Optimal Grid-Forming Control of Battery Energy Storage Systems Providing Multiple Services: Modelling and Experimental Validation
Francesco Gerini, Yihui Zuo, Rahul Gupta, Elena Vagnoni, Rachid, Cherkaoui, Mario Paolone

TL;DR
This paper develops and experimentally validates a comprehensive control framework for battery energy storage systems to efficiently provide multiple grid services, including frequency and voltage regulation, through a multi-phase optimization approach.
Contribution
It introduces a novel joint control and scheduling framework combining robust optimization, model predictive control, and convex optimization for grid-forming BESS providing multiple services.
Findings
Framework successfully dispatches BESS operations in real-world tests.
Experimental validation on a 720 kVA/560 kWh BESS demonstrates effectiveness.
Provides reliable frequency and voltage support under stochastic prosumption.
Abstract
This paper proposes and experimentally validates a joint control and scheduling framework for a grid-forming converter-interfaced BESS providing multiple services to the electrical grid. The framework is designed to dispatch the operation of a distribution feeder hosting heterogeneous prosumers according to a dispatch plan and provide frequency containment reserve and voltage control as additional services. The framework consists of three phases. In the day-ahead scheduling phase, a robust optimization problem is solved to compute the optimal dispatch plan and frequency droop coefficient, accounting for the uncertainty of the aggregated prosumption. In the intra-day phase, a model predictive control algorithm is used to compute the power set-point for the BESS to achieve the tracking of the dispatch plan. Finally, in a real-time stage, the power setpoint originated by the dispatch…
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Taxonomy
TopicsMicrogrid Control and Optimization · Advanced Battery Technologies Research · Smart Grid Energy Management
