Optimal Sizing of a Hybrid Wind-Photovoltaic-Battery Plant to Mitigate Output Fluctuations in a Grid-Connected System

Shereiqi, A. Al; Al-Hinai, Amer; Albadi, Mohammed; Abri, Rashid Al

doi:10.3390/en13113015

Cited by 15 publications

(12 citation statements)

References 41 publications

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“…Similar conclusions are presented in [18] for Colombia, where the most reliable system is with a 100% WT fraction, while the most economical system is with a 100% PV fraction. The opposite results are obtained in [19] for a grid-connected system in Oman, because the ratio of the rated powers PV:WT is 1:2.64. Some authors use TRNSYS for their studies for an office building in the Mediterranean area [20] and for a bitumen tank [21].…”

Section: Sizing Of Hybrid Systems For General Applicationmentioning

confidence: 78%

“…The authors of [13,22,23] consider only the influence of the cell temperature on the PV efficiency, while the influence of the solar radiation is neglected. In [18,19,26], the solar radiation influence is taken into account. Both influences are also considered with different models in [15,16].…”

Section: Sizing Of Hybrid Systems For General Applicationmentioning

confidence: 99%

“…The WT in [17] is vertical, and its model is specialized and uses the manufacturer's data. The linear interpolation of the manufacturers' data is used in [15,19,25]. The equation models are not appropriate for small WT, due to the power curve form, while the linear interpolation requires information for the power curve with small steps of the wind speed.…”

Section: Sizing Of Hybrid Systems For General Applicationmentioning

confidence: 99%

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Multivariate Analysis of a Wind–PV-Based Water Pumping Hybrid System for Irrigation Purposes

et al. 2021

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The Green Deal and increased nutritional needs are driving factors in human activities nowadays. Agriculture is an essential economic sector that can profit from the application of renewable energy sources by the assimilation of off-grid, arid and barren terrains. Power supplied by hybrid systems for water pumping is a solution for overcoming the stochastic character of the renewable energy sources. This paper presents a sizing methodology for a hybrid system with wind and PV generation and water tank storage, based on the consideration of the entire energy conversion chain with energy models and a one-year operation simulation. The PV generator is modeled using a reduced Durisch’s model, while for the wind generator a piecewise interpolation is used. The methodology is applied for sites in Bulgaria with specific agricultural crops and meteorological data. Combinations of PV (different technologies) and wind (different types) generators and water tank capacities are considered and discussed. The combinations are compared on the basis of three criteria: the investment cost, the satisfaction of crop requirements and system oversizing. The possibility for the introduction of battery storage is also examined. The results show some trends in the hybrid system sizing and the possibility to apply the proposed methodology for various sites, generators and crops.

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Section: Sizing Of Hybrid Systems For General Applicationmentioning

confidence: 78%

Section: Sizing Of Hybrid Systems For General Applicationmentioning

confidence: 99%

Section: Sizing Of Hybrid Systems For General Applicationmentioning

confidence: 99%

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Multivariate Analysis of a Wind–PV-Based Water Pumping Hybrid System for Irrigation Purposes

et al. 2021

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“…However, for it to efficiently deliver dispatchable renewable generation, it is necessary to adequately size the BESS both in terms of capacity and rate of charge and discharge. Sizing the resources is out of the scope of this paper; however, more details can be found in [9,35,36].…”

Section: Rolling Approachmentioning

confidence: 99%

Robust Operation of Hybrid Solar–Wind Power Plant with Battery Energy Storage System

Bakhtvar

Al-Hinai

2021

Energies

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The intraday continuous electricity market (ICM) is a potential target market for the Dispatchable Hybrid Renewable solar–wind–battery energy storage system (BESS) power plant (DHRB). However, the uncertainty of the electricity price jeopardizes economic justification of BESS operation, an essential component of DHRB. Using the duality theory, this paper proposes a unilevel mixed-integer linear programming rolling-approach-based robust optimal scheduling tool for DHRB that keeps BESS operation optimal should the worst price scenario occur. It reflects BESS’s degradation as penalty factors and also integrates a BESS degradation model in the scheduling tool for better assessment of the available resources through the BESS’s lifetime. This tool aids the DHRB operator to decide the power offer to the ICM in such a way that the BESS’s operation remains optimal. A case study is carried out to demonstrate the application of the proposed tool. Both the long-term and short-term losses/benefits of utilizing this tool for scheduling DHRB in the ICM are investigated at various uncertainty levels. It is shown that there will be a risk of loss of income for the DHRB in the short-term due to increased nondispatchable energy. However, by limiting the use of BESS to only those settlement periods that are either certainly profitable or unavoidable, the lifetime of BESS can potentially be extended. Hence, this can result in more income by the DHRB power plant in the long-term.

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“…The aforementioned factors in the memory could also cause over-smoothing, which ultimately increases the required BESS capacity [22]. The optimal sizing of the HWSPS while utilizing the MAV technique has already been investigated in our previous study [23]. To avoid the aforementioned factors used for the MAV technique, our research [23] investigates other smoothing techniques.…”

Section: Introductionmentioning

confidence: 99%

Optimal Sizing of Hybrid Wind-Solar Power Systems to Suppress Output Fluctuation

et al. 2021

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Harnessing wind energy is one of the fastest-growing areas in the energy industry. However, wind power still faces challenges, such as output intermittency due to its nature and output reduction as a result of the wake effect. Moreover, the current practice uses the available renewable energy resources as a fuel-saver simply to reduce fossil-fuel consumption. This is related mainly to the inherently variable and non-dispatchable nature of renewable energy resources, which poses a threat to power system reliability and requires utilities to maintain power-balancing reserves to match the supply from renewable energy resources with the real-time demand levels. Thus, further efforts are needed to mitigate the risk that comes with integrating renewable resources into the electricity grid. Hence, an integrated strategy is being created to determine the optimal size of the hybrid wind-solar photovoltaic power systems (HWSPS) using heuristic optimization with a numerical iterative algorithm such that the output fluctuation is minimized. The research focuses on sizing the HWSPS to reduce the impact of renewable energy resource intermittency and generate the maximum output power to the grid at a constant level periodically based on the availability of the renewable energy resources. The process of determining HWSPS capacity is divided into two major steps. A genetic algorithm is used in the initial stage to identify the optimum wind farm. A numerical iterative algorithm is used in the second stage to determine the optimal combination of photovoltaic plant and battery sizes in the search space, based on the reference wind power generated by the moving average, Savitzky–Golay, Gaussian and locally weighted linear regression techniques. The proposed approach has been tested on an existing wind power project site in the southern part of the Sultanate of Oman using a real weather data. The considered land area dimensions are 2 × 2 km. The integrated tool resulted in 39 MW of wind farm, 5.305 MW of PV system, and 0.5219 MWh of BESS. Accordingly, the estimated cost of energy based on the HWSPS is 0.0165 EUR/kWh.

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Optimal Sizing of a Hybrid Wind-Photovoltaic-Battery Plant to Mitigate Output Fluctuations in a Grid-Connected System

Cited by 15 publications

References 41 publications

Multivariate Analysis of a Wind–PV-Based Water Pumping Hybrid System for Irrigation Purposes

Multivariate Analysis of a Wind–PV-Based Water Pumping Hybrid System for Irrigation Purposes

Robust Operation of Hybrid Solar–Wind Power Plant with Battery Energy Storage System

Optimal Sizing of Hybrid Wind-Solar Power Systems to Suppress Output Fluctuation

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