Publication

A resilient approach for distributed MPC-based economic dispatch in interconnected microgrids

Conference Article

Conference

European Control Conference (ECC)

Edition

2019

Pages

891-896

Doc link

https://doi.org/10.23919/ECC.2019.8796208

File

Download the digital copy of the doc pdf document

Abstract

Economic dispatch of interconnected microgrids that is based on distributed model predictive control (DMPC) requires the cooperation of all agents (microgrids). This paper discusses the case in which some of the agents might not comply with the decisions computed by performing a DMPC algorithm. In this regard, these agents could obtain a better performance at the cost of degrading the performance of the network as a whole. A resilient distributed method that can deal with such issues is proposed and studied in this paper. The method consists of two parts. The first part is to ensure that the decisions obtained from the algorithm are robustly feasible against most of the attacks with high confidence. In this part, we employ a two-step randomization-based approach to obtain a feasible solution with a predefined level of confidence. The second part consists in the identification and mitigation of the adversarial agents, which utilizes hypothesis testing with Bayesian inference and requires each agent to solve a mixed-integer problem to decide the connections with its neighbors. In addition, an analysis of the decisions computed using the stochastic approach and the outcome of the identification and mitigation method is provided. The performance of the proposed approach is also shown through numerical simulations.

Categories

optimisation, power system control, predictive control.

Author keywords

Economic dispatch, distributed MPC, distributed optimization, resilient algorithm, scenario-based approach

Scientific reference

W. Ananduta, J.M. Maestre, C. Ocampo-Martínez and H. Ishii. A resilient approach for distributed MPC-based economic dispatch in interconnected microgrids, 2019 European Control Conference, 2019, Naples, pp. 891-896.