Optimal generation scheduling of hydrothermal system with demand side management considering uncertainty and outage of renewable energy sources

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.