Optimal techno-economic unit sizing of hybrid PV/Wind/battery energy system for an islanded microgrid using the forever power method

Alalwani, Sami

doi:10.1109/sasg.2015.7449291

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…The TSC includes the initial (acquisition and installation) cost, operational cost, maintenance cost, replacement cost, etc. On the other hand, the COE depends on the TSC, as well as the fuel cost [39][40][41][42].…”

Section: Economic Considerationsmentioning

confidence: 99%

Sizing approaches for solar photovoltaic‐based microgrids: A comprehensive review

Mathew

Hossain

Saha

et al. 2021

IET Energy Syst Integration

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In the design procedure of a PV‐based microgrid, optimal sizing of its components plays a significant role, as it ensures optimum utilization of the available solar energy and associated storage devices. This in turn ensures efficient and economic operation of the microgrid. Various approaches have been reported in the literature in order to approach the sizing problem in PV‐based microgrids. However, the existing approaches are subjective to the requirements of the microgrid and there is no unique framework for approaching the microgrid sizing problem. In this study, a comprehensive review of the existing approaches used for sizing of PV‐based microgrids with a summary of the commonly adopted design considerations has been presented. Also, the optimization problem, including the usually considered designed objectives and constraints, for PV‐based microgrid sizing have been thoroughly reviewed in this study. Furthermore, the adopted approaches for solving the optimization problem associated with the sizing of a PV‐based microgrid system available in the literature have been reviewed comprehensively. With a view to present a generic framework for the optimal sizing of a PV‐based microgrid, this study further presents a framework based on the comprehensive review of the existing literature. The developed framework will be useful for both the practising engineers and academics to understand and apply the usual practices for optimal sizing of PV‐based microgrids.

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Section: Economic Considerationsmentioning

confidence: 99%

Sizing approaches for solar photovoltaic‐based microgrids: A comprehensive review

Mathew

Hossain

Saha

et al. 2021

IET Energy Syst Integration

View full text Add to dashboard Cite

show abstract

“…• Inform decisions to pursue projects on an economic basis, compared with utility rates. By using the LCOE of each type of source, we can calculate the cost LCOE[n PV , n WT , n B , n GE ] of each combination of sources (each chromosome) [44]. The objective of determining the LCOE of each combination is to find the cost among all combinations of sources in order to choose the economic solution.…”

Section: Ts Y=1 Costs Of (S I )mentioning

confidence: 99%

Source Resizing and Improved Power Distribution for High Available Island Microgrid: <italic>A Case Study on a Tunisian Petroleum Platform</italic>

et al. 2019

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“…Following the sizing of components, the LCOE and LCOD are calculated in the presence of ESS to show that the optimal sizing gives the minimum cost. An optimal techno-economic unit sizing of stand-alone hybrid PV/Wind/BEShas also been discussed [11], and a methodology proposed to iteratively find the optimal size of a PV/wind/battery hybrid system based on the availability of the power supply and the lowest LCOE, which is divided into utilized LCOE for the energy used by the system, and not utilized LCOE for the surplus energy. The key principle of the above studies is to find the optimal size of RESs and BESs, which is also the main aim of our work.…”

Section: Introductionmentioning

confidence: 99%

Optimal cost-based model for sizing grid-connected PV and battery energy system

Khawaja

Giaouris

Patsios

et al. 2017

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)

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Photovoltaic-battery energy systems (PV-BESs) have recently emerged as a promising alternative energy solution for electricity consumers. Due to the high level of unpredictability and intermittency associated with solar energy, the optimal sizing and intermittency mitigation of PV-BESs is necessary while integrating them into the grid. This paper presents a technical and economical model for the optimal sizing of a grid-connected PV-BES system for different battery technologies. An iterative analytical approach is utilized to determine the battery capacity, generate multiple combinations of PV-BES over a defined range of PV rated power, and apply a proper energy management strategy to control the energy flow through the system. This is followed by an economic model to calculate the system levelized cost of energy (LCOE) for all possible PV-BES sizes. The optimal PV size and best BES coupled with the PV system is chosen depending on the minimum LCOE. In this context, an improved formula of LCOE is proposed which includes new parameters reflecting the impact of surplus PV output and the energy purchased from the grid. Additionally, the proposed model uses the levelized cost of delivery (LCOD) for BES and compares it with system LCOE. Data over one year of hourly solar irradiation, temperature and load demand are used for system sizing. The results show that the minimum system LCOE is observed when the PV rated power is 710 KW, and the most suitable BES in conjunction with the PV system is redox flow battery with 1 MWh capacity. A cost reduction of 18% obtained compared to the grid electricity price. Moreover, the proposed model allows 75% of self-consumed energy by the PV-BES compared to 48% when using the PV system alone.

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Optimal techno-economic unit sizing of hybrid PV/Wind/battery energy system for an islanded microgrid using the forever power method

Cited by 6 publications

References 12 publications

Sizing approaches for solar photovoltaic‐based microgrids: A comprehensive review

Sizing approaches for solar photovoltaic‐based microgrids: A comprehensive review

Source Resizing and Improved Power Distribution for High Available Island Microgrid: <italic>A Case Study on a Tunisian Petroleum Platform</italic>

Optimal cost-based model for sizing grid-connected PV and battery energy system

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