Interested in booking a GridPath training session for your team? Reach out today!
Advanced software for power system planning
GridPath is a versatile grid-analytics platform developed and maintained by Sylvan Energy Analytics. The GridPath platform allows for integration across capacity expansion, production cost, and resource adequacy analyses for planning and asset valuation applications, all within the same software ecosystem and leveraging a common database structure.
Designed to promote innovation in clean energy planning
GridPath was developed to catalyze innovation in resource planning and decarbonization strategy. It is designed to empower users to navigate the complexities of modern power systems. Whether it’s planning for resource adequacy, assessing the impacts of new regulatory frameworks, or evaluating the integration of renewable energy sources, GridPath's comprehensive capabilities can provide the detailed, actionable insights needed to make informed decisions.
Built by industry practitioners for today's realities and tomorrow's planning questions
Developed by industry practitioners, GridPath is designed to address real-world challenges. Its flexible, modular architecture adapts easily to different systems and emerging technologies, making it a powerful tool for both current and future grid planning questions. GridPath includes database-building tools, an interactive results-visualization suite, and extensive validation and testing suites.
Open-source and customizable
GridPath is open-source and available on GitHub, with comprehensive documentation on Read the Docs.
Trusted by industry leaders with unique planning needs
GridPath is trusted by a diverse set of organizations, including utilities, system operators, regulatory agencies, national laboratories, consulting firms, and NGOs. Users and contributors have included Portland General Electric, Seattle City Light, Ava Community Energy, Valley Clean Energy, Pacific Northwest National Laboratory, Lawrence Berkeley National Laboratory, Grid-India, Environment and Climate Change Canada, Telos Energy, Energy Strategies, First Principles Advisory, Strategen, UCSB CET Lab, World Resources Institute, and Prayas Energy Group, among others.
Key features
GridPath’s flexible architecture makes all of the listed features available across capacity expansion, production cost, and resource adequacy applications. Users can fully specify the level of complexity in each model based on the nature of their planning problem and the available computational resources.
Capacity Expansion
Fully customizable temporal granularity, geo-spatial granularity, and sampling methodology
Endogenous retirements, transmission expansion, and DSM selection
ELCC curves and/or critical periods-based resource adequacy constraints
Stochastic optimization for planning under uncertainty*
Automated integration with resource adequacy and production cost modeling via iterative optimization*
Production Cost
Multi-stage scheduling, commitment, and dispatch optimization
Fully customizable temporal and geo-spatial granularity
Zonal, nodal pipe flow, and DC power flow transmission options
Contingency and flexibility reserve requirements
Wholesale market representation
Cascading hydropower flow constraints
Resource Adequacy
Time-sequential and energy-constrained dispatch simulation
Zonal transmission constraints and path limits
Contingency reserve requirements
Synchronized or Monte Carlo weather treatment for loads and resource availability over wide areas
Weather-driven Monte Carlo outages
*Some features not available in open source version at this time.
Interested in booking a GridPath training session for your team? Reach out today!

