As Puerto Rico rebuilds its power grid, researchers have developed a framework to improve resiliency in the face of extreme weather events and ease the integration of new resources. DyMonDS, a dynamic monitoring and decision system, can significantly enhance existing operating practices in the electric industry.
Improving Resiliency in Puerto Rico’s Power Grid: A Step Towards Sustainable Electricity Services
Hurricane Maria ravaged the island of Puerto Rico, leaving millions without power. The devastating storm highlighted the need for a more resilient and efficient power grid. Researchers at MIT’s Laboratory for Information and Decision Systems (LIDS) have developed a framework to improve resiliency in the face of extreme weather events and ease the integration of new resources.
Enhancing Grid Resiliency with Dynamic Monitoring and Decision Systems
The researchers propose using decision-making software and dynamic monitoring of weather and energy use to significantly improve resiliency. The computer platform, DyMonDS, for Dynamic Monitoring and Decision Systems, can be used to enhance existing operating and planning practices in the electric industry.
DyMonDS supports interactive information exchange and decision-making between grid operators and grid-edge users, including distributed power sources, storage systems, and software that contribute to the grid. It also optimizes available resources and controllable grid equipment as system conditions vary.
Optimizing Power Flow and Reducing Outages
The researchers used publicly available data on meteorology and electricity production and distribution in Puerto Rico to illustrate the effectiveness of DyMonDS. They found that the use of such a system can help ensure that the greatest number of critical services maintain power even during a hurricane, while also leading to a substantial decrease in the need for construction of new power plants.
Reducing N-Minus-1 and N-Minus-K Failures
The researchers showed that DyMonDS can reduce the frequency of N-minus-1 failures, where one major component of the system fails, and maintain service for at least 30 minutes. They also demonstrated that the platform can help utilities decide what to schedule in terms of keeping the most customers and critical services provided with power during extreme weather events.
Long-Term Planning and Renewable Energy Integration
The researchers found that DyMonDS can guide the placement of new renewable power sources where they can most efficiently provide power where and when it’s needed. This approach can help achieve carbon-reduction goals by reducing the need for greenhouse gas-emitting sources.
Conclusion
The study highlights the potential of DyMonDS to improve resiliency in power grids and reduce outages. By leveraging dynamic monitoring and decision systems, utilities can optimize their operations and make more informed decisions about grid planning and resource allocation. This approach has significant implications for sustainable electricity services and reducing greenhouse gas emissions.
