ISE - Relatórios técnicos
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Browsing ISE - Relatórios técnicos by Subject "Electrical networks"
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- Development of DLR analysis and power system models: Deliverable D3.1Publication . Algarvio, Hugo; Duque, Joaquim; Couto, AntónioABSTRACT: This deliverable presents the work developed by LNEG as part of the R&D activities of the project OPTIGRID - Methodology for the dynamic line rating analysis and optimal management of power networks. According to the plan activities of Tasks 3.1 and 3.2, the main objective of this deliverable is to integrate the mathematical model for the Dynamic Line Rating (DLR) analysis in the optimal power flow model for a generic AC power system, previously developed in LNEG. The main limiting factor for the transmission capacity of overhead lines (OHLs) is usually defined by a thermal constraint. For OHLs several effects are present, some with a positive contribution while others can lead to the potential congestion of the electrical networks. The seasonal line rating (SLR) methodology, traditionally used by the system operators to ensure that the grid does not operate over the maximum pre defined conductor temperature, determines the line’s ampacity from constant weather conditions using: 1) seasonal basis information or 2) conservative weather conditions. These conditions usually underestimate the real transmission capacity of OHLs. Thus DLR analysis allows assessing more realistic current limits for the power lines could present a method to deal with potentially congested electrical networks enabling the optimal integration of distributed renewable power generation.
- Meteorological forecast data: Coupling NWP and CFD Modeling. Merging the datasets: Deliverable D2.2Publication . Couto, AntónioABSTRACT: The work presented in this deliverable was developed by LNEG and R&D NESTER as part of the R&D activities of the project OPTIGRID - Methodology for the dynamic line rating analysis and optimal management of power networks. According to the plan activities of Tasks 2.1 and 2.4, the main objective of this deliverable is to present the methods applied to obtain the meteorological forecast data need to feed the models developed in this project and it merges all the datasets to be used in each case study. According to the work plan, and as reported in the deliverables from Task 4, three case studies were defined for: A) a region with large distributed wind capacity; B) a region with large photovoltaic (PV) potential and limited grid capacity; and C) market splitting occurrence in MIBEL due to congestion in the interconnections. For these regions the meteorological forecast data, used during this project, were obtained using a numerical weather prediction model and computational fluid dynamic model coupling approach. The numerical weather prediction (NWP) model is used to forecast the hourly spatial meteorological data (e.g., wind speed and direction, temperature) during 2018 with a maximum spatial resolution of 3 km. This model is calibrated regarding its physical parametrizations and initial/boundary conditions, among others.
- Validation of transmission network and MIBEL data: Deliverable D2.1Publication . Couto, António; Algarvio, HugoABSTRACT: The work presented in this deliverable was developed by LNEG and R&D NESTER as part of the R&D activities of the project OPTIGRID - Methodology for the dynamic line rating analysis and optimal management of power networks. According to the plan activities of Tasks 2.2 and 2.3, the main objective of this deliverable is to present the transmission network and the Iberian electricity market (MIBEL) data gathered and validated to use in each case study. According to the work plan, and as detailed reported in the deliverables from Task 4, three case studies were defined: 1) a region with large distributed wind capacity; 2) a region with large photovoltaic (PV) potential and limited grid capacity.; and 3) market splitting occurrence in MIBEL due to congestion in the interconnections - Figure 1. For these regions, during this project, the high voltage network topology and its electrical characteristics (e.g., cables, resistance, reactance, and susceptance) were collected. The power generation, the loads in the regions under analysis were also obtained. Finally, to address the third case study, the interchange capacity (import and export) available and the bids of the day-ahead and intra-day markets at those hours are also gathered and analysed.