Design of Grid Forming Multi Timescale Coordinated Control Strategies for Dynamic Virtual Power Plants

This paper proposes a dynamic virtual power plant (DVPP) that enhances grid stability in weak networks by employing grid-forming control and a multi-timescale coordinated allocation strategy to effectively leverage the heterogeneous response characteristics of distributed energy resources.

Yan Tong, Qin Wang, Sihao Chen, Xue Hu, Zhaoyuan Wu

Published 2026-03-06
📖 4 min read☕ Coffee break read

Imagine the electrical grid as a massive, delicate orchestra. For decades, the "conductors" of this orchestra were giant, spinning steam turbines (traditional power plants). These machines had a natural physical weight (inertia) that kept the rhythm steady. If a musician stumbled, the heavy spinning wheels absorbed the shock, keeping the music smooth.

But today, we are replacing those heavy conductors with thousands of small, fast, but "weightless" digital musicians: solar panels, wind turbines, and batteries. While these new musicians are efficient and clean, they don't have that heavy spinning weight. If the rhythm gets off, the whole orchestra can fall apart very quickly.

This paper proposes a new way to organize these digital musicians into a Dynamic Virtual Power Plant (DVPP). Think of it as creating a "Super-Orchestra" that acts like a single, heavy, reliable power plant, even though it's made of many different, fast-moving parts.

Here is how they do it, broken down into three simple ideas:

1. The "Fake Weight" Trick (Grid-Forming Control)

In the old days, the spinning turbines naturally resisted changes in speed. The new digital devices usually just listen to the grid and copy it (like a mirror). But in a weak grid, mirrors can get shaky and cause chaos.

The authors suggest giving these digital devices a "brain" that acts like a Virtual Synchronous Generator (VSG).

  • The Analogy: Imagine a dancer who is very light on their feet. To keep from falling over when the music speeds up, they pretend to be holding a heavy backpack. This "fake weight" (virtual inertia) makes them react to changes more slowly and smoothly, just like a heavy machine would.
  • The Result: The digital devices stop just "copying" the grid and start "leading" it, providing the stability that the old heavy machines used to provide naturally.

2. The "Specialized Relay Team" (Multi-Timescale Coordination)

The biggest problem with mixing different energy sources is that they react at different speeds.

  • Solar/Wind: Slow to change (like a large truck taking time to turn).
  • Batteries: Fast to change (like a sports car).
  • Old Hydro/Thermal: Very slow but steady (like a cargo ship).

If you ask a sports car to do a cargo ship's job, it will burn out. If you ask a cargo ship to do a sports car's job, it will be too slow.

The paper introduces a Dynamic Participation Factor. Think of this as a Relay Race where the baton is passed based on who is best suited for the specific part of the race.

  • The High-Frequency Sprint (Milliseconds): When a sudden spike happens (like a lightning strike), the Supercapacitors and Batteries (the sprinters) instantly jump in to fix it. They are too fast for the others to handle.
  • The Middle Lap (Seconds/Minutes): As the sprinters get tired, the Wind and Solar (the middle-distance runners) take over to smooth out the ride.
  • The Long Haul (Hours): Finally, the Hydro or Thermal plants (the marathon runners) step in to handle the long-term, steady energy needs.

The system automatically assigns tasks based on who is fastest and who has the most energy, ensuring no one is overwhelmed.

3. The "Smart Conductor" (Dynamic Aggregation)

Instead of treating the power plant as a pile of random gadgets, the DVPP acts as a single, intelligent entity.

  • The Analogy: Imagine a traffic control center. Instead of telling every single car exactly where to drive, the center tells the "Fast Lane," the "Slow Lane," and the "Heavy Truck Lane" how to coordinate.
  • The Magic: The system uses filters (like low-pass, high-pass, and band-pass) to sort the problems. It sends the "fast" problems to the fast devices and the "slow" problems to the slow devices. This ensures the whole system responds perfectly to any disturbance, from a tiny flicker to a massive blackout.

The Bottom Line

The researchers tested this idea on a computer simulation of a power grid.

  • Without this system: When the grid got stressed, the frequency wobbled dangerously, and the system struggled to recover.
  • With this system: The "Super-Orchestra" held the rhythm perfectly. The fast devices caught the sudden shocks, the medium devices smoothed the transition, and the slow devices kept the long-term balance.

In short: This paper teaches us how to turn a chaotic crowd of fast and slow digital energy sources into a single, stable, and reliable power plant that can keep the lights on, even as we move away from traditional heavy machinery. It's about giving the right tool to the right job at the right speed.