Journal of Frontiers in Multidisciplinary Research  |  ISSN: 3050-9718  |  Double-Blind Peer Review  |  Open Access  |  CC BY 4.0

Current Issues
     2026:7/1

Journal of Frontiers in Multidisciplinary Research

ISSN: 3050-9718 | Impact Factor: 8.10 | Open Access

Integrated Grid Optimization for Deep Decarbonization: A Multi-ISO Simulation Study across MISO, CAISO, and ERCOT (2025–2030)

Full Text (PDF)

Open Access - Free to Download

Download Full Article (PDF)

Abstract

As renewable energy penetration rapidly increases, Independent System Operators (ISOs) face unprecedented challenges in balancing cost, emissions, and reliability. This study introduces an Integrated Grid Optimization (IGO) framework, combining siting, transmission expansion, market dispatch, and inverter stability solutions. Using publicly available datasets and the open-source GridPath platform, we simulate coordinated scenarios (30%, 50%, and 80% VRE) from 2025 to 2030 across MISO, CAISO, and ERCOT. Results demonstrate that the IGO framework can reduce CO₂ emissions by up to 80%, maintain high reliability, and minimize total system cost through optimal placement of HVDC overlays, battery storage, and grid-forming inverters. This provides a replicable blueprint for cost-effective, stable renewable integration across large grid footprints.

How to Cite This Article

Kelvin Bassey (2025). Integrated Grid Optimization for Deep Decarbonization: A Multi-ISO Simulation Study across MISO, CAISO, and ERCOT (2025–2030) . Journal of Frontiers in Multidisciplinary Research (JFMR), 6(2), 140-161. DOI: https://doi.org/10.54660/.JFMR.2025.6.2.140-161

Share This Article: