Techno-Economic and Sizing Analysis of Battery Energy Storage System for Behind-the-Meter Application

Tsai, Chih-Ta; Ocampo, Erica; Beza, Teketay Mulu; Kuo, Cheng‐Chien

doi:10.1109/access.2020.3036660

Cited by 28 publications

(4 citation statements)

References 24 publications

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“…Notably, when renewable energy entities do not engage in leasing energy storage, leasing payments are non-existent, and their equivalent varies. However, the leasing payments are consistently below the levelized cost of electricity (LCOE) associated with large-scale lithium-ion battery energy storage stations [30].…”

Section: Economic Analysis Of Operationmentioning

confidence: 99%

Optimal Operation with Dynamic Partitioning Strategy for Centralized Shared Energy Storage Station with Integration of Large-scale Renewable Energy

Li,

Fang,

Wang

et al. 2024

Journal of Modern Power Systems and Clean Energy

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As renewable energy continues to be integrated into the grid, energy storage has become a vital technique supporting power system development. To effectively promote the efficiency and economics of energy storage, centralized shared energy storage (SES) station with multiple energy storage batteries is developed to enable energy trading among a group of entities. In this paper, we propose the optimal operation with dynamic partitioning strategy for the centralized SES station, considering the day-ahead demands of large-scale renewable energy power plants. We implement a multi-entity cooperative optimization operation model based on Nash bargaining theory. This model is decomposed into two subproblems: the operation profit maximization problem with energy trading and the leasing payment bargaining problem. The distributed alternating direction multiplier method (ADMM) is employed to address the subproblems separately. Simulations reveal that the optimal operation with a dynamic partitioning strategy improves the tracking of planned output of renewable energy entities, enhances the actual utilization rate of energy storage, and increases the profits of each participating entity. The results confirm the practicality and effectiveness of the strategy.

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Section: Economic Analysis Of Operationmentioning

confidence: 99%

Optimal Operation with Dynamic Partitioning Strategy for Centralized Shared Energy Storage Station with Integration of Large-scale Renewable Energy

Li,

Fang,

Wang

et al. 2024

Journal of Modern Power Systems and Clean Energy

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“…BESSs are becoming a ubiquitous part of modern and future power systems. Their use spans over a wide variety of applications, from utility to residential applications [21]- [22].…”

Section: B Application-specific Yearly Mission Profilesmentioning

confidence: 99%

Reliability analysis of battery energy storage system for various stationary applications

Bakeer

Chub

Shen

et al. 2022

Journal of Energy Storage

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“…In this context, a cost-benefit analysis of PV and BESS planning for an industrial site, with the objective of maximizing the solar resource, is illustrated in [32]. A study to size the BESS of a particular customer using the generic load profile for industrial customers located in northern Taiwan is performed in [33]. This is also in [34], where the impact of different regulations on the optimal sizing of a solar hybrid system is studied, comparing systems under net metering and zero export schemes located in an industrial township in Delhi.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Different Scenarios to Include PV Rooftop Systems with Battery Energy Storage Systems in Olive Mills

Sánchez-Jiménez,

Muñoz-Rodríguez,

Jiménez-Castillo

et al. 2023

Energies

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The industrial sector is not the one with the highest energy consumption but, together with, it represents the most, together with the transport sector, the most polluting ones. Photovoltaic Rooftop systems and battery energy storage systems are very strong candidates to include renewable energy, allowing greater grid autonomy and greenhouse gas mitigation. Therefore, this paper aims to outline it will be provided a methodology based on monitored data to analyze the potential of photovoltaic Rooftops with battery energy storage systems regarding self-consumption and self-sufficiency indices in the industrial sector. Direct self-consumption and self-sufficiency indices, either with or without storage, will be analyzed. In addition, the iso self-consumption and iso self-sufficiency curves are used, which allow us to evaluate the matching between the generation and consumption profiles considering either direct self-consumption or the use of batteries. In this sense, a large, medium, and small olive mill were selected in order to cover the entire spectrum of these industries. Olive mills are suitable candidates for the incorporation of photovoltaic systems since generation profiles match the consumption profiles. However, the size of these systems is highly dependent on the period of consumption to be faced. Regarding batteries, both during the harvest and off-harvest periods, the impact on self-sufficiency becomes significant, reaching increases of up to 10%, depending on the battery capacity used.

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Techno-Economic and Sizing Analysis of Battery Energy Storage System for Behind-the-Meter Application

Cited by 28 publications

References 24 publications

Optimal Operation with Dynamic Partitioning Strategy for Centralized Shared Energy Storage Station with Integration of Large-scale Renewable Energy

Optimal Operation with Dynamic Partitioning Strategy for Centralized Shared Energy Storage Station with Integration of Large-scale Renewable Energy

Reliability analysis of battery energy storage system for various stationary applications

Analysis of Different Scenarios to Include PV Rooftop Systems with Battery Energy Storage Systems in Olive Mills

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