Miloš Stevanović, Aleksandar Janjic, Sreten Stojanović, Dragan Tasić

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The paper discusses the problem of the energy losses reduction in electrical networks using a battery energy storage system. One of the main research interests is to define the optimal battery location and control, for the given battery characteristics (battery size, maximum charge / discharge power, discharge depth, etc.), network configuration, network load, and daily load diagram. Battery management involves determining the state of the battery over one period (whether charging or discharging) and with what power it operates. Optimization techniques were used, which were applied to the model described in the paper. The model consists of a fitness function and a constraint. The fitness function is the dependence of the power losses in the network on the current battery power, and it is suggested that the function be fit by a n - order power function. The constraints apply to the very characteristics of the battery for storing electricity. At any time interval, the maximum power that the battery can receive or inject must be met. At any time, the stored energy in the battery must not exceed certain limits. The power of losses in the network is represented as the power of injection into the nodes of the network. The optimization problem was successfully solved by applying a genetic algorithm (GA), when determining optimal battery management. Finally, the optimal battery management algorithm is implemented on the test network. The results of the simulations are presented and discussed.


energy losses, optimal location, battery storage, charge state (SOC)

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L. Luo, S. S. Abdulkareem, A. Rezvani, M. R. Miveh, S. Samad, N. Aljojo, M. Pazhoohes, "Optimal scheduling of a renewable based microgrid considering photovoltaic system and battery energy storage under uncertainty", Journal of Energy Storage, vol. 28, p. 101306, 2020.

A. Rufe, "On the efficiency of energy storage systems – the influence of the exchanged power and the penalty of the auxiliaries", Facta Universitatis, Series: Electronics and Energetics, vol. 34, no. 2, pp. 173–185, June 2021.

H. Saboori, S. Jadid, "Optimal scheduling of mobile utility-scale battery energy storage systems in electric power distribution networks", Journal of Energy Storage, vol. 31, p. 101615, 2020.

H. Karimi, S. Jadid, A. Makui, "Stochastic energy scheduling of multi-microgrid systems considering independence performance index and energy storage systems", Journal of Energy Storage, vol. 33, p. 102083, 2021.

P. Firouzmakan, R. Hooshmand, M. Bornapour, A. Khodabakhshian, "A comprehensive stochastic energy management system of micro-CHP units, renewable energy sources and storage systems in microgrids considering demand response programs", Renewable and Sustainable Energy Reviews, vol. 108, pp. 355–368, 2019.

E. Pons, M. Repetto, "A topological reconfiguration procedure for maximising local consumption of renewable energy in Italian active distribution networks", Int. J. Sustain. Energy, vol. 36, no. 9, pp. 887–900, 2016.

I. Staffella, M. Rustomjib, "Maximising the value of electricity storage", Journal of Energy Storage, vol. 8, pp. 212–225, 2016.

Z. Qing, Y. Nanhua, Z. Xiaoping, Y. You, D. Liu, "Optimal siting and sizing of battery energy storage system in active distribution network", in Proceedings of the 4th IEEE/PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013.

N.S. Pearre, L.G. Swan, "Technoeconomic feasibility of grid storage: mapping electrical services and energy storage technologies", Appl. Energy, vol. 137, pp. 501–510, 2015.

G. Carpinelli, G. Celli, S. Mocci, F. Mottola, F. Pilo, D. Proto, "Optimal integration of distributed energy storage devices in smart grids", Trans. Smart Grid, vol. 4, no. 2, pp. 985–995, 2013.

D.Magnor, D.U.Sauer, "Optimization of PV Battery Systems Using Genetic Algorithms", Energy Procedia, vol. 99, pp. 332–340, 2016.

R. Sakipour and H. Abdi "Optimizing Battery Energy Storage System Data in the Presence of Wind Power Plants: A Comparative Study on Evolutionary Algorithm," Sustainability 2020, vol. 12, p. 10257, 2020.

P. Boonluk, A. Siritaratiwat, P. Fuangfoo, and S. Khunkitti, "Optimal Siting and Sizing of Battery Energy Storage Systems for Distribution Network of Distribution System Operators," Batteries, vol. 6, no. 4, 56, 2020.

L. Debarberis, P.Lazzeroni, S. Olivero, V.A. Ricci, F.Stirano, M.Repetto, "Technical and economical evaluation of a PV plant with energy storage", in Proceedings of the IECON 2013-39th Annual Conference of the IEEE Industrial Electronics, 2013.

P. Lazzeroni, M. Repetto. "Optimal planning of battery systems for power losses reduction in distribution grids," Electric Power Systems Research, vol. 167, pp. 94–112, 2019.

S.B. Karanki, D. Xu, B. Venkatesh, B.N. Singh, "Optimal location of battery energy storage systems in power distribution network for integrating renewable energy sources", in Proceedings of the IEEE Energy Conversion Congress and Exposition (ECCE), 2013.

E. Bompard, E. Carpaneto, G. Chicco, R. Napoli, "Convergence of the backward/ forward sweep method for the load flow analysis of radial distribution systems", Electr. Power Energy Syst., vol. 22, no. 7, pp. 521–530, 2000.


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ISSN: 2217-5997 (Online)

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