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

Abdullah Al-Shereiqi, Amer Al-Hinai, Mohammed Albadi and Rashid Al-Abri
Additional contact information
Abdullah Al-Shereiqi: Department of Electrical and Computer Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khodh, Muscat 123, Oman
Amer Al-Hinai: Department of Electrical and Computer Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khodh, Muscat 123, Oman
Mohammed Albadi: Department of Electrical and Computer Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khodh, Muscat 123, Oman
Rashid Al-Abri: Department of Electrical and Computer Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khodh, Muscat 123, Oman

Energies, 2021, vol. 14, issue 17, 1-16

Abstract: 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.

Keywords: optimal layout; wake effect; fluctuation; wind farm; ramping rate (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/17/5377/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/17/5377/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:17:p:5377-:d:624905

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().