Optimal generation scheduling of hydrothermal system with demand side management considering uncertainty and outage of renewable energy sources. (February 2020)

• Record Type: Journal Article
• Authors: Basu, M.
• Is Part Of: Renewable energy. Volume 146(2020)
• Page Start: 530
• Page End: 542
• Publication Date: 2020-02
• Subjects: Demand side management -- Cascaded reservoirs -- Pumped-storage-hydraulic unit -- Renewable energy sources -- Uncertainty -- Outage; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2019.06.069
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: Due to escalating permeation of renewable energy sources, it becomes essential to investigate its brunt on the optimal power generation scheduling. But, highly intermittent nature of renewable energy sources and their higher rate of outages may have detrimental effect on the entire grid. This work recommends chaotic fast convergence evolutionary programming (CFCEP) rooted in Tent equation to solve hydrothermal generation scheduling incorporating pumped-storage-hydraulic (PSH) unit with demand side management (DSM) considering uncertainty and outage of renewable energy sources. Chaotic sequences increase the exploitation ability in the searching space and enhance the convergence property. In the recommended technique, chaotic sequences have been pertained for acquiring the dynamic scaling factor setting in fast convergence evolutionary programming (FCEP). Simulation outcomes of the test system have been matched up to those acquired by FCEP, differential evolution (DE) and particle swarm optimization (PSO). It has been observed from the comparison that the recommended CFCEP technique has the capability to bestow with superior-quality solution. Highlights: CFCEP is used for solving hydro-thermal generation scheduling with DSM. Pumped-storage-hydraulic unit and renewable energy sources are considered. Uncertainty and outage of renewable energy sources are also taken into consideration. Simulation outcomes have been matched up to those acquired by FCEP, DE and PSO.