KOHONEN NEURAL NETWORK CLUSTERING FOR VOLTAGE CONTROL IN POWER SYSTEMS
Abstract: Clustering a power
system is very useful for the purpose of voltage stability control. However,
the methods have developed usually have computational inefficiency. This paper
presents a new cluster bus technique using Kohonen neural network for the
purpose of forming bus clusters in power systems from the voltage stability
viewpoint. This cluster formation will simplify voltage control in power
system. With this proposed Kohonen algorithm, a large bus system will be
partitioned into a small bus groups that have a coherence V, θ, P and Q. The
maximum number of area clusters will be formed need for voltage stability
needed. The proposed technique was tested on IEEE 39 bus system by considering
two contingency namely load increased and line outage by using voltage collapse
analysis. This formation will be compared with the Learning Vector Quantization
(LVQ) algorithm. The results showed the proposed technique produces four
clusters on contingency load load increased and three clusters online outage
contingency on IEEE 39 bus system as shown by the LVQ.
Penulis: Muhammad Nizam
Kode Jurnal: jptkomputerdd100034
