs units for the instantaneous balance of active and reactive power, as well as to dispatch control architectures for long-term energy management. The characteristics of static and dynamic load are studied, the simulation of which is carried out by building physical models of typical loads. The parameters of the system of instantaneous balances of active and reactive power in mіcrоnеtwоrks determined by instantaneous load tracking and load distribution between blocks of distributed energy resources are obtained. The circuit of resistive active filtering of blocks of distributed energy resources for active compensation of distorted loads is given. The presented method effectively suppresses harmonic voltage distortions at the output of blocks of dіstrіbutеd еnеrgy rеsоurcеs. Ref. 10, fig. 2.

https://doi.org/10.15407/publishing2023.66.016
Article_3 PDF

References

Natale N., Pilo F., Pisano G., Soma G. Market Participation of Distributed Energy Resources for offering Flexibility Services. 2020 17th International Conference on the European Energy Market (EEM). 2020. Pp. 1–5. DOI: https://doi.org/10.1109/EEM49802.2020.9221926

Nerubatskyi V., Plakhtii O., Hordiienko D., Khoruzhevskyi H. Study of energy parameters in alternative power source mіcrоnеtwоrk systems with multilevel inverters. International scientific journal «Industry 4.0». 2020. Vol. 5. Issue 3. Pp. 118–121.

Lakshmi G., Rubanenko O., Divya G., Lavanya V. Distribution Energy Generation using Renewable Energy Sources. 2020 IEEE India Council International Subsections Conference (INDISCON). 2020. Pp. 108–113. DOI: https://doi.org/10.1109/INDISCON50162.2020.00033

Plakhtii O., Nerubatskyi V., Hordiienko D. Research of Operating Modes and Features of Integration of Renewable Energy Sources into the Electric Power System. 2022 IEEE 8th International Conference on Energy Smart Systems (ESS). 2022. Pp. 133–138. DOI: https://doi.org/10.1109/ESS57819.2022.9969337

Razmi D., Babayomi O., Davari A., Rahimi T., Miao Y., Zhang Z. Review of Model Predictive Control of Distributed Energy Resources in Microgrids. Symmetry. 2022. Vol. 14. No 8. 1735. DOI: https://doi.org/10.3390/sym14081735

Nerubatskyi V., Plakhtii O., Hordiienko D. Adaptive Modulation Frequency Selection System in Power Active Filter. 2022 IEEE 8th International Conference on Energy Smart Systems (ESS). 2022. Pp. 341–346. DOI: https://doi.org/10.1109/ESS57819.2022.9969261

Liang X., Saaklayen M.A., Igder M. A., Shawon S,M., Faried S.O. Microgrid Formation and Service Restoration in Distribution Systems: a Review. 2021 IEEE Industry Applications Society Annual Meeting (IAS). 2021. Pp. 1–11. DOI: https://doi.org/10.1109/IAS48185.2021.9677046

Wu Q., Xue F., Wang X., Lu S., Han B., Piao L. Planning of Virtual Microgrids by Integrated Partition and DER Allocation. 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2). 2021. Pp. 66–71. DOI: https://doi.org/10.1109/EI252483.2021.9713071

Yao R., Lu X., Zhou H., Lai J. A Novel Category-Specific Pricing Strategy for Demand Response in Microgrids. IEEE Transactions on Sustainable Energy. 2022. Vol. 13. No 1. Pp. 182–195. DOI: https://doi.org/10.1109/TSTE.2021.3106329

Wu N., Wu X., Chen W., Guo M., Hou D. Development of Renewable Energy Consumption Strategies for Microgrids Based on CNN and ORB Image Matching Methods. 2021 IEEE Sustainable Power and Energy Conference (iSPEC). 2021. Pp. 3792–3797. DOI: https://doi.org/10.1109/iSPEC53008.2021.9736131

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Copyright (c) 2023 V.P. Nerubatskyi, D.A. Hordiienko

Downloads

Download data is not yet available.