Virtual power plant operation using an improved meta-heuristic optimization algorithm considering uncertainties

Document Type : Research paper

Authors

1 Department of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran

2 Department of Electrical Engineering, Jundi-Shapur University of Technology, Dezful, Iran

Abstract

In this paper, virtual power plant (VPP) planning is done using distributed generation sources to create a safe platform for electricity exchange and to increase the profitability and sustainability of electricity. In the proposed model, the effect of micro-grid interaction with the electricity market in the presence of distributed generation resources and storage is investigated. To solve this problem, an improved artificial bee colony algorithm using the accept-reject method (AR-ABC) is used. The AR method is employed to limit the initial search space as well as for the scenario reduction process. Also, uncertainties related to loads and renewable sources are formulated in a sample micro-grid including micro-turbine (MT), fuel cell (FC), wind turbine (WT), photovoltaic cells (PV) and batteries for storage; the results are compared with those of other methods, which shows this method works better than others. The software simulations of this research are done in the MATLAB software environment.

Keywords

References

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Journal of Operation and Automation in Power Engineering
Volume 12, Issue 4
December 2024
Pages 312-325

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History

  • Receive Date: 05 September 2022
  • Revise Date: 18 December 2022
  • Accept Date: 02 January 2023

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