assessment of voltage stability of a multi-bus power system
Ø In this paper, for assessment of voltage stability of a multi-bus power system, an alternative methodology is proposed to evaluate the same two bus pi-network model where series and shunt parameters of transmission lines are lumped separately within the sort of series and shunt equivalent.
Ø The equivalent network parameters such as GVSM, VCR, global receiving end voltage, etc., are geared up to experience any change in the system accurately and efficiently as compared to two bus series equivalent methodology.
Ø An innovative approach named GVSM is employed to assess the voltage instability or in different words to determine the proximity of the current system state from voltage falls apart.
This paper provides a GVSM based voltage stability assessment using ANN for IEEE 14 and IEEE 30 test bus systems.
Some significant highlights of this work are given below.
- To decide the health of the power system, GVSM is calculated in the manner of stability for the given power system network. Prediction of GVSM and VCR are validated via different neural network topologies.
- The proposed method’s main gain is that it suggests a good understanding between target data (N-R) and RBFN output. Prediction accuracy of RBFN is best as compared with other topologies of ANN i.e., the results with RBFN are much better and accurate. The prediction error indices validate this fact.
- Fast computation of the Global voltage stability margin, GVSM, is also provided by this approach. By the usage of this supervised learning, an approaching operator can examine any unknown load pattern. We designed an efficient neural network and found out the GVSM, Vcr, and global receiving end voltage in the offline N-R method and ANN method by varying real and reactive loads.
The future scope of this paper is in the application of the proposed approach in the wind dominated system or microgrid, where the system observes uncertainty in generation lays in.