Short term scheduling of hydrothermal power systems with photovoltaic and pumped storage plants using quasi-oppositional turbulent water flow optimization

• Published in: Renewable energy 2022-05, Vol.191, p.459-492
• Main Authors: Sakthivel, V.P., Thirumal, K., Sathya, P.D.
• Format: Article
• Language: English
• Subjects: Hydrothermal scheduling; Multi-fuel source; Pumped storage system; Solar power plant; Turbulent water flow optimization
• ISSN: 0960-1481
• DOI: 10.1016/j.renene.2022.04.050

Owing to the environmental concerns and fossil fuel shortage, power generation from renewable energy source is becoming an alternative source and lead to hybrid power generations in the modern power system. The hybrid power systems are operated for efficient exploitation of clean and renewable energy. Consequently, optimal economic generation planning of hydrothermal plants with renewable energy sources constitutes the main thoughts of this research work. The novelty of this paper is to propose a new quasi-oppositional turbulent water flow optimization for the solution of hydrothermal generation scheduling problem with the integration of pumped storage and solar power systems, and to develop a hybrid power system model by taking into account the spillage effects of hydro plants, and the valve point loading effects, transmission losses and multi-fuel sources of thermal power plants. The effectiveness of the developed model is examined on a small, medium and realistic large-scale hybrid power systems and compared with the performance of other erstwhile approaches. Conclusively, the simulation studies show that: (1) the developed model affirms the maximum utilization of clean energy production, (2) the quasi-oppositional learning strategy unified with turbulent water flow optimization approach offers superior optimal solutions and computational efficiency in contrast with other whilom metaheuristic algorithms, and (3) precisely, the pollutant emissions can be reduced by 11.62 and 12.90% when thermal power generation is backed down by pumped storage power generation, and combined pumped storage and solar power generation respectively for the realistic large-scale hybrid power system. Critics of this study is that the proposed approach can offer better optimal solutions than other erstwhile approaches with regard to the solution quality and computational efficiency.