Design of adaptive load shedding by artificial neural networks

Abstract

The design of an adaptive load-shedding strategy by executing an artificial neural network (ANN) and transient stability analysis for an electric utility system is presented. To prepare the training data set for an ANN, the transient stability analysis of an actual power system has been performed to solve for minimum load shedding with various operation scenarios without causing the tripping problem of generators. The Levenberg-Marquardt algorithm has been adopted and incorporated into the back-propagation learning algorithm for training feedforward neural networks. By selecting the total power generation, total load demand and frequency decay rate as the input neurons of the ANN, the minimum amount of load shedding is determined to maintain the stability of power systems. To demonstrate the effectiveness of the proposed ANN minimum load-shedding scheme, a utility power system has been selected for computer simulation and the amount of load shedding is verified by stability analysis.

Real-time prediction of event-driven load shedding for frequency stability enhancement of power systems

“…It is also worth mentioning that in [5], the authors propose a strategy that applies the artificial neural network (ANN) to determine load shedding, which is similar to the idea of this paper in terms of relying on an automatic learning technique for load shedding. However, the approach reported in [5] is designed for a response-driven LS, whereas our method is for an event-driven LS.…”

Sensitivity based Load Shedding Strategy for Avoiding Voltage Instability

“…It is based on the VSI suggested in [8] for assessing the operating condition of the DN and identifying the most appropriate nodes for load shedding. The VSI, which varies between unity at no load and zero at VC point, for feeder/node-m of Fig.…”

“…If the network still remains nearer to voltage instability region even after initiating the measures such as network reconfiguration, switching capacitor banks and running distribution generation (DG) units, the load curtailment at some weak buses is the only avenue for avoiding voltage collapse. Though extensive research is in vogue for load shedding of transmission networks, [8]- [14] , relatively a little work is reported for load shedding of DNs to avoid voltage collapse [15]- [17] .…”

Load Shedding Control Strategy Based on Transient Instability Evaluation of Power System Using Artificial Neural Network and Analytic Hierarchy Process Algorithm

“…Fisher Standard: This is a simple method that is applied to select the specific variables [7,8]. Fisher standard is selected variables such as equation (1), the variable has a F larger value is more important. )…”