Clean Power

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The National Academy of Sciences of Ukraine

The Institute of Electrodynamics

About Institute



L. Lukianenko, I. Goncharenko
Institute of Electrodynamics of the National Academy of Sciences of Ukraine,
Peremohy, 56, Kyiv-57, 03680, Ukraine,
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Constant growth of distributed generation (DG) in power systems has not only positive changes. Incorrect placement of DG can worsen steady-state parameters of a power grid, for example, voltage profile. Method for optimal DG placement had been developed previously [1, 4, 5, 10, 11]. The object of this paper was to critically examine the proposed method performance on different power grids. Examination of the method has been carried out on the IEEE 9-, 14-, 39- and 57-bus test systems. The results of simulation tests show that this method has limited usage. Performance of the method greatly depends on power grid. In particular, method extremely fast finds optimal DG placement in 14-bus test system; however, optimal DG placement in 57-bus test system requires to perform the amount of calculations, which is comparable to the amount of possible solutions. Besides, simulation data analysis shows that there is some optimal penetration of DG in the power grid, which rises with the number of DG sources in the power grid, but does not depend on the power grid size and is unknown without previous examination. References 11, figures 8, tables 4.
Key words: distributed generation, Monte-Carlo method, optimal penetration, optimization, renewable energy sources.

1. Goncharenko I.S. Some problems of the efficiency improvement of the method to determine an optimal placement and capacity of distributed generation. Pratsi Instytutu elektrodynamiky NAN Ukrainy. 2015. No 42. P. 47–51. (Ukr)
2. Kyrylenko O.V., Pavlovskyi V.V., Lukianenko L.M.. Technical aspects of adoption of distributed generation sources in electric mains. Tekhnichna elektrodynamika. 2011. No 1. P. 46–53. (Ukr)
3. Kyrylenko O.V., Pavlovskyi V.V., Lukianenko L.M., Trach I.V. The main problems of integrating renewable energy sources into "weak" networks. Tekhnichna elektrodynamika. 2012. NO 3. P. 25–26. (Ukr)
4. Lukianenko L.M., Goncharenko I.S., Blonska O.V.. Determination of optimal installation places and power values of renewable energy sources. Pratsi Instytutu elektrodynamiky NAN Ukrainy. 2014. No 37. P. 26–33. (Ukr)
5. Pavlovskyi V.V., Lukianenko L.M., Goncharenko I.S., Zakharov A.M. Limiting the power of renewable energy sources under the terms of connection to electrical network. Pratsi Instytutu elektrodynamiky NAN Ukrainy. 2016. No 43. P. 18–23. (Ukr)
6. Chernenko P.A. Determination of the required number of tests to evaluate an effect of the input data error on the calculation results of the power systems modes by using Monte Carlo method. Problems of technical electrodynamics. 1972. No 36. P. 70–71. (Rus)
7. Eleltricheskie sistemy. Volume 1. Mathematical problems of electric power industry. Moskva: Vyssh. Shk., 1970. 336 p. (Rus)
8. Akorede M.F., Hizam H., Aris I., Ab Kadir M.Z.A. A Review of Strategies for Optimal Placement of Distributed Generation in Power Distribution Systems. Research Journal of Applied Sciences. 2010. No. 5 (2). P. 137–145.
9. Energy from renewable sources. Eurostat. Access mode:
10. Goncharenko I.S. Distributed generation optimal placement. Climatic pattern consideration. Proceedings of the 2nd IEEE International Conference on Intelligent Energy and Power Systems (IEPS-2016). 2016. P. 93–96. DOI:
11. Lukianenko L.M., Goncharenko I.S., Blonska O.V. Determination of the Optimal Placement and Capacity of Distributed Generation. Proceedings of the IEEE International Conference on Intelligent Energy and Power Systems (IEPS-2014). 2014. P. 159–162.  DOI: