If harnessed correctly, the wind could power the world 11 times over every year. But it’s a big challenge for power engineers to plan and operate wind farms that can harness energy effectively.
Optimization can help. In our recent webinar, Dr. Alireza Soroudi, Assistant Professor at the University College Dublin, walked through how to use optimization in several of today’s most pressing power scenarios, from planning a wind farm in Ireland to integrating gas and electrical grids. Here are some of the highlights of what he covered.
In a nutshell, optimization helps you make the best choices about the resources you have. You can think of it like this: You have a bit of money in your piggy bank, and you need to decide what you’re going to do with it. Are you going to spend it all on a 1-week cruise to Hawaii? Or are you going to spread it out over a year and buy books and coffee?
When it comes to power systems, optimization is about minimizing your costs and maximizing the efficiency and security of the system. You need to figure out how to generate enough power to meet demand, while spending as little money as possible.
For example, let’s say you want to set up a wind farm off the coast of Ireland. Good choice, as Ireland boasts nearly 300 wind farms that generate up to 30% of the country’s electricity, depending on the time of year. In this scenario, you’d need to account for many constraints, such as:
As you can see, there are often significant complexity and constraints to these sorts of power problems. But the way to approach them is simple:
To effectively model and solve power systems, you need the right process and tools. To learn more about what this looks like across various scenarios—from green hydrogen to uncertainty modeling—watch the webinar on-demand: Modern Power System Operation and Planning Under the Optimization Lens.
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