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A Joint Risk and Security Constrained Control Framework for Real-Time Energy Scheduling of Islanded Microgrids

Lookup NU author(s): Dr Saman Nikkhah, Dr Ilias Sarantakos, Dr Natalia Zografou-Barredo, Dr Adib Allahham, Professor Damian Giaouris



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


High penetration of intermittent renewable energy sources (RES) and unexpected disruptions (e.g., natural disasters) are fundamental challenges which can threaten the secure operation of microgrids, especially during the islanded condition, with no support from the upstream grid. This paper introduces a hierarchical tri-layer min-max-min joint risk-and security-constrained model predictive control (RSC-MPC) framework for real-time energy scheduling of islanded microgrids (IMGs) under the influence of uncertainty and real-time time-varying contingency conditions. While the first layer processes a pre-scheduling day-ahead optimisation, the second layer detects the worst-case contingency conditions by maximising the load curtailment and the mismatch between pre-scheduling (i.e., first layer) and real-time operation. The third layer implements the corrective security measures to minimise the negative effect of contingency conditions while accounting to the cost associated with the risk of uncertainty in the forecasted inputs. The third layer also explores the economic effects of the RES’ uncertainty on the proposed RSC-MPC, considering the risk and energy procurement cost as conflicting objectives. The computational efficiency of the proposed hierarchical control system in terms of accuracy and processing time is guaranteed through a mixed integer conic programming model. The proposed RSC-MPC is tested in different case studies and its efficiency is validated by numerical results.

Publication metadata

Author(s): Nikkhah S, Sarantakos I, Zografou-Barredo N, Rabiee A, Allahham A, Giaouris D

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Smart Grid

Year: 2022

Volume: 13

Issue: 5

Pages: 3354 - 3368

Print publication date: 01/09/2022

Online publication date: 02/05/2022

Acceptance date: 24/04/2022

Date deposited: 26/08/2022

ISSN (print): 1949-3053

ISSN (electronic): 1949-3061

Publisher: Institute of Electrical and Electronics Engineers Inc.


DOI: 10.1109/TSG.2022.3171816

ePrints DOI: 10.57711/8hx5-1w28


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