Primary frequency regulation with load-side participation: stability and optimality
Andreas Kasis, Eoin Devane, and Ioannis Lestas

TL;DR
This paper introduces a distributed control method for power networks that guarantees stability, fairness, and optimality in primary frequency regulation by incorporating load-side participation and demand response.
Contribution
It provides a passivity-based framework ensuring stability and optimality with explicit steady state conditions, including demand control, and demonstrates improved system performance through simulations.
Findings
Inclusion of demand response reduces steady state frequency deviations.
Demand-side participation improves transient and steady state stability.
Dynamic demand response enhances robustness to time delays.
Abstract
We present a method to design distributed generation and demand control schemes for primary frequency regulation in power networks that guarantee asymptotic stability and ensure fairness of allocation. We impose a passivity condition on net power supply variables and provide explicit steady state conditions on a general class of generation and demand control dynamics that ensure convergence of solutions to equilibria that solve an appropriately constructed network optimization problem. We also show that the inclusion of controllable demand results in a drop in steady state frequency deviations. We discuss how various classes of dynamics used in recent studies fit within our framework and show that this allows for less conservative stability and optimality conditions. We illustrate our results with simulations on the IEEE 68 bus system and observe that both static and dynamic demand…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMicrogrid Control and Optimization · Power System Optimization and Stability · Smart Grid Energy Management
