How Topology Optimization Could Make the US Power Grid More Efficient

Published August 21, 2026

The US power grid is facing a difficult capacity challenge. Electricity demand is rising as data centers, manufacturing, electrification and other large loads increase consumption, while new renewable generation is adding more power to regions that may be far from major demand centers. At the same time, building new transmission infrastructure can take years because of permitting, planning, land acquisition and construction requirements. This is creating greater interest in technologies that can improve how existing grid infrastructure is used. One example is topology optimization, an approach that allows grid operators to change the configuration of the transmission network to redirect electricity flows and relieve congestion. In August 2026, the Federal Energy Regulatory Commission approved a proposal from the Southwest Power Pool (SPP) to incorporate economic topology optimization into its congestion management framework. SPP has studied the approach for several years, with earlier analysis indicating potential annual market savings of approximately $18 million to $44 million.

What Is Topology Optimization?

Topology optimization refers to changing the electrical configuration of a transmission network to manage power flows more efficiently. A useful way to understand the concept is to compare the power grid with a road network. Transmission lines are roads, substations are intersections and electricity is the traffic moving through them. When too much traffic is concentrated on one road, the road can become congested. In a power system, a transmission line or other grid element can similarly reach its operating limit. Instead of immediately constructing another road, a traffic system could redirect vehicles through an existing alternative route. Topology optimization applies a similar principle to electricity. Specialized software analyzes the network and identifies configurations that can redirect power through less-utilized transmission facilities while maintaining reliability. These changes can involve altering the open or closed status of circuit breakers at substations. FERC describes topology optimization software as a grid-enhancing technology that can identify reconfiguration options to reroute power around congested transmission constraints. The physical transmission lines remain in place, but their electrical connections can be adjusted to change how electricity moves through the network. This makes topology optimization different from building a new transmission line or increasing the physical rating of an existing line. It is an operational strategy for making better use of the network that is already available.

Why Transmission Congestion Matters

Transmission congestion occurs when the grid cannot move electricity along a particular path without exceeding an operating limit. When that happens, grid operators have to adjust which power plants generate electricity and how much they produce. This process, known as redispatch, can increase electricity costs because a lower-cost generator may be unable to deliver its full output while a more expensive generator closer to demand is called upon instead. Congestion can also affect renewable generation. Wind and solar projects are frequently located in areas with strong natural resources, while many major electricity demand centers are located elsewhere. If transmission capacity between those locations is limited, renewable electricity may have to be curtailed even when the resource is available. FERC has highlighted topology optimization as a way to complement market redispatch by reducing congestion, improving reliability and mitigating renewable curtailment. SPP’s earlier studies illustrate the potential scale. Its analysis found that topology optimization could provide more than 25% average flow relief on the constraints examined, with estimated annual congestion savings of $18 million to $44 million under the studied reconfiguration criteria. The significance of these savings becomes clearer when considering that congestion costs can accumulate across thousands of grid constraints and market intervals. Even modest improvements in how electricity flows through an existing network can therefore have a measurable economic impact.

How SPP Is Using the Approach

SPP’s recent move gives topology optimization a more formal role in grid operations. SPP manages the wholesale electricity market and transmission system across a large central US footprint, where significant wind generation and long-distance power flows can create challenging congestion patterns. Under its economic topology optimization framework, potential network reconfigurations can be evaluated based on their expected economic and operational impacts. The objective is to identify configurations that reduce congestion while satisfying reliability requirements. SPP has been examining this concept for years. Its earlier pilot and studies found that topology optimization could reduce the frequency of transmission constraint violations and generate substantial market savings. One SPP analysis reported that the frequency of breached intervals fell from 34% to 8% in the studied application, alongside annual real-time market savings of more than $18 million to $44 million. FERC has also examined examples from both SPP and the Midcontinent Independent System Operator (MISO). In one SPP case study, a transmission reconfiguration was able to eliminate a transmission breach and avoid 285 MW of wind curtailment under the conditions analyzed. More recent FERC materials covering 22 topology optimization case studies found that identified reconfigurations could expand the effective capability of the studied grids by approximately 5% to 25% while meeting specified reliability requirements. These figures should be understood as case-study results rather than a universal increase in transmission capacity, but they demonstrate why grid operators are investigating the technology.

What Topology Optimization Can and Cannot Solve

Topology optimization is best viewed as an additional tool for grid operators rather than a substitute for transmission investment. It can potentially reduce congestion, improve the utilization of existing transmission assets, lower certain operating costs and reduce renewable curtailment. It can also provide temporary or operational relief while larger transmission projects are being planned and constructed. However, changing the network configuration does not create unlimited physical capacity. A transmission line still has thermal, voltage and stability limits, and some constraints require physical upgrades or entirely new infrastructure. Topology optimization also depends on accurate network models, real-time information, appropriate switching equipment and careful reliability analysis. FERC’s research emphasizes that reconfigurations must satisfy specified reliability criteria before they can be considered viable. The approach is therefore part of a broader group of grid-enhancing technologies designed to make the existing system more flexible. Other approaches include dynamic line ratings, advanced power-flow controls and improved software for market and grid planning. Interest is also spreading beyond SPP and MISO. ERCOT’s grid transformation roadmap, for example, identifies topology optimization as a technology initiative and lists a proof-of-concept implementation for 2026. This suggests that topology optimization could become increasingly relevant as regional grid operators look for ways to manage more complex electricity flows.

Conclusion

The US power grid will require substantial investment in new transmission infrastructure as electricity demand and generation patterns continue to change. At the same time, the value of existing infrastructure will become increasingly important. Topology optimization offers one way to improve that value by changing how electricity flows through the network rather than relying exclusively on new physical construction. The experience of SPP and MISO shows that network reconfiguration can potentially reduce congestion, improve reliability and generate meaningful economic savings under the right conditions. The technology also illustrates a broader shift in grid management. The future electricity system will depend increasingly on the ability to operate existing infrastructure with greater flexibility and precision. For grid operators facing rising demand, renewable integration and persistent transmission constraints, topology optimization could become one of the tools that helps bridge the gap between the grid that exists today and the grid that will be needed in the future.