Abstract
The article proposes the models of rational resource allocation for the implementation of measures to prevent industrial accidents in energy supply systems. They allow maximizing the integral effect of preventing these accidents, as well as eliminating their consequences in the event of restrictions on the resources allocated. As a unified measure of the volume of resources, the cost of implementing these measures has been adopted. The integral effect of financing events is estimated by an indicator formed by various options for combining private indicators of the effect of their financing. Analytical relationships have been obtained for a number of options for representing the integral effect of financing measures to prevent industrial accidents in power supply systems. They cover a fairly wide range of interesting practical problems that allow assessing various types of synergistic effect due to the distribution of available resources for financing the activities under consideration. This makes the proposed models useful for energy management at the micro and macro levels. Their practical application in the interests of energy management is associated with the choice of one or several models reflecting the specifics of measures to prevent technological accidents in power supply systems and the specification of the constant parameters of these models taking into account the specifics of these measures.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Meadows, D., Rander, J., Meadows, D., Behrens, W.: The Limits to Growth: A Report for the Club of Rome’s Project on the Predicament of Mankind. Universe Books, New York (1972)
Meadows, D., Rander, J., Meadows, D.: Limits to Growth-The 30 Year Update (2004)
Bagrova, L.A., Bokov, V.A., Mazinov, A.S.: Dangerous man-made disasters in the energy sector as environmental risk factors. In: Scientific notes of the Tauride National University. IN AND. Vernadsky Series “Geography”, vol. 25, no. 2, pp. 9–19 (2012). (in Russian)
Saurenko, T., Anisimov, E., Anisimov, V., Levina, A.: Comparing investment projects of innovative developing strategies of municipalities, based on a set of indicators. In: MATEC Web of Conferences, p. 01038 (2018)
Anisimov, V., Chernysh, A., Anisimov, E.: Model and algorithm for substantiating solutions for organization of high-rise construction project. In: E3S Web of Conferences, p. 03003 (2018)
Anisimov, V.G., Anisimov, E.G., Saurenko, T.N., Sonkin, M.A.: The model and the planning method of volume and variety assessment of innovative products in an industrial enterprise. J. Phys.: Conf. Ser. 803(1), 012006 (2017). https://doi.org/10.1088/1742-6596/803/1/012006
Anisimov, E.G., Anisimov, V.G., Sonkin, M.A.: Mathematical simulation of adaptive allocation of discrete resources. In: Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine, ITSMSSM 2016. ACSR: Advances in Computer Science Research, pp. 282–285 (2016)
Anisimov, V., Anisimov, E., Sonkin, M.: A Resource-and-Time Method to Optimize the Performance of Several Interrelated Operations. International Journal of Applied Engineering Research. 10(17), 38127–38132 (2015)
Anisimov, V.G., Anisimov, Ye.G.: A branch-and-bound algorithm for one class of scheduling problem. Comput. Math. Math. Phys. 32(12), 1827–1832 (1992). (in Russian)
Anisimov, V.G., Anisimov, Ye.G.: A method of solving one class of integer programming problems. USSR Comput. Math. Math. Phys. 29(5), 238–241 (1989). (in Russian)
Anisimov, V.G., Anisimov, E.G.: Modification of the method for solving a class of integer programming problems. Comput. Math. Math. Phys. 37(2), 179–183 (1997). (in Russian)
Anisimov, V.G., Anisimov, E.G.: Algorithm for the optimal distribution of discrete nonuniform resources on the web. Comput. Math. Math. Phys. 37(1), 54–60 (1997). (in Russian)
Alekseyev, A.O., Alekseyev, O.G., Anisimov, V.G., Anisimov, E.G.: The use of duality to increase the effectiveness of the branch and bound method when solving the knapsack problem. USSR Comput. Math. Math. Phys. 25(6), 50–54 (1985). (in Russian)
Avdeev, M.M., Anisimov, V.G., Anisimov, E.G., Martyshchenko, L.A., Shatokhin, D.V.: Information-statistical methods in the management of microeconomic systems. International Academy of Informatization, St. Petersburg, Tula (2001). (in Russian)
Anisimov, V.G., Anisimov, E.G., Petrov, V.S., Rodionova, E.S., Saurenko, T.N., Tebekin, A.V., Tebekin, P.A.: Theoretical basis of innovation management, St. Petersburg (2016). (in Russian)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Saurenko, T., Anisimov, V., Anisimov, E., Smolenskiy, A., Grashchenko, N. (2019). Justification of Financing of Measures to Prevent Accidents in Power Systems. In: Murgul, V., Pasetti, M. (eds) International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2018. EMMFT-2018 2018. Advances in Intelligent Systems and Computing, vol 983. Springer, Cham. https://doi.org/10.1007/978-3-030-19868-8_30
Download citation
DOI: https://doi.org/10.1007/978-3-030-19868-8_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-19867-1
Online ISBN: 978-3-030-19868-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)