Loss of power supply probability of stand-alone wind electric conversion systems: a closed form solution approach

Abouzahr, I.; Ramakumar, R.

doi:10.1109/60.105267

Cited by 86 publications

(37 citation statements)

References 8 publications

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“…LPSP is a probability technique introduced by AbouZahr and Ramakumar in 1990 the field of wind and photovoltaic generation systems [16,17]. The probability of energy loss (loss of power supply probability) is widely used in the design and optimization of autonomous systems (stand-alone) wind-photovoltaic [18,19,20].…”

Section: Description Of the Lpsp Methodsmentioning

confidence: 99%

Optimal Sizing and Control Strategy of renewable hybrid systems PV-Diesel Generator-Battery: application to the case of Djanet city of Algeria

Yahiaoui¹,

Benmansour²,

Tadjine³

2017

Adv. sci. technol. eng. syst. j.

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Section: Description Of the Lpsp Methodsmentioning

confidence: 99%

Optimal Sizing and Control Strategy of renewable hybrid systems PV-Diesel Generator-Battery: application to the case of Djanet city of Algeria

Yahiaoui¹,

Benmansour²,

Tadjine³

2017

Adv. sci. technol. eng. syst. j.

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“…(10) (11) (12) In contrary to PV systems, fuel cost must be considered in BM systems. In addition, both fixed and variable costs were considered for operating and maintenance costs in BG system.…”

Section: E Total Net Present Cost (Tnpc) Of Hybrid Systemmentioning

confidence: 99%

“…Meeting of load by generated energy refers to a reliable system. Loss of power supply probability (LPSP) is a reliability evaluation method and was proposed by [12]. Researchers are frequently using LPSP for reliability of hybrid systems [9], [11].…”

Section: Introductionmentioning

confidence: 99%

Optimization and Evaluation of Hybrid PV/WT/BM System in Different Initial Costs and LPSP Conditions

Tabak¹,

Özkaymak²,

Guneser³

et al. 2017

ijacsa

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Abstract-A modelling and optimization study was performed to manage energy demand of a faculty in Karabuk University campus area working with a hybrid energy production system by using genetic algorithm (GA). Hybrid system consists of photovoltaic (PV) panels, wind turbines (WT) and biomass (BM) energy production units. Here BM is considered as a back-up generator. Objective function was constituted for minimizing total net present cost (TNPC) in optimization. In order to obtain more accurate results, measurements were performed with a weather station and data were read from an electricity meter. The system was also checked for reliability by the loss of power supply probability (LPSP). Changes in TNPC and localized cost of energy (LCOE) were interpreted by changing LPSP and economic parameters such as PV investment cost, WT investment cost, BM investment cost, and interest rates. As a result, it was seen that a hybrid system consisted of PV and BM associated with an effective flow algorithm benefited from a GA meets the energy demand of the faculty.

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“…This led to a substantial growth in wind based power generation. Numerous researches focus on feasibility and optimum sizing of the wind based systems [7][8][9]. However, the major drawbacks for both wind and solar energy sources are their stochastic nature which raises concern about the reliability of power to the user.…”

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling of Battery in Micro-Grid with Renewable Energy Resources using TVAC-PSO

2018

IJRASET

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In the power system operation, coordination of battery require much attention. This is required to maintain the reliable operation of electrical energy network. The charging and discharging of battery is useful for micro-grid planner to decide when to charge and discharge. The integration of battery with micro-grid has considerable increase in profit of system. This work also present the operating cost of energy system only connected to main grid. This complex optimization is solved using random search techniques. It has found that optimization techniques implemented to this integrated system resulted in optimum solution. In this paper, time varying acceleration coefficients particle swarm optimization are used to find the optimum schedule of charging and discharging of battery with power purchased from grid. These swarm based techniques are tested on the test system and a obtained the system profit and cost using this methods. Time varying acceleration coefficients particle swarm optimization proved to be better among other variants.

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Loss of power supply probability of stand-alone wind electric conversion systems: a closed form solution approach

Cited by 86 publications

References 8 publications

Optimal Sizing and Control Strategy of renewable hybrid systems PV-Diesel Generator-Battery: application to the case of Djanet city of Algeria

Optimal Sizing and Control Strategy of renewable hybrid systems PV-Diesel Generator-Battery: application to the case of Djanet city of Algeria

Optimization and Evaluation of Hybrid PV/WT/BM System in Different Initial Costs and LPSP Conditions

Optimal Scheduling of Battery in Micro-Grid with Renewable Energy Resources using TVAC-PSO

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