Real-time Control of Battery Energy Storage Systems to Provide Ancillary Services Considering Voltage-Dependent Capability of DC-AC Converters
Zhao Yuan, Antonio Zecchino, Rachid Cherkaoui, Mario Paolone

TL;DR
This paper presents a real-time control framework for battery energy storage systems that optimally manages ancillary services by considering converter capabilities and security constraints, validated through experiments.
Contribution
It introduces a convex reformulation of a nonconvex optimization problem for BESS control, enabling efficient and globally optimal real-time setpoint computation.
Findings
Achieved 100 ms update time for control setpoints.
Validated control framework on a 720 kVA BESS at EPFL.
Demonstrated improved computational efficiency and feasibility.
Abstract
Frequency response and voltage support are vital ancillary services for power grids. In this paper, we design and experimentally validate a real-time control framework for battery energy storage systems (BESSs) to provide ancillary services to power grids. The objective of the control system is to utilize the full capability of the BESSs to provide ancillary services. We take the voltage-dependent capability curve of the DC-AC converter and the security requirements of BESSs as constraints of the control system. The initial power set-points are obtained based on the droop control approach. To guarantee the feasibility of the power set-points with respect to both the converter capability and BESS security constraints, the final power set-points calculation is formulated as a nonconvex optimization problem. A convex and computationally efficient reformulation of the original control…
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Taxonomy
TopicsMicrogrid Control and Optimization · Advanced Battery Technologies Research · Smart Grid Energy Management
