Design of daily load profiles in environmentally friendly commercial and industrial microgrids
https://doi.org/10.21285/1814-3520-2024-1-72-83
EDN: PAGGRY
Abstract
The purpose of the study is to solve the problem of design of daily load profiles for optimal control of an environmentally friendly commercial and industrial microgrid (CIM) (power is generated only by renewable energy sources) connected to the power system by a power transmission line. This goal is achieved by adjusting the planned daily load profiles of consumers located on the territory of the CIM. The adjustment means shifting power consumption to another time of the day in question (power consumption is delayed). The problem of the delayed power allocation is represented as an optimization multiple knapsack problem that adapts to the problem-solving process. The proposed algorithm was tested on a 6-node system according to the scenario that involved adjustment of the load profile in the CIM to ensure that the power flow from the power system remains within specified limits. Compliance with the limits guarantees uninterrupted power supply from the power system, which is a fundamental requirement when developing load profiles. Experiments were carried out to evaluate the delivery of uninterrupted power supply to CIM consumers depending on the initial data. The findings indicate that the disruptions in power supply to CIM consumers are completely eliminated if the load can be divided to shift it to other hours of the day and when the load of 0.151 MW is disconnected in operating state 7. The total load should be divided into at least three parts. Disconnection of 0.151 MW is performed to prevent disconnection of the commercial and industrial microgrid from the power system, which would result in a power deficit of 4.652 MW.
About the Authors
A. M. Glazunova
Melentiev Energy Systems Institute SB RAS
Russian Federation
Russian Federation
Anna M. Glazunova, Dr. Sci. (Eng.), Associate Professor, Senior Researcher of the Department of Electric Power Systems
130, Lermontov St., Irkutsk 664033
S. E. Sieemshchikov
Irkutsk State Transport University
Russian Federation
Russian Federation
Sergei E. Sieemshchikov, Cand. Sci. (Eng.), Associate Professor, Associate Professor of the Department of Technosphere Safety
15, Chernyshevsky St., Irkutsk 664074
References
1. Rogalev N.D., Molodyuk V.V., Isamuhamedov Ya.Sh. Active energy complex: step up requirements for reliability. In: Metodicheskie voprosy issledovaniya nadezhnosti bol’shih sistem energetiki: materialy 90-go zasedaniya Mezhdunarodnogo nauchnogo seminara imeni Yu.N. Rudenko = Methodological issues in studying large energy systems reliability: materials of the 90th meeting of the International Scientific Seminar named after Yu.N. Rudenko. 1–7 July 2018, Irkutsk. Irkutsk: Melentiev Energy Systems Institute of Siberian Branch of Russian Academy of Sciences; 2018, vol. 1-69, р. 9-17. (In Russ.). EDN: IPRDCP.
2. Datsko K.A. Active energy complexes. Energeticheskaya politika. 2020;6:64-75. (In Russ.). https://doi.org/10.46920/2409-5516_2020_6148_64. EDN: KEVGJS.
3. Chen Chen, Wang Jianhui, Kishore S. A distributed direct load control approach for large-scale residential demand response. IEEE Transactions on Power Systems. 2014;29(5):2219-2228. https://doi.org/10.1109/TPWRS.2014.2307474.
4. Mollah K., Nair N.K.C., Rayudu R.K. Demand response an alternative solution to prevent load shedding triggering. EAI Endorsed Transactions on Energy Web. 2014;1(3):e2. https://doi.org/10.4108/ew.1.3.e2.
5. Conejo A.J., Morales J.M., Baringo L. Real-time demand response model. IEEE Transactions on Smart Grid. 2010;1(3):236-242. https://doi.org/10.1109/TSG.2010.2078843.
6. Gils H.C. Assessment of the theoretical demand response potential in Europe. Energy. 2014;67:1-18. https://doi.org/10.1016/j.energy.2014.02.019.
7. Silva B.N., Khan M., Han K. Futuristic sustainable energy management in smart environments: а review of peak load shaving and demand response strategies, challenges, and opportunities. Sustainability. 2020;12(14):5561. https://doi.org/10.3390/su12145561.
