Scenario-Based Fuel Constrained Short-Term Hydrothermal Scheduling

Scenario-Based Fuel Constrained Short-Term Hydrothermal Scheduling

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For electric power companies, the economic utilization of existing fossil fuel is currently a primary issue because of the diminishing supply of fossil fuel.Thermal power plants have fuel limitations and contractual restrictions that Display Figure must be adhered to.As a result, the scenario-based fuel-constrained short-term hydrothermal scheduling problem with renewable energy sources is presented in this paper.The elephant clan optimization (ECO) approach is offered for short-term hydro-thermal scheduling (STHTS) with thermal generators, cascaded hydro, solar PV plants, wind turbine generators (WTG), and pumped storage hydro (PSH) with and without demand side management (DSM) for various scenarios.On a typical test system, the suggested approach is shown to be successful.

An analysis of the typical test system’s numerical results is compared to those Action Figure produced via the self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients (HPSO-TVAC) and grey wolf algorithms (GWO).The comparison shows that the suggested ECO is capable of providing a better solution.