Papers
Topics
Authors
Recent
Search
2000 character limit reached

A Benchmark for the Application of Distributed Control Techniques to the Electricity Network of the European Economic Area

Published 21 Mar 2024 in eess.SY and cs.SY | (2403.14372v3)

Abstract: The European Economic Area Electricity Network Benchmark (EEA-ENB) is a multi-area power system representing the European network of transmission systems for electricity to facilitate the application of distributed control techniques. In the EEA-ENB we consider the Load Frequency Control (LFC) problem in the presence of renewable energy sources (RESs), and energy storage systems (ESSs). RESs are known to cause instability in power networks due to their inertia-less and intermittent characteristics, while ESSs are introduced as a resource to mitigate the problem. In the EEA-ENB, particular attention is dedicated to Distributed Model Predictive Control (DMPC), whose application is often limited to small and homogeneous test cases due to the lack of standardized large-scale scenarios for testing, and due to the large computation time required to obtain a centralized MPC action for performance comparison with DMPC strategies under consideration. The second problem is exacerbated when the scale of the system grows. To address these challenges and to provide a real-world-based and control-independent benchmark, the EEA-ENB has been developed. The benchmark includes a centralized MPC strategy providing performance and computation time metrics to compare distributed control within a repeatable and realistic simulation environment.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (23)
  1. ENTSO-E. European Network of Transmission System Operators for Electricity. https://www.entsoe.eu.
  2. Power and Energy. IEEE DataPort. https://ieee-dataport.org/topic-tags/power-and-energy.
  3. A. Bemporad and M. Morari. Robust model predictive control: A survey. In A. Garulli and A. Tesi, editors, Robustness in Identification and Control, pages 207–226. 1999.
  4. H. Bevrani. Robust Power System Frequency Control. Springer, 2014.
  5. Load frequency control of microgrid system by battery and pumped-hydro energy storage. Water, 14:1–22, 2022.
  6. Bat inspired algorithm based optimal design of model predictive load frequency control. International Journal of Electrical Power & Energy Systems, 83:426–433, 2016.
  7. Model predictive load-frequency control. IEEE Transactions on Power Systems, 31:777–785, 2016.
  8. Coalitional control: Cooperative game theory and control. IEEE Control Systems, 37:53–69, 2017.
  9. The megawatt-frequency control problem: A new approach via optimal control theory. IEEE Transactions on Power Apparatus and Systems, 89:563–577, 1970.
  10. H. Golpîra and H. Bevrani. A framework for economic load frequency control design using modified multi-objective genetic algorithm. Electric Power Components and Systems, 42:788–797, 2014.
  11. Load frequency control using hybrid intelligent optimization technique for multi-source power systems. Energies, 14:1–16, 2021.
  12. A survey on power system blackout and cascading events: Research motivations and challenges. Energies, 12:1–28, 2019.
  13. Cooperation-based distributed economic MPC for economic load dispatch and load frequency control of interconnected power systems. IEEE Transactions on Power Systems, 34:3964–3966, 2019.
  14. R. Kumar and V. K. Sharma. Whale optimization controller for load frequency control of a two-area multi-source deregulated power system. International Journal of Fuzzy Systems, 22:122–137, 2020.
  15. Power System Stability and Control. McGraw Hill, second edition, 2022.
  16. J. M. Maestre and R. R. Negenborn, editors. Distributed Model Predictive Control Made Easy. Springer, 2014.
  17. Constrained model predictive control: Stability and optimality. Automatica, 36:789–814, 2000.
  18. A model predictive control approach to microgrid operation optimization. IEEE Transactions on Control Systems Technology, 22:1813–1827, 2014.
  19. Load frequency control in two-area multi-source power system using bald eagle-sparrow search optimization tuned PID controller. Energies, 16:1–25, 2023.
  20. M. Ranjan and R. Shankar. A literature survey on load frequency control considering renewable energy integration in power system: Recent trends and future prospects. Journal of Energy Storage, 45:1–33, 2022.
  21. European economic area electricity network benchmark, https://doi.org/10.4121/90ada13d-a6c9-4e4c-a046-2b984595bcdd, 2023.
  22. Energy-storage modeling: State-of-the-art and future research directions. IEEE Transactions on Power Systems, 37:860–875, 2022.
  23. Distributed LQR design for a class of large-scale multi-area power systems. Energies, 12:1–28, 2019.

Summary

No one has generated a summary of this paper yet.

Sign Up to Summarize

Paper to Video (Beta)

No one has generated a video about this paper yet.

Sign Up to Generate All Videos Subscribe on YouTube

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Sign Up to Generate

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Generate Now

Continue Learning

We haven't generated follow-up questions for this paper yet.

Generate Now

Collections

Sign up for free to add this paper to one or more collections.

Sign Up