Constrained Potential Function—Based Control of Microgrids for Improved Dynamic Performance

Abstract

In the context of the smart grid, this paper focuses on control and management strategies for integration of distributed energy resources in the power system. This work conceptualizes a hierarchical framework for the control of microgrids-the building blocks of the smart grid-and develops the notion of potential functions for the secondary controller for devising intermediate set points to ensure feasibility of operation. A potential function is defined for each controllable unit of the microgrid such that minimizing the potential function corresponds to achieving the control goal. The set points are dynamically updated using communication within the microgrid. This strategy is generalized to include both local and system-wide constraints. Case studies are presented that show effectiveness of the proposed approach in stabilizing a microgrid in response to disturbances such as load change, line outage, and generator malfunctioning.

Hybrid adaptive framework for coordinated control of distributed generators in cyber‐physical energy systems

“…Augmenting the distribution system with communication for better voltage and frequency control has been under consideration for some time [14]. The usage of distributed [15–17] control framework with communication has gained importance over a centralised [18, 19] scheme as it enhances the reliability and scalability of the system. For example, Xin et al [20] talk about a cooperative control strategy for multiple solar plants using minimal communications.…”

Handling multi‐parametric variations in distributed control of cyber‐physical energy systems through optimal communication design

“…Ameliorating distribution systems with communication have been widely studied for quite some time [10]. The usage of distributed [11,12] control framework with communication has gained importance over a centralised [13,14] scheme as it enhances the reliability and scalability of the system. For instance, Xin et al [15] talk about a cooperative control strategy for multiple solar plants using minimal communications.…”