Chance Constrained Distributed Optimisation for Interconnected Power Systems ⁎

作     者：Ineza Remy Mugenga Abebe Geletu Pu Li 

作者机构：African Institute of Mathematical Sciences (AIMS) Rwanda P.O. Box: 7150 Kigali Rwanda Group of Process Optimization Institute for Automation and Systems Engineering Technische Universität Ilmenau P.O. Box 100565 98684 Ilmenau Germany 

出 版 物：《IFAC-PapersOnLine》 

年 卷 期：2024年第58卷第13期

页      面：128-133页

主　　题：Interconnecting microgrids shared state systems distributed algorithms ALADIN chance constraints inner-outer approximation 

摘      要：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.