Location
Online
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2023 12:00 AM
End Date
7-1-2023 12:00 AM
Description
To decarbonize the energy sector, clean energy plans with a tremendous quantity of renewable energy integration are emerging globally. New York State (NYS) has one of the most ambitious targets to realize carbon-neutrality by 2040. To investigate the feasibility of this plan, the starting point of the plan is analyzed on a modified representation of the NYS power grid. Historical data for 2019 is used to model the spatiotemporal co-variability of load and virtual renewable outputs at hourly intervals. Optimal power flow analysis is simulated on daily basis for the full year to examine the performance of the system from annual to hourly levels. Results identify bottlenecks to using renewable energy efficiently and reliably with an emphasis on storage units, providing system operators, policymakers, and stakeholders with a practical research foundation.
Recommended Citation
Liu, Mengwei; Doering, Kenji; Gupta, Amandeep; and Anderson, C. Lindsay, "A Spatiotemporal Analysis of New York State Grid Transition under the CLCPA Energy Strategy" (2023). Hawaii International Conference on System Sciences 2023 (HICSS-56). 2.
https://aisel.aisnet.org/hicss-56/es/renewable_resources/2
A Spatiotemporal Analysis of New York State Grid Transition under the CLCPA Energy Strategy
Online
To decarbonize the energy sector, clean energy plans with a tremendous quantity of renewable energy integration are emerging globally. New York State (NYS) has one of the most ambitious targets to realize carbon-neutrality by 2040. To investigate the feasibility of this plan, the starting point of the plan is analyzed on a modified representation of the NYS power grid. Historical data for 2019 is used to model the spatiotemporal co-variability of load and virtual renewable outputs at hourly intervals. Optimal power flow analysis is simulated on daily basis for the full year to examine the performance of the system from annual to hourly levels. Results identify bottlenecks to using renewable energy efficiently and reliably with an emphasis on storage units, providing system operators, policymakers, and stakeholders with a practical research foundation.
https://aisel.aisnet.org/hicss-56/es/renewable_resources/2