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To make good use of the transport capacity of cables and transformers in MS distribution networks, insight into the actual loading of the grid and voltage management is essential. This requires detailed measurement data which, unfortunately, is not widely available for distribution networks. The pseudomonitor offers solace.
Most of the grid manager's assets are in the extended middle and low-voltage networks. When dimensioning these networks, the grid manager often still assumes the maximum load, taking into account the growth of the individual users. As a result, the medium-voltage grids often have more transport capacity than necessary. Because these networks are, however, limited in size, there is insufficient insight to be able to make good use of the remaining capacity.
One of the possibilities to get more out of the networks against small investments is to use knowledge about the specific behavior of groups of customers. These are temporarily continuously measured for this purpose. Especially asset managers have carried out these measurements to gather knowledge about the typical behavior of users and user groups.
The pseudomonitor makes use of these measurement data. Determining the unequality of loads per unit of time creates a much better insight into the actual grid load and voltage management without having to measure at every point in the grid. For example, an analysis can provide the insight that a new customer sometimes even leads to better stress management. The consequences of decentralized generation, large-scale or small-scale in new-build projects (micro-combined heat and power units) can also be calculated. This makes the pseudomonitor an effective tool.
Focused on the medium-voltage grid, the focus is on combining measurements in a substation with load patterns of grid stations. The maximum flow measurements of grid stations serve as the basic distribution. The tax patterns are constructed from the composition of the customer groups per station and the load patterns of the individual customer groups, such as households, shops and offices. All in all, the pseudomonitor combines load measurements of the downstream directions in the substation, maximum flow measurements at the grid stations, load patterns of the grid stations, composition of the customer groups per network station and load patterns of the individual customer groups. This results in a reliable and detailed insight into the voltage management and grid load in medium-voltage networks.
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