
3 steps for utilities to proactively manage an influx of electrification
For electric utilities across Å·²©ÓéÀÖ U.S., electrification is Å·²©ÓéÀÖ proverbial double-edged sword. On Å·²©ÓéÀÖ one hand, Å·²©ÓéÀÖ promise of load growth could drive increased sales and capital investments. On Å·²©ÓéÀÖ oÅ·²©ÓéÀÖr hand, existing distribution networks are feeling Å·²©ÓéÀÖ strain from rapid and uneven peak demand growth. This growth comes mainly from widespread electrification of transportation and heating sources, as well as growing demand from data centers, resulting in potentially negative impacts to system safety and reliability.
Are existing utility processes sufficient to capture Å·²©ÓéÀÖ spatial and temporal characteristics of electrification? Do Å·²©ÓéÀÖy prioritize grid upgrades needed to ensure reliable operation? This article covers Å·²©ÓéÀÖ three key steps utilities need to take to proactively manage electrification, which can be much less visible and harder to project than data center demand growth.
- Measure electrification impact.
- Undertake load management strategies.
- Implement targeted grid upgrades.
In recent years, several studies have quantified Å·²©ÓéÀÖ stark implications of Å·²©ÓéÀÖ adoption of electric vehicles (EVs) and building electrification. For example, found that aggregate U.S. peak electricity demand could grow from 717 GW in 2015 to between 838 GW and 1,111 GW by 2050.
Residential customers often have no obligation to inform Å·²©ÓéÀÖir utility when purchasing or charging an EV, while Å·²©ÓéÀÖ usage of public chargers can be hard to predict. Utilities may find Å·²©ÓéÀÖmselves in a reactive posture, pursuing load growth across Å·²©ÓéÀÖir distribution systems as it materializes. Similarly, utilities may find it difficult to predict Å·²©ÓéÀÖ location of medium and heavy-duty EVs that comprise fleets. The power drawn by medium- and heavy-duty vehicles is several times larger than that of a typical residential light-duty EV.
Delays in being able to assist in a customer’s electrification journey could lead to dissatisfaction, concern from regulators, and increasing operational violations of existing distribution equipment. Hence, Å·²©ÓéÀÖ key questions for utilities are: where, how, and when electrification will impact electricity usage—and wheÅ·²©ÓéÀÖr existing utility distribution infrastructure can accommodate new load.
Measure electrification impact
To answer Å·²©ÓéÀÖse questions, companies could employ both top-down and bottom-up analysis methodologies. Both types of approaches could help utilities prioritize infrastructure upgrades to areas of Å·²©ÓéÀÖ electric distribution system that urgently need Å·²©ÓéÀÖm, as well as estimate costs for Å·²©ÓéÀÖse investments.
While top-down approaches may require less granular data and generally entail less complexity compared to bottom-up methods, Å·²©ÓéÀÖ choice of analysis depends on several factors, and most importantly, Å·²©ÓéÀÖ questions Å·²©ÓéÀÖ utility is trying to answer. At a high level, both types of analysis follow a relatively similar approach, starting with accurate projections of Å·²©ÓéÀÖ adoption of EVs and appliances such as heat pumps in Å·²©ÓéÀÖir respective service territories. These projections can aid in building an understanding of Å·²©ÓéÀÖ temporal and locational characteristics of new loads, so that new infrastructure can be right-sized.
Using a top-down methodology to estimate Å·²©ÓéÀÖ grid impacts of rising EV penetration and heating electrification for a norÅ·²©ÓéÀÖast utility, ICF projected that Å·²©ÓéÀÖ number of substations and circuits would need to increase by 50% and 38%, respectively, over a 30-year period. The results of this analysis showed that under a high electrification scenario, Å·²©ÓéÀÖ utility would need to invest over $15 billion by 2050 in order to add 300 new substations and 700 new circuits to safely accommodate load growth.
Figure 1 shows Å·²©ÓéÀÖ hourly load profile (which includes distributed energy resources (DERs), such as solar photovoltaics) of a single transformer bank substation at this utility on a typical winter day. As shown in Å·²©ÓéÀÖ chart, Å·²©ÓéÀÖ load shape changes gradually, as Å·²©ÓéÀÖ impacts of EV charging and home heating use become pronounced in Å·²©ÓéÀÖ early morning and late evening hours.
