Determination of optimal size and depth of discharge for battery energy storage in standalone microgrids

Alsaidan, Ibrahim; Khodaei, Amin; Gao, Wenzhong

doi:10.1109/naps.2016.7747845

Cited by 17 publications

(12 citation statements)

References 21 publications

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“…Nevertheless, the reviewed papers may include all or some of the microgrid total cost components depicted in Figure 1. The works in [4][5][6][7][8][9][10] implement mixed integer linear programming (MILP) to formulate the DES sizing problem. In [4], the renewable generation is not considered and the DES is sized for a microgrid containing only dispatchable DGs which reduces the potential economic benefits of the DES and ignores one of the most important aspects of microgrids.…”

Section: Cost-based Des Sizing Methodsmentioning

confidence: 99%

“…The work in [8] determines the optimal DES technology and size for an isolated microgrid. The DES degradation is considered in [9] and a model that finds the optimal depth of discharge along with the DES size is proposed. The work in [10] includes the installation year into the expansion problem and determines the optimal size and installation year for DES in an isolated microgrid that minimizes the total microgrid cost.…”

Section: Cost-based Des Sizing Methodsmentioning

confidence: 99%

“…If the DES installation is economically feasible, the model will determine the DES optimal size, technology, location, and charging/discharging schedules. The model can be combined with any of the reviewed MIP-based methods in Section 2, i.e., [4][5][6][7][8][9][10], to improve the accuracy of the obtained results.…”

Section: Proposed Des Sizing Methodsmentioning

confidence: 99%

“…By this, it is ensured that the DES does not charge and discharge at the same time. The operation state binary variable u can be used to determine when the DES completes a charging/discharging cycle as in Equation (9). That is, the cycle indicator ξ ebt will be one every time a charging/discharging cycle is completed and 0 otherwise.…”

Section: Proposed Des Sizing Mathematical Formulationmentioning

confidence: 99%

“…It can be seen from Table 1 that most of the previous works focus on either grid-connected or islanded microgrid operation but not both. Moreover, none of the previous works in DES sizing in microgrids, except the works in [6,9,11] in which a simple DES degradation model is proposed, consider the impact of the depth of discharge on the DES lifecycle and planning decisions. Besides this work, the various DES technologies' characteristics are considered only in [8,24] while the optimal location is considered in [12,31].…”

Section: The Proposed Des Sizing Model Vs Existing Modelsmentioning

confidence: 99%

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State-Of-The-Art in Microgrid-Integrated Distributed Energy Storage Sizing

et al. 2017

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Distributed energy storage (DES) plays an important role in microgrid operation and control, as it can potentially improve local reliability and resilience, reduce operation cost, and mitigate challenges caused by high penetration renewable generation. However, to ensure an acceptable economic and technical performance, DES must be optimally sized and placed. This paper reviews the existing DES sizing methods for microgrid applications and presents a generic sizing method that enables microgrid planners to efficiently determine the optimal DES size, technology, and location. The proposed method takes into consideration the impact of DES operation on its lifetime to enhance the obtained results accuracy and practicality. The presented model can be used for both grid-tied (considering both grid-connected and islanded modes) and isolated microgrids.

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Section: Cost-based Des Sizing Methodsmentioning

confidence: 99%

Section: Cost-based Des Sizing Methodsmentioning

confidence: 99%

Section: Proposed Des Sizing Methodsmentioning

confidence: 99%

Section: Proposed Des Sizing Mathematical Formulationmentioning

confidence: 99%

Section: The Proposed Des Sizing Model Vs Existing Modelsmentioning

confidence: 99%

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State-Of-The-Art in Microgrid-Integrated Distributed Energy Storage Sizing

et al. 2017

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An investigation of optimum PV and wind energy system capacities for alternate short and long‐term energy storage sizing methodologies

2018

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Summary The goal of this study is to find the optimal sizes of renewable energy systems (RES) based on photovoltaic (PV) and/or wind systems for three energy storage system (ESS) scenarios in a micro‐grid; (1) with pumped hydro storage (PHS) as a long‐term ESS, (2) with batteries as a short‐term ESS, and (3) without ESS. The PV and wind sizes are optimally determined to accomplish the maximum annual RES fraction (FRES) with electricity cost lower than or equal to the utility tariff. Furthermore, the effect of the use of battery and PHS on the electricity cost and FRES are studied. A university campus on a Mediterranean island is selected as a case study. The results show that PV‐wind hybrid system of 8 MW wind and 4.2 MW PV with 89.5 MWh PHS has the highest FRES of 88.0%, and the highest demand supply fraction as 42.6%. Moreover, the results indicate that the economic and technical parameters of RESs are affected significantly by the use of ESSs depending on the type and the capacity of both the RES and the ESS.

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Economic and Environmental Policy Analysis for Emission-Neutral Multi-Carrier Microgrid Deployment

Azimian

Javadi

2020

Applied Energy

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Determination of optimal size and depth of discharge for battery energy storage in standalone microgrids

Cited by 17 publications

References 21 publications

State-Of-The-Art in Microgrid-Integrated Distributed Energy Storage Sizing

State-Of-The-Art in Microgrid-Integrated Distributed Energy Storage Sizing

An investigation of optimum PV and wind energy system capacities for alternate short and long‐term energy storage sizing methodologies

Economic and Environmental Policy Analysis for Emission-Neutral Multi-Carrier Microgrid Deployment

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