2021
DOI: 10.1002/2050-7038.13220
|View full text |Cite
|
Sign up to set email alerts
|

Comprehensive control method of energy storage system to participate in primary frequency regulation with adaptive state of charge recovery

Abstract: This paper proposed a comprehensive control method for energy storage system (ESS) participating in primary frequency regulation (PFR). The integrated control strategy consists of PFR stage and "stage of charge" (SOC) recovery stage. In the PFR stage, the virtual droop control and virtual inertia control are combined and applied in the frequency deterioration phase to reduce the frequency deviation. The virtual negative inertia control coupled with virtual droop control is used in the frequency recovery phase … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 19 publications
0
3
0
Order By: Relevance
“…When the energy storage battery responds to the demand of system frequency regulation, if it has been operating with a given inertia/sag coefficient, it is very easy to saturate or exhaust the energy storage capacity due to the excessive frequency deviation in some time periods. In previous studies, many experts and scholars have improved the fixed inertia/sag coefficient control [22,23], and the more typical ones are the variable coefficient control [24], however, the previous control strategies focus on establishing a simple linear constraint between the storage inertia/sag coefficients K VIC B and K VDC B and the SOC. This alleviates the problem of overcharge and overdischarge of the energy storage battery to a certain extent, but at the same time, there are two main problems: one is weakening of the fast response characteristics of the energy storage battery, and the other is a secondary perturbation of the system frequency when its own SOC reaches the critical point.…”
Section: Improved Generalized Logistic Function Design Methods Based ...mentioning
confidence: 99%
“…When the energy storage battery responds to the demand of system frequency regulation, if it has been operating with a given inertia/sag coefficient, it is very easy to saturate or exhaust the energy storage capacity due to the excessive frequency deviation in some time periods. In previous studies, many experts and scholars have improved the fixed inertia/sag coefficient control [22,23], and the more typical ones are the variable coefficient control [24], however, the previous control strategies focus on establishing a simple linear constraint between the storage inertia/sag coefficients K VIC B and K VDC B and the SOC. This alleviates the problem of overcharge and overdischarge of the energy storage battery to a certain extent, but at the same time, there are two main problems: one is weakening of the fast response characteristics of the energy storage battery, and the other is a secondary perturbation of the system frequency when its own SOC reaches the critical point.…”
Section: Improved Generalized Logistic Function Design Methods Based ...mentioning
confidence: 99%
“…(1) Te system reference frequency f is set to 50 Hz; Δf is grid frequency deviation; the dead partition range of system frequency regulation is |Δf| ≤ 0.033 Hz, that is, when the system frequency is within ±0.033 Hz, the BESS does not participate in frequency regulation [24]. (2) If the system frequency fuctuation beyond the dead partition, it is necessary to judge the battery SOC.…”
Section: Battery Energy Storage Integrated Control Strategymentioning
confidence: 99%
“…In most studies, an SoC reference value required to regulate the SoC of the ESS is set as a constant. This fixed value must be adjusted to avoid frequent charging and discharging of the ESS because it is not the same as the target value [27]. Therefore, in this study, the operation of the ESS was subject to the SoC range constraint to limit its output power according to the SoC and prevent the aforementioned issue when it participates in FR.…”
Section: Ess Control Algorithmmentioning
confidence: 99%