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Design of Energy Storage Friendly Regulation Signals using Empirical Mode Decomposition

Conference · · 2019 IEEE Power & Energy Society General Meeting (PESGM)

This paper presents an energy storage friendly regulation signal design method based on empirical mode decomposition (EMD). Battery energy storage systems (BESS) have a very fast response rate and excellent ramping capability, making them ideal resources for providing fast regulation services. However, the limitation in energy storage capacity prevents the BESS from following non-energy neutral signals for prolonged durations. The existing BESS-friendly regulation signal design uses the filter-based approach, which cannot guarantee the resultant fast changing signals are energy neutral. The EMD-based approach decomposes the raw regulation signal into an energy-neutral, fast-changing component and a slow-changing component. The fast and slow regulation signals obtained using the proposed method are compared with the PJM RegD and RegA signals. Simulation results and cost-benefit analysis demonstrate that both generators and BESSs have achieved better performance in terms of revenue, response rate, and lifetime when responding to the EMD-based regulation signals compared with the filter-based RegA and RegD signals.

Research Organization:
North Carolina State University, Raleigh, NC (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
DOE Contract Number:
EE0008770
OSTI ID:
2329509
Journal Information:
2019 IEEE Power & Energy Society General Meeting (PESGM), Conference: 2019 IEEE Power & Energy Society General Meeting (PESGM), 04-08 August 2019, Atlanta, GA, USA
Country of Publication:
United States
Language:
English

References (3)

Energy Storage and Regulation: An Analysis July 2016
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis March 1998
Control and Size Energy Storage Systems for Managing Energy Imbalance of Variable Generation Resources January 2015