Solving the Optimal Reactive Power Dispatch Using Marine Predators Algorithm Considering the Uncertainties in Load and Wind-Solar Generation Systems

Mohamed Ebeed, Ayman Alhejji, Salah Kamel and Francisco Jurado
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Mohamed Ebeed: Department of Electrical Engineering, Faculty of Engineering, Sohag University, Sohag 82524, Egypt
Ayman Alhejji: Department of Electrical and Electronics Engineering Technology, Yanbu Industrial College, Yanbu Industrial City 41912, Saudi Arabia
Salah Kamel: Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt
Francisco Jurado: Department of Electrical Engineering, University of Jaén, EPS Linares, 23700 Jaén, Spain

Energies, 2020, vol. 13, issue 17, 1-19

Abstract: The optimal reactive power dispatch (ORPD) problem is an important issue to assign the most efficient and secure operating point of the electrical system. The ORPD became a strenuous task, especially with the high penetration of renewable energy resources due to the intermittent and stochastic nature of wind speed and solar irradiance. In this paper, the ORPD is solved using a new natural inspired algorithm called the marine predators’ algorithm (MPA) considering the uncertainties of the load demand and the output powers of wind and solar generation systems. The scenario-based method is applied to handle the uncertainties of the system by generating deterministic scenarios from the probability density functions of the system parameters. The proposed algorithm is applied to solve the ORPD of the IEEE-30 bus system to minimize the power loss and the system voltage devotions. The result verifies that the proposed method is an efficient method for solving the ORPD compared with the state-of-the-art techniques.

Keywords: optimal reactive power dispatch; renewable energy; uncertainty (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 (18)

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