Optimal operation of microgrids with risk-constrained state of charge

Jie Lei, Christian A. Hans, Pantelis Sopasakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper we present a stochastic scenario-based model predictive control (MPC) approach for the operation of islanded microgrids with high share of renewable energy sources. We require that the stored energy remains within given bounds with a certain probability using risk-based constraints as convex approximations of chance constraints. We show that risk constraints can generally be cast as conic constraints and, unlike chance constraints, can control both the number and average magnitude of constraint violations. Lastly, we demonstrate the risk-constrained stochastic MPC in a numerical case study.
Original languageEnglish
Title of host publication2021 21st European Control Conference (ECC): Proceedings
Publisher IEEE
Number of pages1
ISBN (Electronic)978-9-4638-4236-5
ISBN (Print)978-1-6654-7945-5
Publication statusPublished - 03 Jan 2022

Publication series

NameEuropean Control Conference (ECC): Proceedings


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