Hsin-Wei
Hsieh
SURF Optimizing the Transition to Clean Energy in the US MISO Region Power Grid Mathematical/Computation Sciences
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Authors:
Hsin-Wei Hsieh
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About Paper:
In response to the US Climate Goals for 2050 and reducing pollution from fossil fuel-fired power plants, an optimization study of the power grid is necessary in the US Midwest Region to transition to renewable energy sources. The region faces significant challenges, including extreme weather, pollution, and increased electricity demand from electric vehicles, data centers, and manufacturing. This research addresses integrating renewable energy sources into the existing power grid, aiming to maximize renewable energy usage while maintaining reliability and efficiency. Data on power generation, substation locations, and energy consumption were analyzed using Geographical Information System (GIS) and optimization algorithms, leveraging BreakThrough Energy's open-source tool for power flow analysis. The results analyze various pathways comprising a mix of wind, solar, and hydro energy to significantly reduce emissions while maintaining grid stability and cost-effectiveness. The research's outcomes will provide a roadmap for policymakers and utility companies to achieve environmental goals without compromising on economic viability. This work underscores the importance of strategic planning in the energy sector and highlights the potential for renewable energy to meet future demands. Future research should explore the broader economic and social implications, including job creation, energy prices, and long-term sustainability of the power grid, ensuring a comprehensive approach to energy transition. Keywords: US Climate Goals; Optimization; Power Flow Analysis; Reduce Emissions; Grid Stability and Cost- Effectiveness
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Purdue University / 2024
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Hsin-Wei Hsieh