Large‐Scale Battery Inverter and Energy Capacity Sizing for Frequency Control Ancillary Services With High Share of Solar‐PV Generation: A Data‐Driven Approach

ABSTRACT Power generation from inverter‐based renewable energy sources (RESs), such as solar photovoltaics (PVs), is increasing rapidly in power systems while leading to operational challenges such as frequency regulation. Battery energy storage systems (BESS) have attracted much attention in providing frequency control ancillary services (FCAS), as they provide flexibility to store and release energy when required. With a larger inverter size and energy capacity, BESS can provide more frequency support to the grid but will incur large capital costs. Thus, it is important to minimise the size of the battery while ensuring system security requirements are fulfilled. In this paper, a large‐scale BESS sizing framework is developed to obtain the optimal battery inverter size and energy capacity. The proposed framework determines the battery size based on two aspects: (i) contingency frequency control ancillary services (C‐FCAS) to provide primary frequency support after a generator outage event and (ii) regulating frequency control ancillary service (R‐FCAS) to match the power imbalance caused by the normal variation of load demand and RES generation. This paper also investigates the highest RES penetration level and the largest number of synchronous generators (SGs) that can be simultaneously reduced as the share of RESs increases. The effectiveness of the developed large‐scale BESS sizing framework is tested on the Alice Springs power grid in Northern Territory, Australia. According to the study, the FCAS battery designed based on the proposed framework can fulfil the frequency support requirements under high solar‐PV penetration in the Alice Springs power grid while significantly reducing the dependency on synchronous generators.

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Publication Details

Journal
IET Energy Systems Integration
Published
2025-01-01
DOI
https://doi.org/10.1049/esi2.70003
Citations
4
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
4.86

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article

Large‐Scale Battery Inverter and Energy Capacity Sizing for Frequency Control Ancillary Services With High Share of Solar‐PV Generation: A Data‐Driven Approach

Hui Song, Lasantha Meegahapola, Mahdi Jalili, Geoff Dickson et al.
4 citations
IET Energy Systems Integration
Microgrid Control and Optimization
4.86
article

Large‐Scale Battery Inverter and Energy Capacity Sizing for Frequency Control Ancillary Services With High Share of Solar‐PV Generation: A Data‐Driven Approach

Hui Song, Lasantha Meegahapola, Mahdi Jalili, Geoff Dickson, Mingchen Gu, Xinghuo Yu, Chen Liu
article en
4 citations

Abstract

ABSTRACT Power generation from inverter‐based renewable energy sources (RESs), such as solar photovoltaics (PVs), is increasing rapidly in power systems while leading to operational challenges such as frequency regulation. Battery energy storage systems (BESS) have attracted much attention in providing frequency control ancillary services (FCAS), as they provide flexibility to store and release energy when required. With a larger inverter size and energy capacity, BESS can provide more frequency support to the grid but will incur large capital costs. Thus, it is important to minimise the size of the battery while ensuring system security requirements are fulfilled. In this paper, a large‐scale BESS sizing framework is developed to obtain the optimal battery inverter size and energy capacity. The proposed framework determines the battery size based on two aspects: (i) contingency frequency control ancillary services (C‐FCAS) to provide primary frequency support after a generator outage event and (ii) regulating frequency control ancillary service (R‐FCAS) to match the power imbalance caused by the normal variation of load demand and RES generation. This paper also investigates the highest RES penetration level and the largest number of synchronous generators (SGs) that can be simultaneously reduced as the share of RESs increases. The effectiveness of the developed large‐scale BESS sizing framework is tested on the Alice Springs power grid in Northern Territory, Australia. According to the study, the FCAS battery designed based on the proposed framework can fulfil the frequency support requirements under high solar‐PV penetration in the Alice Springs power grid while significantly reducing the dependency on synchronous generators.

IET Energy Systems IntegrationVol. 7(1)
RMIT University (AU)
Australian Government, Department of Industry, Science, Energy and Resources, Australian Government
Openalex Percentile: Top 5%
Microgrid Control and Optimization
4.86
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