8. Meyabadi A.F., Deihimi M.H. A review of demand-side management: reconsidering theoretical framework. Renewable and Sustainable Energy. 2017;80:367-379. https://doi.org/10.1016/j.rser.2017.05.207.
9. Stennikov V.A., Barahtenko E.A., Sokolov D.V., Shelekhova V.B. Active demand-side management. Izvestiya vysshih uchebnyh zavedenij. Problemy energetiki = Power Engineering: Research, Equipment, Technology. 2017;19(11-12):88- 100. (In Russ.). https://doi.org/10.30724/1998-9903-2017-19-11-12-88-100. EDN: YTZTWX.
10. Zyryanov V.M., Kir’yanova N.G., Korotkov I.Yu. Energy storage systems: Russian and international experience. Energeticheskaya politika = Energy Policy. 2020;6(148):76-86. (In Russ.). https://doi.org/10.46920/2409-5516_2020_6148_76. EDN: YBOUHF.
11. Kalkhambkar V., Kumar R., Bhakar R. Energy loss minimization through peak shaving using energy storage. Perspectives in Science. 2016;8:162-165. https://doi.org/10.1016/j.pisc.2016.04.022.
12. Gutiérrez-Oliva D., Colmenar-Santos A., Rosales-Asensio E. A review of the state of the art of industrial microgrids based on renewable energy. Electronics. 2022;11(7):1002. https://doi.org/10.3390/electronics11071002.
13. Feng Wei, Jin Ming, Liu Xu, Bao Yi, Marnay Chris, Yao Cheng, Yu Jiancheng. A review of microgrid development in the United States – а decade of progress on policies, demonstrations, controls, and software tools. Energy. 2018;228:1656- 1668. https://doi.org/10.1016/j.apenergy.2018.06.096.
14. Hassan M.A.S., Chen Minyou, Li Qiang, Mehmood M.A., Cheng Tingli, Li Bo. Microgrid control and protection state of the art: a comprehensive overview. Journal of Electrical Systems. 2018;14(2):148-164.
15. Glazunova А. Development of a day-ahead demand side management strategy to improve the microgrid efficiency. In: 11th Symposium on Control of Power and Energy Systems IFAC CPES. 2022;55(9):256-261. https://doi.org/10.1016/j. ifacol.2022.07.045.
16. Aksaeva E., GlazunovaA. Creation of a scheduler for load shifting technology implementation in a demand management program. In: Stennikovа V.A. (eds.). Metodicheskie voprosy issledovaniya nadezhnosti bol’shih sistem energetiki. Nadezhnost’ sistem energetiki v usloviyah sovremennyh vyzovov i ugroz = Methodological issues in studying large energy systems reliability. Energy system reliability in the context of modern challenges and threats. Irkutsk: Melentiev Energy Systems Institute of Siberian Branch of Russian Academy of Sciences; 2023, Iss. 74, р. 652-662. (In Russ.).
17. Kellerer H., Pferschy U., Pisinger D. Knapsack problems. Berlin, Heidelberg: Springer; 2004, 548 р. https://doi.org/10.1007/978-3-540-24777-7.
18. Lun I.Y.F., Lam J.C. A study of Weibull parameters using long-term wind observations. Renewable Energy. 2000;20(2):145-153. https://doi.org/10.1016/S0960-1481(99)00103-2.
19. Lukutin B.V., Shandarova E.B., Muravlev A.I. Energy-efficient controlled generators for wind power plants. Izvestiya Tomskogo politekhnicheskogo universiteta = Bulletin of the Tomsk Polytechnic University. 2008;312(4):128-130. (In Russ.). EDN: JRGNSL.
20. Zhu Lan, Yan Zheng, Lee Wei-Jen, Yang Xiu, Fu Yang, Cao Wei. Direct load control in microgrids to enhance the performance of integrated resources planning. IEEE Transactions on Industry Applications. 2015;51(5):3553-3560. https://doi.org/10.1109/TIA.2015.2413960.
Review
For citations:
Glazunova A.M., Sieemshchikov S.E. Design of daily load profiles in environmentally friendly commercial and industrial microgrids. iPolytech Journal. 2024;28(1):72-83. (In Russ.) https://doi.org/10.21285/1814-3520-2024-1-72-83. EDN: PAGGRY
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