For decades, utility asset management has largely focused on individual assets: assessing condition, estimating likelihood of failure, determining criticality, and deciding when they should be replaced.
But evaluating assets individually only gives us part of the picture. Effective planning requires an understanding of how those assets interact and contribute to the performance of the grid as a whole.
The modern electrical grid has become more complex than ever before, and the environment utilities are planning in (and for) is fundamentally changing:
- Electricity demand is evolving as transportation, buildings, and large loads electrify.
- Generation is increasingly distributed across rooftop solar, batteries, microgrids, and other resources.
- Automation and distributed energy resources are changing how power moves through the grid.
- Exposure to wildfire, extreme weather, and cyber threats is increasing.
- Utilities face greater regulatory expectations and pressure to maintain affordability.
Each of these shifts creates new needs across the organization, all at the same time. Planning the system requires understanding how those needs and assets interact.
Yet, planning is still disconnected across functions. Reliability teams, capacity planners, resilience experts, and field inspection crews often operate in functional silos, relying on legacy Enterprise Asset Management (EAM), Asset Performance Management (APM), Geographic Information Systems (GIS), or disconnected spreadsheets.
Legacy processes and methodologies are no longer adequate in the face of increasing grid complexities. Different processes are measuring success against different objectives.
This fragmented approach creates a fundamental operational headache: how do you systematically collect needs from across every department, identify the right mix of solutions, and optimize spend to deliver the highest possible grid performance under tight constraints?
The answer requires moving past disjointed objectives and processes toward Integrated Grid Planning (IGP).
What is Integrated Grid Planning?
IGP is a methodology for treating the grid as a system rather than just a collection of individual assets and programs. It brings together needs from across the organization, evaluates how those needs affect grid performance, identifies potential investments and interventions, and compares those investments across the portfolio to optimize spend and resources.
From there, utilities should test different versions of the plan to answer questions like:
- What happens if the budget changes?
- What if one program takes priority?
- What if resource availability changes?
- What if costs or climate assumptions change?
The goal of IGP is to understand which combination of investments delivers the strongest overall grid performance within real-world constraints.
Putting IGP into practice means bringing together data, analysis, and decisions that have historically lived in separate systems and teams. New technologies like ENGIN make that possible at the scale a modern grid requires.
Learn the four steps that need to be taken.