Local power flow control
https://doi.org/10.30724/1998-9903-2023-25-5-74-82
Abstract
Show the prospects for the development of local electric networks with distributed generation. Recent changes in the electric power industry are forcing the revision of the requirements for both infrastructure and power facilities. Show that the connection of distributed generators and consumers of electrical energy to the network is fraught with certain difficulties. Solving the problem of high-quality and uninterrupted power supply to consumers requires a new approach associated with the use of modern Smart Grid technologies, equally related to energy and information technology. It is noted that for the implementation of such a large-scale task, the "road map" "Energynet" of the National Technology Initiative was developed, among the main directions of which are the digitalization of the infrastructure of distribution networks and the deep decentralization of electricity production. Consider, in accordance with the identified areas, the segments of the smart energy market, which include: reliable and flexible distribution grids, smart distributed energy and consumer services. Propose a solution to the problem using the example of a local low voltage microgrid with distributed generation. METHODS. The solution to the problem is proposed on the basis of creating a simulation model, with the help of which it is possible to perform a number of tests and obtain the optimal network mode within a given error area. implement various options for the structure of the microgrid, the number and type of generators, the load level. The structural diagram of the local network is proposed. RESULTS. The article describes the process of managing power flows between producers (local distributed sources) and consumers of electricity. This process is carried out through a single control center, which receives information about the state of the micro-grid objects - the level of electricity generation by generators and the level of the current load of consumers. Based on the results of information processing in the control center, a decision is made on the redistribution of power between objects. A scheme describing the dynamic process of power transfer for efficient resource management in the power distribution network is proposed. CONCLUSION. The considered power management algorithm is a simple implementation of classical load balancing, and at the same time allows for optimal energy distribution within a given error. Optimal, in this case, will be the state of the system, in which all distributed renewable energy sources are used in full to meet the needs of the local micro-network, while reducing to a minimum the consumption from the network. At the same time, it is also necessary to introduce corrections for the unevenness and instability of electricity generation by renewable energy sources.
About the Authors
L. M. ChetochnikovaRussian Federation
Chelyabinsk
N. I. Smolentsev
Russian Federation
Novosibirsk
N. V. Tomskich
Russian Federation
Chelyabinsk
D. A. Gimgina
Russian Federation
Chelyabinsk
D. A. Lavrentieva
Russian Federation
Chelyabinsk
References
1. Kobets BB, Volkova I.O. Innovative development of the electric power industry based on the Smart Grid concept. - M.: IAC Energiya. - 2010.-- 208 p.
2. Khokhlov A., Melnikov Yu., Veselov F., Kholkin D., Datsko K. Distributed energy in Russia: development potential. - M.: Energy Center of the Moscow School of Management "Skolkovo", 2019. - 89 p.
3. Eroshenko S. A., Karpenko A. A., Kokin S. E., Pazderin A. V. Scientific problems of distributed generation // Izvestiya vuzov: Problems of power engineering, 2010. No. 11–12. S. 126-133.
4. Khokhlov A. Development of distributed generation will lead to dramatic changes in the architecture of the power industry in Russia. Energy and industry of Russia. 2017, no. 11
5. "Roadmap" "ENERGINET" of the National Technology Initiative. https://minenergo.gov.ru/node/8916 (date of circulation 03/12/2021).
6. Tyagunov MG, Vikulov AN Renewable energy in distributed power systems. Moscow Power Engineering Institute (NRU) SOK №7. 2018 - Access mode: https://www.c-o-k.ru/articles/vozobnovlyaemaya-energetika-v-raspredelennyh-energosistemah (date of treatment 02/08/2021).
7. Digital transition in the electric power industry of Russia: expert and analytical report. / under total. ed. V.N. Knyaginin and D.V. Kholkina. M., CSR, 2017.
8. Khovalova T.V., Zholnerchik S.S. Effects of introducing smart power grids. Strategic decisions and risk management. 2018, (2): S. 92-101.
9. Integration of Distributed Energy Resources in Power Systems: Implementation, Operation, and Control. / Edited by Toshihisa Funabashi. - Elsevier Inc., 2016.-- 313 p.
10. Planning for the Renewable Future: Long-term modeling and tools to expand variable renewable power in emerging economies, International Renewable Energy Agency, Abu Dhabi. 2017.
11. Kubarkov Yu. P., Chivenkov AI, Vikhorev NN, Shalukho A. V, Lipuzhin IA Method of regulating the current of the power line in the load node. Samara State Technical University Bulletin. Series: technical sciences. 2019. No. 1 (61). S. 128-138
12. Smolentsev N.I., Kondrin S.A. Superconducting electrokinetic energy storage device for local electrical networks // News of higher educational institutions. Energy problems. 2017, Vol. 19, No. 3-4. S.53-60.
13. Chetoshnikova L.M., Smolentsev N.I., Chetoshnikov S.A., Degtyarev D.V. Control system in the local low voltage electrical network. Polzunovsky Bulletin, N1, 2015, pp. 105-107.
14. R. Akella, F. Meng, D. Ditch, B. McMillin, M. Crow. Distributed Power Balancing for the FREEDM System. 2010 First IEEE International Conference on Smart Grid Communication, 594 p.
15. Arakelov, V. E. Methodical issues of energy saving / V. E. Arakelov, A. I. Kremer. - M.: Energoatomizdat, 1990.-- 192 p.
Review
For citations:
Chetochnikova L.M., Smolentsev N.I., Tomskich N.V., Gimgina D.A., Lavrentieva D.A. Local power flow control. Power engineering: research, equipment, technology. 2023;25(5):74-82. (In Russ.) https://doi.org/10.30724/1998-9903-2023-25-5-74-82