Optimization of Frequency Controller Parameters of a BESS by considering Rate of Change Constraints

This paper presents a methodology to optimize the parameters of the frequency controller installed in a battery energy storage system (BESS) to minimize frequency deviation considering electricity system operator (ESO) imposed rate of change constraints. The problem is formulated with a non-linear programming (NLP) structure and the exterior penalty function (EPF) method is applied to solve it efficiently. The impact of the location of the BESS on the frequency nadir is quantified by simulations in a medium voltage (MV) distribution network benchmark with a high proportion of distributed energy resources (DER). Simulations are performed with detailed dynamic models in DIgSILENT
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Power Factor™ in combination with Python for data analysis and manipulation. Simulation results show the suitability of the proposed approach.