ADAPTIVE CONTROL ELECTRICITY CONSUMPTION IN LOCAL MICROENERGY SYSTEM WITH POLYGENERATION BASED ON CLUSTERING OF A CONDITIONAL DYNAMIC TARIFF

Authors

DOI:

https://doi.org/10.20535/1813-5420.1.2023.275929

Keywords:

microgrid with traditional and renewable sources, clustering technology, conditional dynamic tariff, energy efficiency, energy management system.

Abstract

The paper is devoted the increasing the efficiency to use of traditional and renewable sources in microenergy systems. The development of combined power supply systems of local objects with the stochastic nature generation of renewable sources has led to a number of fundamental problems.

It is associated with the lack of a decision-making system regarding the ratio of power sources of electricity and the coordination of their generation levels with the electricity consumption schedule at the stage of designing such microgrids. The development of microenergy systems with polygeneration is conditioned by the possibility of technical and information support for the formation of the energy balance of local objects to minimize the costs of their electricity supply.

By applying elements of inductive system-analytical technologies, an approach to solving the problem of modeling dynamic scenarios of energy management in local microgrids with polygeneration based on determining the cost of electricity and adaptive coordination of the electricity consumption schedule in real time is proposed.

On the basis of statistical data, modeling was carried out and daily graphs of changes in the current cost of electricity with half-hour discreteness of the calculation were obtained, and the clustering procedure of the conditional dynamic tariff was showed.

The results can be applied in the evaluation of electricity pricing in microgrid energy management systems or the development of control systems for Smart grids with renewable sources.

References

G. E. Asimakopoulou, A. L. Dimeas, and N. D. Hatziargyriou, «Leader- follower strategies for energy management of multimicrogrids», IEEE Transactions on Smart Grid, vol. 4, no. 4, pp. 1909–1916, 2013.

Z.Wang, B.Chen, J.Wang, M.M.Begovic,and C.Chen, «Coordinatedenergy management of networked microgrids in distribution systems», IEEE Transactions on Smart Grid, vol. 6, no. 1, pp. 45–53, 2015.

A. Werth, N. Kitamura, I. Matsumoto, and K. Tanaka, «Evaluation of centralized and distributed microgrid topologies and comparison to Open Energy Systems (OES)», 15th International Conference on Environment and Electrical Engineering (EEEIC), pp. 492–497, IEEE, June 2015.

D. Gregoratti and J. Matamoros, «Distributed Energy Trading: The Multiple-Microgrid Case», IEEE Transactions on Industrial Electronics, vol. 62, no. 4, pp. 2551–2559, 2015.

H. Wang and J. Huang, «Bargaining-based energy trading market for interconnected microgrids», IEEE International Conference on Communications, vol. 2015–Septe, pp. 776–781, 2015.

H. S. V. S. Kumar Nunna and S. Doolla, «Energy management in microgrids using demand response and distributed storage - A multiagent approach», IEEE Transactions on Power Delivery, vol. 28, no. 2, pp. 939–947, 2013.

Strukturno-parametrychnyi syntez kombinovanykh system elektrozhyvlennia: kolektyvna monohrafiia / pid nauk. red. prof. V.V. Kapluna. – K.: KNUTD, 2017. – 189 s

Kaplun, V., Osypenko, V. About the intelligent decision making system for dynamic electricity pricing on renewable microgrids // Proceedings of the 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2017.

A. Dimeas and N. Hatziargyriou, «A multiagent system for microgrids», in IEEE Power Engineering Society General Meeting, 2004., vol. 2, pp. 55–58, IEEE, 2004.

A. Amato, B. D. Martino, M. Scialdone, and S. Venticinque, «A Negotiation Solution for Smart Grid Using a Fully Decentralized, P2P Approach», 2015 Ninth International Conference on Complex, Intelligent, and Software Intensive Systems, pp. 527–534, 2015.

H. Algarvio and F. Lopes , «Multi-agent Retail Energy Markets : Bilateral Contracting and Coalitions of End-use Customers», 12th International Conference on the European Energy Market (EEM), p. 5, 2015.

Kaplun V.V. Umovnyi dynamichnyi taryf yak kryterii efektyvnosti funktsionuvannia mikroenerhetychnykh system lokalnykh obiektiv / Visnyk KNUTD. Seriia: Tekhnichni nauky. - 2016. - № 3 (98). - S. 50-59.

Byuyul A., Tsefel P. SPSS: Iskusstvo obrabotki informatsii. Analiz statisticheskikh dannykh i vosstanovleniye skrytykh zakonov: per. s Nem. – SPb.: DyaSoftIuP. 2005. – 608 s. v tablitsakh i skhemakh. [Rus]

Published

2023-10-02

Issue

Section

ENERGY SYSTEMS AND COMPLEXES