Size optimization of new hybrid stand-alone renewable energy system considering a reliability index

Bashir, M.; Sadeh, Javad

doi:10.1109/eeeic.2012.6221521

Cited by 40 publications

(27 citation statements)

References 9 publications

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“…Basir and Sadeh [54] have taken a combination of wind, photovoltaic and tidal energy with battery source and used PSO to determine the capacity of hybrid system. The Equivalent Loss Factor (ELF) has been used as an index to evaluate the system reliability level.…”

Section: Particle Swarm Optimization (Pso)mentioning

confidence: 99%

Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems

Sinha

Chandel

2015

Renewable and Sustainable Energy Reviews

432

151

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Section: Particle Swarm Optimization (Pso)mentioning

confidence: 99%

Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems

Sinha

Chandel

2015

Renewable and Sustainable Energy Reviews

432

151

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“…The ENERCON E-70 wind turbine is used. Some of its parameters are described in Table 1 [ [29][30][31][32]. The height of the wind turbine tower is a very important factor significantly influencing the operating performance of the turbine.…”

Section: Wind Turbine Modelmentioning

confidence: 99%

Optimal Design and Energy Management of a Hybrid Power Generation System Based on Wind/Tidal/PV Sources: Case Study for the Ouessant French Island

Mohammed¹,

Benbouzid²,

Feld³

2017

Smart Energy Grid Design for Island Countries

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Hybrid power generation systems have become a focal point to meet requirements of electric power demand. This kind of system combines several technologies and is considered as one of the appropriate options for supplying electricity in remote areas, such islands, where the electric utility is not available. It is one of the promising approaches due to its high flexibility, high reliability, higher efficiency, and lower costs for the same produced energy by traditional resources. Typically, hybrid power generation systems combine two or more conventional and renewable power sources. They will also incorporate a storage system. This chapter will focus on a typical hybrid power generation system using available renewables near the Ouessant French Island: wind energy, marine energy (tidal current), and PV. This hybrid system is intended to satisfy the island load demand. It will therefore explore optimal economical design and optimal power management of such kind of hybrid systems using different approaches: (1) Cascaded computation (linear programming approach); (2) Genetic algorithms-based approach; (3) Particle swarm optimization. In terms of economical optimization, different constraints (objective functions) will be explored for a given 25 years of lifetime; such as

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“…The model takes into account the power output constraints, battery charge and discharge constraints and reliability constraints, aiming at lowest annual equivalent investment cost. In literature [5,6], an optimized design scheme for independent wind-PV-ES hybrid system is put forward to minimize the average annual operating cost during two decades considering the hybrid system reliability constraints. In literature [7], both the equipment investment cost and system reliability are taken account of, a multi-objective optimal capacity configuration model for wind-PV-ES hybrid system is presented.…”

Section: Introductionmentioning

confidence: 99%

An optimal capacity configuration method of wind/PV and energy storage co-generation system

Jia

2014

2014 IEEE PES General Meeting | Conference &Amp; Exposition

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Taking full advantages of the complementary characteristics of the wind power, the solar power and the energy storage devices, the wind, PV and energy storage (wind-PV-ES) co-generation system with reasonable capacity configuration can get stable power output, thus improving the power quality and significantly reducing the impact of power volatility on the grid. In the paper, based on historical data of wind and solar resources, the sum of the peak-vale slopes, power output fluctuation rates and active power deviation rates are chosen as evaluation indexes for the large-scale wind-PV-ES generation system. The probability distribution of the evaluation indexes and the probability change rate of the indexes in the range of fluctuation thresholds during the study period are analyzed by a statistical method. On this basis, an optimal capacity configuration method, which aims to smooth the output by maximizing the probability that the requirements for power change rate of co-generation system are satisfied, is put forward. Finally, the proposed method is verified by an example.

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Size optimization of new hybrid stand-alone renewable energy system considering a reliability index

Cited by 40 publications

References 9 publications

Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems

Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems

Optimal Design and Energy Management of a Hybrid Power Generation System Based on Wind/Tidal/PV Sources: Case Study for the Ouessant French Island

An optimal capacity configuration method of wind/PV and energy storage co-generation system

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