Stochastic planning of a multi-microgrid considering integration of renewable energy resources and real-time electricity market

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Seyed Mehdi Hakimi (Author) Other; Arezoo Hasankhani (Author) Other; Miadreza Shafie-khah (Author) Other; João P. S. Catalão (Author) FEUP

Journal

Title: Applied Energy

Vol. 298

Pages: 1-17

ISSN: 0306-2619

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 56 Citations

Scopus - 72 Citations

Other information

Authenticus ID: P-00V-1AY

DOI: 10.1016/j.apenergy.2021.117215

Abstract (EN): This paper presents a stochastic planning algorithm to plan an operation of a multi-microgrid (MMG) in an electricity market considering the integration of stochastic renewable energy resources (RERs). The proposed planning algorithm investigates the optimal operation of resources (i.e., wind turbine (WT), fuel cell (FC), Electrolyzer, photovoltaic (PV) panel, and microturbine (MT)) and energy storage (ES). Various uncertainties (e.g., the power production of WT, the power production of PV, the departure time of electric vehicle (EV), the arrival time of EV, and the traveled distance of EV) are initially forecasted according to the observed data. The prediction error is estimated by fitting the forecasted data and observed data using a Copula method. A Cournot equilibrium and game theory (GT) are applied to model the real-time electricity market and its interactions with the MMG. The proposed algorithm is examined in a sample MMG to determine the operation of uncertain resources and ES. The obtained results are compared with a baseline and the other conventional optimization methods to verify the effectiveness of the proposed algorithm. The obtained results authenticate the importance of modeling the interaction between the MMG and electricity market, especially under the high integration of uncertain RERs, resulting in above 8% cost reduction in the MMG.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 17