Probabilistic Model for Microgrids Optimal Energy Management Considering AC Network Constraints

• Type: Article in International Scientific Journal
• Date: 2020

Authors

Javidsharifi, M (Author) Other; Niknam, T (Author) Other; Aghaei, J (Author) Other; Shafie khah, M (Author) Other; Catalao, JPS (Author) FEUP

Journal

Title: IEEE Systems Journal

Vol. 14

Pages: 2703-2712

ISSN: 1932-8184

Publisher: IEEE

Indexing

ISI Web of Knowledge - 15 Citations

Scopus - 13 Citations

Other information

Authenticus ID: P-00S-7XE

DOI: 10.1109/jsyst.2019.2927437

Abstract (EN): A new probabilistic approach for microgrids (MGs) optimal energy management considering ac network constraints is proposed in this paper. The economic model of an energy storage system (ESS) is considered in the problem. The reduced unscented transformation (RUT) is applied in order to deal with the uncertainties related to the forecasted values of load demand, market price, and available outputs of renewable energy sources (RESs). Moreover, the correlation between market price and load demand is taken into account. Besides, the impact of the correlated wind turbines (WT) on MGs' energy management is studied. An enhanced JAYA (EJAYA) algorithm is suggested to achieve the best solution of the considered problem. The effective performance of the presented approach is verified by applying the suggested strategy on a modified IEEE 33-bus system. It can be observed that for dealing with probabilistic problems, the suggested RUT-EJAYA shows accurate results such as those of Monte Carlo (MC) while the computational burden (time and complexity) is lower.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10