Coordinated management of distributed energy in a microgrid: an integration approach in modern construction
How to cite
Abstract
The modern paradigm of energy transformation of the construction sector requires a comprehensive rethinking of approaches to the organization of energy supply facilities. Microgrids with distributed energy resources represent a promising solution, but their effectiveness critically depends on the coordination of energy flow management. The present study is aimed at developing an integrated system for coordinated management of distributed energy in microgrids of construction facilities, taking into account the stochastic nature of generation and consumption. Based on the combined use of methods of predictive modeling, multi-agent systems and adaptive optimization, an algorithmic complex has been developed that ensures a balance between energy efficiency, economic performance and reliability of energy supply. Empirical validation was carried out on the data of 18 construction sites of various functional purposes in the period 2021-2023. The results demonstrate a 27.4% increase in energy efficiency with the integration of renewable energy sources, a 31.6% reduction in peak loads and a 22.8% reduction in operating costs compared to traditional management methods. The proposed approach ensures the stability of the power system under generation fluctuations with a stability coefficient of 0.93, which is significantly superior to existing solutions. The theoretical significance of the research lies in the development of a mathematical apparatus for describing energy transactions in microgrids of construction facilities, and the practical value lies in the creation of adaptive coordination algorithms applicable in various climatic and operational conditions.
Keywords
References
Alam M.N., Chakrabarti S., Ghosh A. Networked microgrids: State-of-the-art and future perspectives // IEEE transactions on industrial informatics. 2019. № 15(3). рр. 1238-1250.
Dou C.X., Liu B. Multi-agent based hierarchical hybrid control for smart microgrid. IEEE transactions on smart grid. 2013. № 4(2). рр. 771-778.
Guerrero J.M., Vasquez J.C., Matas J., de Vicuña L.G., Castilla M. Hierarchical control of droop-controlled AC and DC microgrids – A general approach toward standardization // IEEE Transactions on Industrial Electronics. 2011. № 58(1). рр. 158-172.
Hatziargyriou N., Asano H., Iravani R., Marnay C. Microgrids // IEEE power and energy magazine. 2007. № 5(4). рр. 78-94.
Lasseter R.H. MicroGrids. IEEE Power Engineering Society Winter Meeting // Mat. of the conf. 2002. Vol. 1. pp. 305-308.
Logenthiran T., Srinivasan D., Khambadkone A.M. Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system // Electric power systems research. 2011. № 81(1). рр. 138-148.
Marzband M., Sumper A., Domínguez-García J.L., Gumara-Ferret R. Experimental validation of a real-time energy management system for microgrids in islanded mode using a local day-ahead electricity market and MINLP // Energy conversion and management. 2013. № 76. рр. 314-322.
Olivares D.E., Mehrizi-Sani A., Etemadi A.H., Cañizares C.A., Iravani R., Kazerani M. Trends in microgrid control // IEEE transactions on smart grid. 2014. № 5(4). рр. 1905-1919.
Palma-Behnke R., Benavides C., Lanas F., Severino B., Reyes L., Llanos J., Sáez D. A microgrid energy management system based on the rolling horizon strategy // IEEE transactions on smart grid. 2013. № 4(2). рр. 996-1006.
Parhizi S., Lotfi H., Khodaei A., Bahramirad S. State of the art in research on microgrids: A review // IEEE access. 2015. № 3. рр. 890-925.
Parisio A., Rikos E., Glielmo L. A model predictive control approach to microgrid operation optimization // IEEE transactions on control systems technology. 2014. № 22(5). рр. 1813-1827.
Wang Z., Chen B., Wang J., Begovic M.M., Chen C. Coordinated energy management of networked microgrids in distribution systems // IEEE transactions on smart grid. 2015. № 6(1). рр. 45-53.
Wu X., Jiang X., Shen J., Wu P., Wen C., Shao W. Multi-agent system design and evaluation for collaborative wireless power transfer in solar power distribution system // Applied еnergy. 2020. № 262. рр. 114-506.
Wu Y., Lau V.K.N., Tsang D.H.K., Qian L.P., Meng L. Optimal energy scheduling for residential smart grid with centralized renewable energy source // IEEE systems journal. 2014. № 8(2). рр. 562-576.
Zhang Y., Gatsis N., Giannakis G.B. Robust energy management for microgrids with high-penetration renewables // IEEE transactions on sustainable energy. 2013. № 4(4). рр. 944-953