access icon free Combined heat and power dynamic economic dispatch with demand side management incorporating renewable energy sources and pumped hydro energy storage

This study suggests chaotic fast convergence evolutionary programming (CFCEP) rooted in Tent equation for solving intricate actual world combined heat and power dynamic economic dispatch (CHPDED) problem with demand side management (DSM) incorporating renewable energy sources and pumped-storage-hydraulic unit. The valve point effect and proscribed workable area of thermal generators and solar and wind power uncertainty have been pondered. DSM programmes decrease cost and boost up power system security. To investigate the upshot of DSM, the CHPDED problem is solved with and without DSM. In the recommended CFCEP technique, chaotic sequences have been pertained for acquiring the dynamic scaling factor setting in fast convergence evolutionary programming (FCEP). Introduction of chaotic sequences helps FCEP to avoid premature convergence. The efficiency of the recommended technique is revealed in a test system. Simulation outcomes of the recommended technique have been evaluated with those attained by FCEP and differential evolution. It has been examined from the assessment that the recommended CFCEP has the capability to bestow with a better-quality solution.

Inspec keywords: renewable energy sources; pumped-storage power stations; evolutionary computation; demand side management; power system security; power generation dispatch; power generation economics; cogeneration

Other keywords: power system security; demand side management; combined heat and power dynamic economic dispatch problem; solar wind power uncertainty; FCEP; proscribed workable area; chaotic sequences; renewable energy sources; power dynamic economic dispatch; valve point effect; pumped-storage-hydraulic unit; recommended CFCEP technique; CHPDED problem; DSM programmes; pumped hydro energy storage; dynamic scaling factor; Tent equation; chaotic fast convergence evolutionary programming

Subjects: Power system management, operation and economics; Optimisation techniques; Pumped storage stations and plants

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