{"id":1308,"date":"2026-08-10T07:48:33","date_gmt":"2026-08-10T07:48:33","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/psr-sddp-17-2-x64\/"},"modified":"2026-08-10T07:48:33","modified_gmt":"2026-08-10T07:48:33","slug":"psr-sddp-17-2-x64","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/psr-sddp-17-2-x64\/","title":{"rendered":"PSR SDDP 17.2 x64"},"content":{"rendered":"
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Descriptions<\/h2>\n

PSR SDDP, SDDP<\/span> is<\/span> a<\/span> stochastic<\/span> dispatch model for electrical systems representing the transmission, gas, and hydrogen networks used in long, medium, and short-term operation studies. It is highly flexible in terms of its temporal and spatial levels of detail. In the temporal dimension, it can represent very long decision horizons (several decades) with weekly or monthly stages and intra-stage resolution of load blocks or hours. Spatially, it can handle the detailed operation of small islands up to the study of regional markets integrating several national power systems. The<\/span> objective<\/span> of<\/span> SDDP is to minimize the sum of costs and maximize the revenue in the energy market. Costs include the purchase and transportation of fuels for thermal plants, pollutant emission costs, hydro and thermal plants\u2019 O&M costs, transmission wheeling rates, cost of energy not supplied, and other penalties. Revenues include trades in energy, water, and hydrogen markets. SDDP<\/span> produces<\/span> over<\/span> 450 reports in Excel-friendly formatted files. The results are managed by the graphical interface that extracts the desired statistics and creates charts directly in Excel. Furthermore<\/span>, aggregated results such as average marginal costs, total generation, and total costs are produced in CSV-format reports and can be visualized through a dashboard, shareable via an internet link<\/p>\n

Features of PSR SDDP :<\/h3>\n