{"id":1009238,"date":"2025-08-16T09:56:13","date_gmt":"2025-08-16T12:56:13","guid":{"rendered":"https:\/\/novosite.psr-inc.com\/projeto-pdi\/methodology-for-determining-the-distribution-system-usage-amount-musd-procurement-strategy\/"},"modified":"2026-02-05T16:29:15","modified_gmt":"2026-02-05T19:29:15","slug":"methodology-for-determining-the-distribution-system-usage-amount-musd-procurement-strategy","status":"publish","type":"projeto-pdi","link":"https:\/\/www.psr-inc.com\/en\/consultoria\/pesquisa-desenvolvimento\/projetos-pdi\/methodology-for-determining-the-distribution-system-usage-amount-musd-procurement-strategy\/","title":{"rendered":"Methodology for determining the Distribution System Usage Amount (MUSD) procurement strategy"},"content":{"rendered":"
Methodology and computational tool for determining the optimal MUSD (Maximum Contracted Demand) to be contracted at the connection points between the distribution network and the Supplying Companies, based on simulations that capture uncertainties related to distributed generation, demand, and equipment availability.<\/p>\n

The technique employed is based on:<\/p>\n

Stochastic approach: creation of temporally and spatially coherent scenarios for the internal generation and load of the distribution system and the rest of the NIS (National Interconnected System).<\/p>\n

Sampling: both time series and non-parametric sampling techniques are used for sampling generation and load scenarios.<\/p>\n

Integration: the internal system of the distributor and its relations with the NIS are integrated to create load and generation scenarios.<\/p>\n

Simulation horizon: the multi-year simulation horizon (4 years) is discretized into 15-minute time intervals, and power flow simulations are performed for each temporal discretization.<\/p>\n

Analysis: firstly, all cases corresponding to 15-minute temporal discretizations are probed by linearized power flow without losses, and then simulations are run for the most severe cases at the connection points, with loss representation.<\/p>\n

Integrated contracting: the MUSD\/MUST (Maximum Contracted Demand\/Maximum Contracted Energy) is contracted under a risk criterion using a classic mathematical programming approach.<\/p><\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Methodology and computational tool for determining the optimal MUSD (Maximum Contracted Demand) to be contracted at the connection points between the distribution network and the Supplying Companies, based on simulations that capture uncertainties related to distributed generation, demand, and equipment availability. 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