Review of Battery Energy Storage Systems Modeling in Microgrids with Renewables Considering Battery Degradation

Shamarova, Nataliia; Suslov, Konstantin; Ilyushin, Pavel; Shushpanov, Ilia

doi:10.3390/en15196967

Cited by 27 publications

(5 citation statements)

References 111 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The modelization is characterized by mathematically constructed models that utilize the observed data and measurements to represent the behavior and performance of BESS systems. These models are developed by an analysis of real-world operational data and the characteristics gathered from datasheets or experiments, allowing for them to capture the key relationships and patterns between various parameters [26,27]. By leveraging statistical techniques, regression analyses, or other mathematical approaches, empirical models provide a parametric representation of how different factors, such as battery lifetime, efficiency, and capacity, interact and impact the overall performance of BESS systems [9].…”

Section: Modelingmentioning

confidence: 99%

A Model-Aware Comprehensive Tool for Battery Energy Storage System Sizing

Spiller,

Rancilio,

Bovera

et al. 2023

Energies

View full text Add to dashboard Cite

This paper presents a parametric procedure to size a hybrid system consisting of renewable generation (wind turbines and photovoltaic panels) and Battery Energy Storage Systems (BESS). To cope with the increasing installation of grid-scale BESS, an innovative, fast and flexible procedure for evaluating an efficient size for this asset has been developed. The tool exploits a high-fidelity empirical model to assess stand-alone BESS or hybrid power plants under different service stacking configurations. The economic performance has been evaluated considering the revenue stacking that occurs when participating in up to four distinct energy markets and the degradation of the BESS performances due to both cycle- and calendar-aging. The parametric nature of the tool enables the investigation of a wide range of system parameters, including novel BESS control logic, market prices, and energy production. The presented outcomes detail the techno-economic performances of a hybrid system over a 20-year scenario, proposing a sensitivity analysis of both technical and economic parameters. The case study results highlight the necessity of steering BESS investment towards the coupling of RES and accurate planning of the service stacking. Indeed, the implementation of a storage system in an energy district improves the internal rate of return of the project by up to 10% in the best-case scenario. Moreover, accurate service stacking has shown a boost in revenues by up to 44% with the same degradation.

show abstract

Section: Modelingmentioning

confidence: 99%

A Model-Aware Comprehensive Tool for Battery Energy Storage System Sizing

Spiller,

Rancilio,

Bovera

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

“…Calendar ageing is associated with the fading of battery capacity while stored without use, and cycling ageing is primarily dependent on the charging and discharging rates. Cycle ageing is also affected by temperature and depth of discharge (DoD) [29]. In terms of evaluating the battery health of an operational BESS, cycle ageing is a more crucial factor compared to calendar ageing.…”

Section: Battery Energy Storage Systems In Mgsmentioning

confidence: 99%

Battery Energy Storage Capacity Estimation for Microgrids Using Digital Twin Concept

et al. 2023

View full text Add to dashboard Cite

Globally, renewable energy-based power generation is experiencing exponential growth due to concerns over the environmental impacts of traditional power generation methods. Microgrids (MGs) are commonly employed to integrate renewable sources due to their distributed nature, with batteries often used to compensate for power fluctuations caused by the intermittency of renewable energy sources. However, sudden fluctuations in the power supply can negatively impact battery performance, making it challenging to select an appropriate battery energy storage system (BESS) at the design stage of an MG. The cycle count of a battery in relation to battery stress is a useful measure for determining the general health of a battery and can aid in BESS selection. An accurate digital replica of an MG is required to determine the required cycle count and stress levels of a BESS. The Digital Twin (DT) concept can be used to replicate the dynamics of the MG in a virtual environment, allowing for the estimation of required cycle numbers and applied stress levels to a BESS. This paper presents a Microgrid Digital Twin (MGDT) model that can estimate the required cycle count and stress levels of a BESS without considering any unique battery type. Based on the results, designers can select an appropriate BESS for the MG, and the MGDT can also be used to roughly estimate the health of the currently operating BESS, allowing for cost-effective predictive maintenance scheduling for MGs.

show abstract

“…The most difficult task is to establish correlations between fluctuations in power demand and specific production processes in microgrids. This is required in order to determine the necessary amount of generation at each moment of time and methods to maintain the balance of power [109,110]. Therefore, optimal microgrid sizing is based on the results of the analysis of statistical data, the possibilities of reducing the capacity fee, ESS power and energy intensity, as well as the power flow control capabilities of the ACS.…”

Section: Microgrid Sizingmentioning

confidence: 99%

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

et al. 2023

View full text Add to dashboard Cite

The process of building microgrids on top of existing passive distribution networks warrants a multi-criteria analysis. Besides the calculation of the investment outlays needed for the modernization of distribution networks, such an analysis covers an assessment of the technological and economic effects of building microgrids. The resulting effects depend on the topology and configuration of distribution networks, specific microgrid features, the choice of the current type for the entire microgrid or its individual parts, the methods of connecting distributed energy resources (DERs), the availability and maturity of information and communications technology (ICT) infrastructure, and other factors. Comprehensive input data allow for designing an optimal microgrid configuration, but the main technological and economic effects are determined by the algorithms of operation and the parameter settings of the automatic control system (ACS) and the protection system. The known approaches to designing microgrids focus on addressing basic tasks while minimizing the investment required for their implementation. The above is fully justified when constructing new microgrids, but building microgrids on top of existing distribution networks, given the uniqueness of their topology and configuration, does not allow the use of standardized solutions. The development of approaches to the design of microgrids under such constraints, with minimized investment in the modernization of existing distribution networks, is an urgent task. The use of different types of current for individual microgrid segments determines the choice of the particular ACS and protection system, which depends on the availability of information and communications technology infrastructure. This article contributes a review of approaches to designing AC and AC–DC microgrids so as to maximize their technological and economic effects. We review techniques for analyzing the existing distribution networks aimed at choosing the type of current for the entire microgrid or its individual parts, the optimal points for the connection of microgrids to distribution networks, and the mix and capacity of DERs, with such choices informed by the conditions of the switching devices and information and communications technology infrastructure. This article presents the results of the analysis of approaches to choosing the optimal configuration of microgrids, microgrid ACS, and protection system, with an evaluation of the technological and economic effects subject to the minimization of investment in the modernization of the existing distribution networks.

show abstract

Review of Battery Energy Storage Systems Modeling in Microgrids with Renewables Considering Battery Degradation

Cited by 27 publications

References 111 publications

A Model-Aware Comprehensive Tool for Battery Energy Storage System Sizing

A Model-Aware Comprehensive Tool for Battery Energy Storage System Sizing

Battery Energy Storage Capacity Estimation for Microgrids Using Digital Twin Concept

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

Contact Info

Product

Resources

About