Abstract
This paper presents both offline and online optimization techniques for the control of a multiple high voltage direct current link power system. A frequency control scheme based on classical proportional-integral-derivative controllers is proposed and optimally tuned offline using particle swarm optimization. The performance of this scheme is compared with the performance of a centralized model predictive control (MPC) scheme, and a distributed MPC scheme that uses only local communications. The results illustrate that a significant performance improvement can be achieved using distributed MPC instead of classical control, illustrating the potential of distributed MPC for use in future power networks.
| Original language | English |
|---|---|
| Article number | 6132437 |
| Pages (from-to) | 302-314 |
| Number of pages | 13 |
| Journal | IEEE Transactions on Control Systems Technology |
| Volume | 21 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Distributed control
- high voltage direct current (HVDC)
- model predictive control (MPC)
- multi-agent systems
- particle swarm optimization (PSO)
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