A hybrid electric/hydro storage solution for standalone photovoltaic applications in remote areas

Zhao, Junhui; Graves, Kevin A.; Wang, Caisheng; Liao, Gene Y.; Yeh, Chih-Ping

doi:10.1109/pesgm.2012.6345187

Cited by 17 publications

(6 citation statements)

References 14 publications

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“…The kinetic energy of the wind is changed into mechanical energy via the rotor. The rotating knifes of the propeller rotate the shaft inside the nacelle connected to the generator, and wind energy is produced by transferring the shaft to the generator [26,58]. In the early days, fixed speed turbines were used in wind power plants.…”

Section: Wind Energy Systemmentioning

confidence: 99%

A Short Review on the Optimization Methods Using for Distributed Generation Planning

2023

ijSmartGrid

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Industrial and social developments increase the need for energy. Due to the fact that fossil fuels will run out to meet energy needs, alternative technologies have been sought. Interest in renewable energy sources has increased. However, since renewable energy sources vary according to geographical conditions, their continuity must be ensured. Therefore, the focus has been on distributed generation systems. The components of distributed generation systems are divided into renewable, non-renewable and storage systems. Technical difficulties may arise in the connection of distributed generation systems with renewable resources. Therefore, it is very important to optimize distributed generation so that the distributed grid provides the expected power. Optimization systems are emphasized so as to decrease efficiency, reduce costs and cut down power fluctuations in distributed generation systems. In this study, distributed generation system, renewable energy source and energy storage system are mentioned. Metaheuristic methods for the efficiency of an energy system are studied. Evolution based algorithms can only keep the search space information in the iteration found, while swarm based algorithms can store the search space information throughout the iteration. Most metaheuristic algorithms use the biological cycle process, swarm behaviour, and physical laws. Evolution based and swarm-based optimization methods are examined in metaheuristic methods. As evolution based metaheuristic methods, genetic algorithm and swarm based optimization methods particle swarm optimization, ant colony optimization, grey wolf optimization, bat algorithm, whale optimization algorithm, cuckoo search algorithm are discussed. A general comparison of the investigated optimization methods is presented. It was concluded that the swarm optimization methods examined were able to make fast convergence and avoid local minima and computational efficiency evaluations.

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Section: Wind Energy Systemmentioning

confidence: 99%

A Short Review on the Optimization Methods Using for Distributed Generation Planning

2023

ijSmartGrid

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“…This creates a new type of sustainable hybrid power plant which can work continuously, using solar energy as a primary energy source and water for energy storage. Junhui et al [112] proposed a standalone renewable power system to solve the energy and water shortage in remote areas with abundant solar energy. The system utilizes a photovoltaic panel as the main energy source and a battery pack as the energy storage device to smooth the fluctuation of solar power and to mitigate load transients and variations.…”

Section: Solar Photovoltaic Pumped Hydroelectric Energy Storage (Pv-pmentioning

confidence: 99%

Pumped hydro energy storage system: A technological review

Rehman

Al‐Hadhrami

Alam

2015

Renewable and Sustainable Energy Reviews

905

342

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“…The payback period of wind-PHS systems is estimated to be about 6-12 years [8]. Solar energy is less intermittent than wind; however, it is available only during the day, and thus, energy storage is needed to cover the surplus or deficit energy [9]. The idea of integrating different energy sources in one hybrid system (solar-wind-hydro) has become popular because the different systems can compensate for each other's irregularities [10].…”

Section: Introductionmentioning

confidence: 99%

Run-of-the-River Hydro-PV Battery Hybrid System as an Energy Supplier for Local Loads

2021

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Hybrid hydro energy systems are usually analysed with pumped hydro storage systems, which can facilitate energy accumulation from other sources. Despite the lack of water storage, run-of-the-river hydropower plants are also attractive for hybrid systems owing to their low investment cost, short construction time, and small environmental impact. In this study, a hybrid system that contains run-of-the-river small hydro power plants (SHPs), PV systems, and batteries to serve local loads is examined. Low-power and low-head schemes that use variable-speed operation are considered. The novelty of this study is the proposal of a dedicated steady-state model of the run-of-the-river hydropower plant that is suitable for energy production analysis under different hydrological conditions. The presented calculations based on a real SHP of 150 kW capacity have shown that a simplified method can result in a 43% overestimation of the produced energy. Moreover, a one-year analysis of a hybrid system operation using real river flow data showed that the flow averaging period has a significant influence on the energy balance results. The system energy deficiency and surplus can be underestimated by approximately 25% by increasing the averaging time from day to month.

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A hybrid electric/hydro storage solution for standalone photovoltaic applications in remote areas

Cited by 17 publications

References 14 publications

A Short Review on the Optimization Methods Using for Distributed Generation Planning

A Short Review on the Optimization Methods Using for Distributed Generation Planning

Pumped hydro energy storage system: A technological review

Run-of-the-River Hydro-PV Battery Hybrid System as an Energy Supplier for Local Loads

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