Skip to the main content

Technical gazette, Vol. 25 No. 1, 2018.

Review article

https://doi.org/10.17559/TV-20170703135143

Review of Non-Traditional Optimization Methods for Allocation of Distributed Generation and Energy Storage in Distribution System

Mario Šipoš ; Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Kneza Trpimira 2B, HR-31000 Osijek, Croatia
Zvonimir Klaić orcid id orcid.org/0000-0002-7237-3565 ; Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Kneza Trpimira 2B, HR-31000 Osijek, Croatia
Krešimir Fekete ; Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Kneza Trpimira 2B, HR-31000 Osijek, Croatia
Marinko Stojkov orcid id orcid.org/0000-0003-1727-1766 ; Mechanical Engineering Faculty Slavonski Brod, Trg Ivane Brlić Mažuranić 2, HR-35000 Slavonski Brod, Croatia

Full text: english pdf 1.023 Kb

page 294-301

downloads: 1.354

cite

Abstract

The integration of distributed energy sources transforms passive distributed grid, in which the energy flows only in one direction (from the source to the consumer), in an active one, in which energy flows in both directions. To maximize positive impacts, which distributed generation (DG) can provide to the distribution network, it is necessary to determine the optimal allocation of distributed generation. The optimal allocation can be determined by using the optimization method. There are two main categories: exact methods (traditional) and heuristic (non-traditional) methods. Exact methods search for global optimum while heuristic methods achieve satisfactory solutions with greater computation speed. This paper gives a brief review of non-traditional methods used for determining optimal location and optimal power of DG with the aim to reduce real power losses and to improve voltage characteristics. Also, there is a review of the application of those methods in determining the optimal power, optimal location and optimal cycle of charging/discharging of electrical energy storage systems.

Keywords

active distribution grid; distributed generation; genetic algorithm; optimization of the distribution grid

Hrčak ID:

193628

URI

https://hrcak.srce.hr/193628

Publication date:

10.2.2018.

Visits: 2.795 *