Abstract
In the power system, the economic dispatch (ED) problem is the key issue, while fossil fuels cause environmental pollution. The allocation of power generation is included in the actual economic load dispatch issue of power generation for reducing the operating cost. This creates the economic load dispatch issue, a large-scale, highly nonlinear controlled optimization issue. The major issue in the power systems is the loss, fuel cost, and emission. The existing algorithms can optimize the parameters mentioned above, but it is not much better. Hence, this paper presents the multi-objective multi-verse optimization (MOMVO) for the dynamic load dispatch problem. The dynamic load dispatch issue is evaluated by cost and emission evaluation with hybrid renewable energy Sources (RES). Here, the proposed algorithm generates the thermal, photovoltaic (PV) and wind power values, reducing the cost and emission values. The unit’s power generation is the foremost aim of dynamic economic load dispatch (DELD) to meet the load demand while sustaining various operational constrictions; the generation’s total cost is reduced. The MVO algorithm is applied to nonlinear DELD issues and is a reliable and robust optimization algorithm. The introduced scheme is implemented and tested over three test systems, such as 6, 10, and 11 generating units. The implementation is performed on the MATLAB R2016a platform, and the performance results are evaluated based on with and without valve-point loading (VPL). Finally, VPL produced better solutions than the without VPL case.
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Acharya, S., Ganesan, S., Kumar, D.V. et al. Optimization of cost and emission for dynamic load dispatch problem with hybrid renewable energy sources. Soft Comput 27, 14969–15001 (2023). https://doi.org/10.1007/s00500-023-08584-0
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DOI: https://doi.org/10.1007/s00500-023-08584-0