Application of PSO algorithms for VPP operation optimization

D. Kaczorowska, J. Rezmer, T. Sikorski, P. Janik




The random character of generation of distributed energy resources and their increasing numbers cause problems with power balancing in distribution grids. One approach to mitigate the balancing issue is deployment of a virtual power plant VPP with accordingly dimensioned components, i.e.
renewable generation and storages. It is also necessary to control the power flow in a way that production and consumption balance would not be threaten. From an investor's perspective, profits and costs are important. The components of a VPP installation, such as generators and storage systems must meet the conditions for optimal economic and technical performance. Due to the increasing number of optimization variables, and thus the complexity of the objective function, it is necessary to use advanced tools for effective solution for optimization problems. The paper presents the optimization of PV and electric energy storage for selected operational scenario using particle swarm algorithms. The proposed method allows for substantial improvement of power losses in the power grid and decrease of necessary investment. Predefined power consumption target profiles were reached even with reduced PV power and storage capacity. Real production and consumption curves were used in the presented analysis.

Published in: Renewable Energy & Power Quality Journal (RE&PQJ, Nº. 17)
Pages: 91-96 Date of Publication: 2019/07/15
ISSN: 2172-038X Date of Current Version:2019/04/10
REF: 230-19 Issue Date: July 2019
DOI:10.24084/repqj17.230 Publisher: EA4EPQ

Authors and affiliations

D. Kaczorowska1, J. Rezmer1, T. Sikorski1, P. Janik2
1. Faculty of Electrical Engineering. Wroclaw University of Science and Technology. Wroclaw (Poland)
2. Tauron Ekoenergia. Jelenia Gora (Poland)

Key words

Energy storage, particle swarm optimization, photovoltaic system, virtual power plant.


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