In this paper a neural network-based methodology is proposed to develop load shedding schemes for industrial power systems. For a given post-disturbance scenario, an appropriate architecture of several neural networks suggests the nets necessary to provide the requested load-shedding action. It is assumed that, depending on the type of contingency and pre-disturbance network configuration, the post-disturbance scenario can involve the islanding of the entire power system or the decomposition into subsystems. Depending on the current generation-load mismatches of each subsystem, the exact amount of load to be shed is provided as output to a defined set of input signals. Since each net is trained using input-output patterns obtained from extended transient stability studies, the load shedding action is based on a `dynamic' criterium, overcoming the limit of a load shedding action computed on the basis of the `static' criterium of the anticipated overload. The effectiveness of the proposed procedure is tested on the power system of a petrochemical plant.

Intelligent load shedding schemes for industrial customers with cogeneration facilities / Maiorano, A; Sbrizzai, Roberto; Torelli, F; Trovato, Michele Antonio. - (1999), pp. 925-930. (Intervento presentato al convegno IEEE PES Winter Meeting 1999 tenutosi a New York, NY nel January 31- February 4, 1999) [10.1109/PESW.1999.747293].

Intelligent load shedding schemes for industrial customers with cogeneration facilities

SBRIZZAI, Roberto;TROVATO, Michele Antonio
1999-01-01

Abstract

In this paper a neural network-based methodology is proposed to develop load shedding schemes for industrial power systems. For a given post-disturbance scenario, an appropriate architecture of several neural networks suggests the nets necessary to provide the requested load-shedding action. It is assumed that, depending on the type of contingency and pre-disturbance network configuration, the post-disturbance scenario can involve the islanding of the entire power system or the decomposition into subsystems. Depending on the current generation-load mismatches of each subsystem, the exact amount of load to be shed is provided as output to a defined set of input signals. Since each net is trained using input-output patterns obtained from extended transient stability studies, the load shedding action is based on a `dynamic' criterium, overcoming the limit of a load shedding action computed on the basis of the `static' criterium of the anticipated overload. The effectiveness of the proposed procedure is tested on the power system of a petrochemical plant.
1999
IEEE PES Winter Meeting 1999
0-7803-4893-1
Intelligent load shedding schemes for industrial customers with cogeneration facilities / Maiorano, A; Sbrizzai, Roberto; Torelli, F; Trovato, Michele Antonio. - (1999), pp. 925-930. (Intervento presentato al convegno IEEE PES Winter Meeting 1999 tenutosi a New York, NY nel January 31- February 4, 1999) [10.1109/PESW.1999.747293].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/16920
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