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Rapporto RSE 17000163

Tools for PQ state evaluation and voltage quality disturbances automatic identification.Analysis of PQ disturbances on Users

Rapporto

2016

Richiedi il materiale (4.55 MB, .pdf)

L. Tenti (RSE SpA), F. Malegori (RSE SpA), H. Shadmehr (RSE SpA), M. Volta (RSE SpA), E. Bionda (RSE SpA), F. Zanon (RSE SpA)

SMART-DSYS 2016 - Development and management of distribution networks

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The report deals with the activities carried out for the exploitation of QuEEN data and experience patrimony as a useful tool to support innovative research activities and to assess local PQ levels for MV network users.

In particular, it describes the activities carried out to make Power Quality data and other kind of data available in an Open Data context, to allow other people to use them for their own data processing. These activities have resulted in the integration of some Power Quality microservices, already developed in a “stand alone” version, in a demonstrator tool, based on a microservices architecture, to allow the check of some network parameters to enabled users. The microservices access different data sources (relational DB, text file, web, etc.) in a transparent way to the user. They provide the: i) voltage dips automatic classification on the base of their HV/MV origin, ii) PQ and meteorological data correlation by a Big Data approach, iii) PQ indices evaluation in relation to other topological/cartographic information in the CIM ontology context. The integration has required some microservices changes as the direct decoding from QuEEN of the event waveforms, used to feed the classifier, without having to prearrange for them proper archives.

As to the activities regarding the national monitoring system of all the HV/MV substations MV busbars, activated by the DSOs on the base of QuEEN’ experience, the report describes the testing on a complete annual statistic of data monitored, of the system MonNaLiSA. It’s the application developed by RSE, for the reporting of monitored data and for the annual evaluation of the number of severe event “due” to MV network: these events, potentially able to affect the equipment connected to the network, are going to be subjected to some regulation.

Interventions on the MV distribution network, aimed at reducing the numerousness of severe events, as, for instance, the overhead lines replacement with cables, have been analyzed on the base of QuEEN long-term events statistics. It is necessary to point out that the probability of occurrence of severe voltage dips, probably due to cables faults, is higher than that associated to overhead lines faults, against a lower numerousness of total events monitored.

In the end, as a contribution to the characterization of the power of supply provided to the user and to the identification of individual standard for MV users, for severe voltage dips and transient interruptions, we have assessed the numerousness of such disturbances at an industrial user. The user has plants in 5 Italian regions two of them supplied by MV/LV substations monitored by the QuEEN system: similar plants, located in areas characterized by the same number of inhabitants, i.e. belonging to the same “Ambito”, can be actually affected by a very different quality of supply.