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

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

Energies, 2020, vol. 13, issue 11, 1-21

Abstract: A novel optimization strategy is proposed to achieve a reliable hybrid plant of wind, solar, and battery (HWSPS). This strategy’s purpose is to reduce the power losses in a wind farm and at the same time reduce the fluctuations in the output of HWSPS generation. In addition, the proposed strategy is different from previous studies in that it does not involve a load demand profile. The process of defining the HWSPS capacity is carried out in two main stages. In the first stage, an optimal wind farm is determined using the genetic algorithm subject to site dimensions and spacing between the turbines, taking Jensen’s wake effect model into consideration to eliminate the power losses due to the wind turbines’ layout. In the second stage, a numerical iterative algorithm is deployed to get the optimal combination of photovoltaic and energy storage system sizes in the search space based on the wind reference power generated by the moving average. The reliability indices and cost are the basis for obtaining the optimal combination of photovoltaic and energy storage system according to a contribution factor with 100 different configurations. A case study in Thumrait in the Sultanate of Oman is used to verify the usefulness of the proposed optimal sizing approach.

Keywords: turbines layout; wake effect; energy management; smoothing; sizing optimization; hybrid system (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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