Plug-and-Play Control and Optimization in Power Systems
Event details
| Date | 30.10.2015 |
| Hour | 10:15 › 11:15 |
| Speaker | Florian Doerfler, ETHZ |
| Location | |
| Category | Conferences - Seminars |
The conventional power systems operation architecture consists of a hierarchical layering of primary control, secondary regulation, and tertiary optimization. These three layers range from fast to slow time scales, from model-free feedback control to model-based optimization, and from fully decentralized to centralized decision architectures. The increasing integration of distributed generation challenges this hierarchical architecture due to larger and faster fluctuations in renewable power supply, liberalized energy markets, and the lack of central decision-making authorities. In such a distributed generation environment conventional operation strategies, such as secondary frequency control, centralized generation dispatch, and market clearing mechanisms, are not feasible. As a supplement, distributed operation strategies through inverter-based sources, controllable loads, and fast-ramping generators have been extensively studied.
In this seminar, we explore novel operation strategies for the three control and optimization layers and illuminate some possibly-unexpected connections and dependencies among them. We build upon a primary droop control strategy and motivate the need for additional secondary regulation. We find that averaging-based distributed secondary controllers offer the best combination of flexibility and performance. We further leverage these results to study the economic generation dispatch in a tertiary control layer. Surprisingly, we show that the minimizers of the economic dispatch optimization problem are in one-to-one correspondence with the set of steady-states reachable by droop control. This equivalence results in simple guidelines to select the control coefficients to achieve primary, secondary, and tertiary control without time scale separations and in a model-free and distributed fashion.
Finally, we stress the idealistic assumptions underlying any droop-based control architecture and propose two alternatives: a virtual oscillator control paradigm that includes primary droop control as well as an online power flow optimization framework to replace secondary and tertiary control. We illustrate the performance and robustness of all of our designs through simulation studies and small-scale microgrid experiments.
Bio:My research interests are centered around distributed control in complex, cyber-physical, and networked systems with applications to energy systems and coordination in multi-agent systems.
In this seminar, we explore novel operation strategies for the three control and optimization layers and illuminate some possibly-unexpected connections and dependencies among them. We build upon a primary droop control strategy and motivate the need for additional secondary regulation. We find that averaging-based distributed secondary controllers offer the best combination of flexibility and performance. We further leverage these results to study the economic generation dispatch in a tertiary control layer. Surprisingly, we show that the minimizers of the economic dispatch optimization problem are in one-to-one correspondence with the set of steady-states reachable by droop control. This equivalence results in simple guidelines to select the control coefficients to achieve primary, secondary, and tertiary control without time scale separations and in a model-free and distributed fashion.
Finally, we stress the idealistic assumptions underlying any droop-based control architecture and propose two alternatives: a virtual oscillator control paradigm that includes primary droop control as well as an online power flow optimization framework to replace secondary and tertiary control. We illustrate the performance and robustness of all of our designs through simulation studies and small-scale microgrid experiments.
Bio:My research interests are centered around distributed control in complex, cyber-physical, and networked systems with applications to energy systems and coordination in multi-agent systems.
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