Hybrid Transmission Distribution Co-simulation: Frequency Regulation using Battery Energy Storage

TL;DR

This paper introduces a hybrid T&D co-simulation framework to evaluate the role of battery energy storage systems in providing frequency regulation amidst high variability of distributed energy resources, improving system response analysis.

Contribution

It develops an iterative coupled T&D co-simulation method that captures complex interactions for better planning of BESS integration for frequency regulation.

Findings

Enhanced visualization of AGC response with high DER variability

Demonstrated effectiveness of BESS in frequency regulation

Improved understanding of T&D system interactions

Abstract

Battery energy storage systems (BESS) are proving to be an effective solution in providing frequency regulation services to the bulk grid. However, there are several concerns for the transmission/distribution system operators (TSO/DSO) with the frequent dispatching of the distribution-connected fast-responding storage systems. Unfortunately, the existing decoupled models for transmission and distribution (T&D) simulations are unable to capture the complex interactions between the two systems especially concerning frequency regulation problems due to rapidly varying distribution-connected distributed energy resources (DERs). In this paper, an iteratively coupled T&D hybrid co-simulation framework is developed to facilitate the planning studies for the system operators to help integrate distribution-connected BESS in providing frequency regulation services in response to highly variable DERs such as photovoltaic generation (PVs). Specifically, the proposed framework helps evaluate: (1) the effects of distribution-connected DERs/PVs on the response of the system's automatic generation control (AGC) response, and (2) highlights the use of BESS in providing frequency regulation services using integrated T&D model. The proposed framework is demonstrated using the IEEE 9-bus transmission system model (operating in dynamics mode) coupled with multiple EPRI Ckt-24 distribution system models (operating in quasi-static mode). It is shown that the proposed co-simulation framework helps better visualize the system AGC response and frequency regulation especially in the presence of high-levels of DER generation variability requiring frequent dispatch of BESS.