MUGENGA, Ineza Remy (African Institute for Mathematical Sciences), Geletu, Abebe (African Institute for Mathematical Sciences), Li, Pu (Technische Universität Ilmenau)

Chance Constrained Distributed Optimisation for Interconnected Power Systems

Scheduled for presentation during the Regular Session "Optimal Control, Management, and Scheduling in Energy Hubs" (ThuS1T2), Thursday, July 11, 2024, 09:00−09:20, Grand Amphitheater

12th IFAC Symposium on Control of Power & Energy Systems, July 10-12, 2024, Rabat, Morocco

This information is tentative and subject to change. Compiled on January 2, 2025

Abstract

Microgrids have been attracted increasingly attention due to renewable energy integration. Multiple microgrids are often interconnected for benefiting each other. A significant challenge in operating such power systems lies in the uncertainties including intermittence in renewable energy sources and load demands estimation. Sharing state variables in interconnected systems poses additional difficulties. This paper proposes a numerical solution approach to a chance constrained distributed optimisation for interconnected power systems under uncertainty. The inner-outer approximation approach is used for the solution and ALADIN for numerical implementation. An interconnected optimal power flow problem with a three-bus and a four-bus system is solved as a case study.