Composed aggregate modeling of DERs at feeder level for steady state analysis of distribution systems

Author(s)

Rolim, Felipe B. B. ; Trindade, Fernanda C. L. ; Freitas, Walmir ; Venkatesh, Bala

• Document type: Journal article
• Source: Electric Power Systems Research; v. 245, p. 11-pg., 2025-03-13.

Abstract

Energy transition via deep electrification leading to a zero-carbon 2050 future powered by innumerable DERs is being contemplated worldwide. However, hitherto practice of accurate individual DER representation for planning and operation purposes considering thousands of connected units is impractical. In this context, aggregate DERs representation with sufficient modeling accuracy and computing using limited set of measurements is a practical solution to this fast-growing problem. This work proposes three DER models, namely equivalent electrical circuit (CKT), artificial intelligence (ANN), and regression-based (REG) models. A linear optimization formulation is proposed to combine those models to obtain the least error compared to the available power flow measurement, achieving the aggregate DER model (CAR). These approaches are based on statistical and aggregate load modeling, such as ZIP (constant impedance, current and power) model used to represent innumerable loads, in aggregate, for power flow studies for over 50 years and this work leverages the concept to create a new one. Under different scenarios of topology and input parameter errors, the methodology can extract the information from the available measurements and decide the best CAR model. Applying this model, the root means square error regarding the power flow in the test system is on average 0.3 %. (AU)

• FAPESP's process: 23/01719-0 - Grid-edge technologies: changing the paradigms to promote the energy transition and the 3D concept - decentralization, decarbonization, and digitalization
• Grantee: Walmir de Freitas Filho
• Support Opportunities: Scholarships abroad - Research
• FAPESP's process: 22/10271-0 - Development of an anomalous data treatment method dedicated to ADMS applications
• Grantee: Felipe Bayma Barbosa Rolim
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• FAPESP's process: 20/07103-3 - Anomaly detection in electrical power distribution systems based on sensors and smart meters data analytics
• Grantee: Felipe Bayma Barbosa Rolim
• Support Opportunities: Scholarships in Brazil - Doctorate
• FAPESP's process: 22/11517-3 - Proposal of aggregate steady-state distributed energy resource modeling
• Grantee: Fernanda Caseño Trindade Arioli
• Support Opportunities: Scholarships abroad - Research
• FAPESP's process: 21/11380-5 - CPTEn - São Paulo Center for the Study of Energy Transition
• Grantee: Luiz Carlos Pereira da Silva
• Support Opportunities: Research Grants - Science Centers for Development