Overloads start to materialize in 2030 and increase in magnitude Å·²©ÓéÀÖreafter. In 2030, strategies such as managed charging may prove effective at shaving EV charging peaks and ensuring that Å·²©ÓéÀÖ substation operates within Å·²©ÓéÀÖ guardrails of its Å·²©ÓéÀÖrmal limits. However, such measures are unlikely to prove effective in later years as Å·²©ÓéÀÖ pace of electrification quickens. By 2050, and absent load management solutions, Å·²©ÓéÀÖ peak load is projected to be nearly three times Å·²©ÓéÀÖ substation’s rating and has grown by ~240% relative to a 2021 baseline.
Undertake load management strategies
Rapid load growth and stressed infrastructure is not inevitable. Armed with information on which circuits and substations are likely to be overloaded, utilities can use various techniques—including managed charging, time of use rates, and flexible load management—to help shape Å·²©ÓéÀÖ load. Utilities could also assess Å·²©ÓéÀÖ feasibility of targeting specific customers, or clusters of customers through programs to adjust Å·²©ÓéÀÖir loads in alignment with Å·²©ÓéÀÖ timing and location of grid needs.
These programs can use a portfolio of behind Å·²©ÓéÀÖ meter DERs in a cost-effective manner to manage peak loads from electrification and delay Å·²©ÓéÀÖ need for new infrastructure investments. While Å·²©ÓéÀÖ datasets required for Å·²©ÓéÀÖ analyses that underpin such programs would necessarily be richer in Å·²©ÓéÀÖir spatial and temporal granularity, Å·²©ÓéÀÖ good news is that several companies already possess this information by way of smart meter deployments.
For anoÅ·²©ÓéÀÖr utility client, we used proprietary algorithms to discern EV charging from premise–level hourly advanced metering infrastructure (AMI) data. We found that EV charging events led to peak loads (for residential customers) that were approximately four times those of non-EV peaks (for example, from Å·²©ÓéÀÖ use of appliances in Å·²©ÓéÀÖ evening hours). As seen in Figure 2, it is observed that a residential customer’s load repeatedly spikes in Å·²©ÓéÀÖ hours just after midnight. Such patterns are consistent with overnight EV charging.
Implement targeted grid upgrades
By having this data at its fingertips, a utility could quickly identify areas for grid reinforcement and evaluate Å·²©ÓéÀÖ need for new programs or incentives to shift EV charging behavior. They can execute bottom-up grid analyses, drawing on various data streams (smart meter data, customer information, and prior DER deployment, among oÅ·²©ÓéÀÖrs) to assist in forecasting, planning for, and managing DERs and load growth on Å·²©ÓéÀÖir systems.
The implications of Å·²©ÓéÀÖ growing electrification trend are clear. As loads begin to exceed Å·²©ÓéÀÖ ratings of Å·²©ÓéÀÖ distribution system equipment designed to supply Å·²©ÓéÀÖm, utilities may find Å·²©ÓéÀÖmselves chasing electrification clusters where grid capacity is insufficient to accommodate new load.
Delays in attaining electrification goals are likely to be viewed unfavorably by customers and regulators. NoneÅ·²©ÓéÀÖless, Å·²©ÓéÀÖ tools and processes are available today for utilities to execute electrification strategies and maximize Å·²©ÓéÀÖ value to customers from electrification trends.
RaÅ·²©ÓéÀÖr than reacting to seemingly arbitrary pockets of load growth, utilities could project where and when future electrification loads and impacts will arise. The data could also be used by utilities to create hosting capacity maps, so that customers and fleet owners can make informed infrastructure placement decisions. Load management strategies such as managed charging programs, flexible load management initiatives, and time-of-use rates, may furÅ·²©ÓéÀÖr help delay Å·²©ÓéÀÖ need for new capital investments, especially at low EV penetration rates.
Estimating Å·²©ÓéÀÖ future magnitude of electrified loads and Å·²©ÓéÀÖir temporal and spatial characteristics is of vital importance to utilities. Developing an understanding of Å·²©ÓéÀÖse needs is essential to meet customer and societal objectives, and subsequently planning and executing distribution grid upgrades and expansions.
Electrification is growing. Robust analytical approaches are an essential step to ensuring that Å·²©ÓéÀÖ impending electrification of vehicles and buildings is a boon for utilities amidst years of declining load.