Optimization of Industrial Complex Power Supply by Means of Renewable Energy Sources

The usage of renewable energy sources and energy storage devices allows an enterprise to reduce its electricity supply costs. Significant savings can be achieved only in the case of a well-organized system of managing energy flows of the enterprise and electricity consumption. The puprpose of the study was to analyze the existing storage devices and renewable energy sources, and on the basis of the analysis, introduce an approach to organizing energy supply of the enterprise based on the usage of storage devices and renewable energy sources. The approach introduced implies the electricity purchase schedule curve optimization to minimize the total costs. The purchase schedule curve optimization for the case of energy storage usage is an ill-posed problem. Within the framework of solving the problem, the form of the curve was formalized to a piecewise constant function, which made it possible to solve it by applying multi-criteria optimization based on a modified method of directed random search. We analyzed a model case, for which an optimal purchase schedule curve was obtained using storage devices and solar panels, and the achievable economic effect from their use was graphed. The maximum value of operational costs, which makes the usage of energy storage and renewable energy source efficient, was found

References

[1] Zakharov M.N. Kontrol’ i minimizatsiya zatrat predpriyatiya v sisteme logistiki [Control and minimization of enterprise expenses in logistics system]. Moscow, Ekzamen Publ., 2006.

[2] Zakharov M.N., Omelchenko I.N., Sarkisov A.S. Situatsii inzhenerno-ekonomicheskogo analiza [Situations of cost-effectiveness analysis]. Moscow, Bauman MSTU Publ., 2014.

[3] Bekker N.A., Zakharov M.N., Sarkisov A.S. Economic efficiency complex estimation of renewable energy sources development projects. Neft’, gaz i biznes, 2007, no. 10, pp. 17--24 (in Russ.).

[4] PJM Learning Center. learn.pjm.com: website. How energy use varies with the seasons. Available at: https://learn.pjm.com/three-priorities/keeping-the-lights-on/how-energy-use-varies.aspx (accessed: 13.12.2020).

[5] Vasil’yev A.A., ed. Elektricheskaya chast’ stantsiy i podstantsiy [Electrical part of stations and substation]. Moscow, Energoatomizdat Publ., 1990.

[6] Jardini J.A., Tahan C.M.V., Gouvea M.R., et al. Daily load profiles for residential, commercial and industrial low voltage consumers. IEEE Trans. Power Deliv., 2000, vol. 15, no. 1, pp. 375--80. DOI: https://doi.org/10.1109/61.847276

[7] Jiao R., Zhang T., Jiang Y., et al. Short-term non-residential load forecasting based on multiple sequences LSTM recurrent neural network. IEEE Access, 2018, vol. 6, pp. 59438--59448. DOI: https://doi.org/10.1109/ACCESS.2018.2873712

[8] Rodionov V.G. Energetika: problemy nastoyashchego i vozmozhnosti budushchego [Electric-power industry: current problems and future possibilities]. Moscow, ENAS Publ., 2010.

[9] Kulikov Yu.A. [Energy storages --- efficient control tool of energy system]. Sb. tr. konf. "Elektroenergetika glazami molodezhi--2018" [Proc. Conf. Electric-Ppower Industry by Young People’s Eyes]. Kazan, KGEU Publ., 2018, pp. 38--43 (in Russ.).

[10] Pelz P.F. Upper limit for hydropower in an open-channel flow. J. Hydraul. Eng., 2011, vol. 137, no. 11, pp. 1536--1542. DOI: https://doi.org/10.1061/(ASCE)HY.1943-7900.0000393

[11] Semadeni M. Energy storage as an essential part of sustainable energy systems: a review on applied energy storage technologies. CEPE Working Paper, 2003, no. 24.

[12] Udalov S.N., Vasyutkina I.A. Vozobnovlyaemaya energetika [Renewable power industry]. Novosibirsk, Izd-vo NGTU Publ., 2016.

[13] Ofitsial’nyy sayt Ministerstva energetiki Rossiyskoy Federatsii [Official website of Ministry of Energy of Russian Federation] (in Russ.). Available at: https://minenergo.gov.ru (accessed: 13.12.2020).

[14] Tikhonov A.N. On the solution of ill-posed problems and the method of regularization. Dokl. AN SSSR, 1963, vol. 151, no. 3, pp. 501--504 (in Russ.).

[15] Yagola A.G. Ill-posed problems and methods of its solution. Sb. tez. dokl. Mezhdunar. shkoly-konf. "Matematika, fizika, informatika i ikh prilozheniya v nauke i obrazovanii" [Proc. Abs. Int. School-Conf. Mathematics, Physics, Programming and its Application in Science and Education]. Moscow, Izd-vo MIREA Publ., 2016, pp. 64--65 (in Russ.).

[16] Karpenko A.P. Sovremennye algoritmy poiskovoy optimizatsii. Algoritmy, vdokhnovlennye prirodoy [Modern search optimization methods. Algorithms inspired by natures]. Moscow, Bauman MSTU Publ., 2014.

[17] Reyzlin V.I. Chislennye metody optimizatsii [Numerical optimization methods]. Tomsk, Izd-vo TPU Publ., 2011.

[18] Alibaba, krupneyshaya v mire onlayn B2B torgovaya platforma [Alibaba, the biggest online B2B trade platform in the world] (in Russ.). Available at: https://russian.alibaba.com (accessed: 13.12.2020).

[19] Fan Y., Pei G., Yingying L., et al. Impacts on operation and benefit after new energy generation access to power grid. IOP Conf. Ser.: Earth Environ. Sc., 2018, vol. 168, art. 012034. DOI: https://doi.org/10.1088/1755-1315/168/1/012034