Optimal Scheduling of Hydro–Thermal–Wind–Photovoltaic Generation Using Lightning Attachment Procedure Optimizer

Maha Mohamed, Abdel-Raheem Youssef, Salah Kamel, Mohamed Ebeed and Ehab E. Elattar
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Maha Mohamed: Department of Electrical Engineering, Faculty of Engineering, South Valley University, Qena 83523, Egypt
Abdel-Raheem Youssef: Department of Electrical Engineering, Faculty of Engineering, South Valley University, Qena 83523, Egypt
Salah Kamel: Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt
Mohamed Ebeed: Department of Electrical Engineering, Faculty of Engineering, Sohag University, Sohag 82524, Egypt
Ehab E. Elattar: Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

Sustainability, 2021, vol. 13, issue 16, 1-24

Abstract: This paper presents an effective solution for the short-term hydrothermal generation scheduling (STHS) problem using an integration of wind and photovoltaic power (PV) system. Wind and PV power are integrated into the power system to minimize the total fuel cost of thermal units. In this paper, the lightning attachment procedure optimization algorithm (LAPO) is employed to solve the STHS problem using the wind and PV power integration system. The proposed method is applied for solving five test systems with different characteristics, considering the valve-point loading impact of the thermal unit. The first and third test systems include hydro and thermal units only, and the rest of the systems consist of hydro and thermal units with integrating wind and PV power-generating units to inspect the effect of renewable energy sources in the selected test systems. The simulation results are compared with other studied methods. It is found that the proposed method is superior, and it has the ability to obtain the best solutions with respect to other optimization methods that are implemented to solve the STHS problem.

Keywords: hydrothermal generation scheduling; wind and photovoltaic power; optimization; LAPO algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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