Optimal sizing of hybrid renewable PV/Wind battery system using LPSP methods

Kartite, Jihane; Cherkaoui, Mohamed

doi:10.1109/icosc.2017.7958737

Cited by 15 publications

(7 citation statements)

References 6 publications

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“…is the amount of the nonsupplied power of MG in the demand level h during period t. P Load t,h is the amount of consumed load power in the demand level h during period t. In this article, it is assumed that the maximum percentage of LPSP is about 2% of total consumed load at time t for load level h. 30 3 | UNCERTAINTY…”

Section: Loss Of Power Supply Probability Constraintmentioning

confidence: 99%

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Optimal probabilistic operation management of smart parking lot and renewable sources in microgrid to reduce cost and improve system reliability considering demand response program

Ghadi-Sahebi

Ebrahimi

Darabad

2021

Int Trans Electr Energ Syst

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In this article, a new probabilistic operation management model for a microgrid (MG) with renewable sources such as solar and wind and also smart parking lots (PLs) is proposed. The model is based on demand response programing (DRP) with considering renewable sources and PLs uncertainties. An innovative scenario-based weighted objective function is proposed for the MG energy management system. The objective function is a combination of MG operation cost and the energy not supplied (ENS) fines for each scenario. Scenarios are weighted according to the probability of their occurrence in the objective function, so that more probable scenarios have a greater impact on the final cost. The generic Monte Carlo simulation (MCS) is used for generating the scenarios. For the proposed energy management model, the reliability index called loss of power supply probability (LPSP) is considered as a constraint. Also, the modified version of lightning search algorithm (LSA) is used due to higher accuracy. The proposed method is tested on the IEEE 33-bus test system. The simulation results indicated the good performance of the proposed method.

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Section: Loss Of Power Supply Probability Constraintmentioning

confidence: 99%

“…

P_{t, h}^{Load}

is the amount of consumed load power in the demand level h during period t . In this article, it is assumed that the maximum percentage of LPSP is about 2% of total consumed load at time t for load level h 30 …”

Section: Problem Formulationsmentioning

confidence: 99%

Optimal probabilistic operation management of smart parking lot and renewable sources in microgrid to reduce cost and improve system reliability considering demand response program

Ghadi-Sahebi

Ebrahimi

Darabad

2021

Int Trans Electr Energ Syst

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“…The LPSP is 0 and 1 when the load is sufficiently supplied and insufficiently supplied respectively. The loss of power supply probability (15) is a quotient of the loss of power supply (LPS), expressed by equation (14) and the total energy demand [23].…”

Section: System Reliabilitymentioning

confidence: 99%

Optimal and Economic Evaluation of a Stand-alone Microgrid for Electricity and Water Supply for Namibia’s Rural Village

Wanjekeche¹,

Ananias²

2019

AJEE

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Stand-alone microgrid hold a primary solution for electricity and water supply in remote areas access to National grid is not possible. This paper presents a detailed optimal sizing and economic evaluations of a stand-alone microgrid for a remote village (Amarika) in Namibia. Several renewable energy sources such as wind turbines and photovoltaic arrays were considered with a battery backup storage system and a reverse osmosis desalination plant for water supply. Modelling of the microgrid was done based on the meteorological data, the daily water and energy demand of the village. Particle swarm optimization was employed for the system techno-economic optimization: to determine a suitable microgrid configuration that can be established at minimum cost. Sensitivity analysis of the system was performed to examine the effect of variation of LPSP on LCOE. The results demonstrate that the optimized microgrid configuration and the optimization algorithm are effective and can be adopted in supplying power and water to the village. The levelized cost of electricity proves the economic feasibility of the microgrid. The levelized cost of electricity falls within a 90% standard deviation (= 0.065) of the mean. This proved to be economically feasible with a 96.5% reliability of power supply.

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“…Many optimization techniques have been documented in literature to identify the optimal size of HGPS based on reliability and cost. Loss of power supply probability (LPSP) is commonly used as a reliability index in sizing of HGPS optimization because it can calculate how frequent a system is able to sustain a loss of power supply within a period of time [16], [17]. Authors in [17], [18], [19], and [20] utilized LPSP as the reliability index while seeking to minimize the annualized cost of the system.…”

Section: Introductionmentioning

confidence: 99%

“…Loss of power supply probability (LPSP) is commonly used as a reliability index in sizing of HGPS optimization because it can calculate how frequent a system is able to sustain a loss of power supply within a period of time [16], [17]. Authors in [17], [18], [19], and [20] utilized LPSP as the reliability index while seeking to minimize the annualized cost of the system. Optimization was done using genetic algorithm (GA) [21], [22] and fuzzy logic [23] to determine the optimal configuration for a stand-alone HGPS.…”

Section: Introductionmentioning

confidence: 99%

Smart Local Energy Systems: Optimal Planning of Stand-Alone Hybrid Green Power Systems for On-Line Charging of Electric Vehicles

Gharavi¹,

Kean

Flynn

2023

IEEE Access

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Multi-vector smart local energy systems are playing an increasingly importantly role in the fast-track decarbonisation of our global energy services. An emergent contributor to global decarbonisation is green hydrogen. Green hydrogen can remove or reduce the burden of electrification of heat and transport on energy networks and provide a sustainable energy resource. In this paper, we explore how to optimally design a standalone hybrid green power system (HGPS) to supply a specific load demand with on-line charging of Electric Vehicles (EV). The HGPS includes wind turbine (WT) units, photovoltaic (PV) arrays, electrolyser and fuel cell (FC). For reliability analysis, it is assumed that WT, PV, DC/AC converter, and EV charger can also be sources of potential failure. Our methodology utilises a particle swarm optimization, coupled with a range of energy scenarios as to fully evaluate the varying interdependences and importance of economic and reliability indices, for the standalone HGPS. Our analysis indicates that EV charging with peak loading can have significant impact on the HGPS, resulting in significant reductions in the reliability indices of the HGPS, therefore enhance the operation of HGPS and reduces the overall cost. Our analysis demonstrates the importance of understanding local demand within a multi-vector optimization framework, as to ensure viable and resilient energy services. INDEX TERMSSmart local energy system, green hydrogen, reliability, economics, optimization, electric vehicle charging. NOMENCLATURE ACRONYMS BES Battery Energy Storage. DGs Distributed Generation Sources. EENS Expectation Of Not Served Energy. ELF Equivalent Loss Factor. ESS Energy Storage System. EV Electric Vehicle. FC Fuel Cell.The associate editor coordinating the review of this manuscript and approving it for publication was Frederico Guimarães .

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Optimal sizing of hybrid renewable PV/Wind battery system using LPSP methods

Cited by 15 publications

References 6 publications

Optimal probabilistic operation management of smart parking lot and renewable sources in microgrid to reduce cost and improve system reliability considering demand response program

Optimal probabilistic operation management of smart parking lot and renewable sources in microgrid to reduce cost and improve system reliability considering demand response program

Optimal and Economic Evaluation of a Stand-alone Microgrid for Electricity and Water Supply for Namibia’s Rural Village

Smart Local Energy Systems: Optimal Planning of Stand-Alone Hybrid Green Power Systems for On-Line Charging of Electric Vehicles

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