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

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.

Jellyfish search algorithm for optimization operation of hybrid pumped storage-wind-thermal-solar photovoltaic systems

“…In the past decades, combining HEPs and TPPs has been widely applied for short-term hydrothermal power systems [ 7 ]. Then, those such problems have been expanded by integrating RPPs into hydrothermal power systems such as short-term fixed head wind-hydro-thermal power systems [ 8 ], short-term variable head wind-hydro-thermal power systems [ 9 ], and solar-wind-hydrothermal power system [ 10 ]. The latter problems have the same feature as considering sufficient water in reservoirs for one day or one week, but this assumption is not valid for several dry seasons.…”

Application of chaos assisted sine cosine algorithm on wind–solar integrated hydrothermal scheduling problem

“…Mohamed et al 36 considered LAPO for minimizing cost and emission of HTS and renewable energy based scheduling problems. The authors of Reference 36 showed usefulness of RESs (i.e., wind and solar) in traditional HTS by minimizing generation cost and emission using LAPO technique.…”

“…Mohamed et al 36 considered LAPO for minimizing cost and emission of HTS and renewable energy based scheduling problems. The authors of Reference 36 showed usefulness of RESs (i.e., wind and solar) in traditional HTS by minimizing generation cost and emission using LAPO technique. Mohamed et al 37 introduced grey wolf optimizer and cuckoo search based hybrid algorithm and showed the performance of the hybrid algorithm by minimizing generation cost and emission of the traditional and solar–wind integrated HTS problems.…”