Every grid is facing a steep increase in the amount of renewable energy sources supplying them. In fact, by 2026, global renewable electricity capacity is forecast to rise more than 60% from 2020 levels . In 2022 alone, the amount of renewable power capacity rose by a quarter. And by early 2025, renewables are set to account for over 90% of global electricity expansion.
One of the most significant challenges brought by increasing renewables penetration is added costs. As the number of renewables penetrating the grid increases, so does the amount of added costs utilities are exposed to – some routine, some not.
For example, there’s the costs of managing grid inertia, which rise with increasing penetration levels and can reach hundreds of millions of dollars. There is also the potential for more frequent and severe grid violations resulting from improper intermittent energy patterns, skyrocketing customer demand, and higher peak loads over short time periods. And virtually all utilities are wondering if their grids can accommodate the explosive growth of electric vehicles (EVs) in the coming years – a very valid concern, as not only is the number of plug-in vehicles requiring electricity expected to triple by 2025, but the number of EV charging connectors will need to increase nearly eightfold by 2030.
Luckily, grid orchestration software can help. GridOS is the first software portfolio designed specifically for grid orchestration. It can help solve system-wide, renewables and Distributed Energy Resources (DERs) -related challenges across generation, power grid transmission, distribution, and the edge – including costs and expenditure optimization.
Here are a few examples of GridOS in action that can help optimize costs: