POWER SYSTEM TRANSIENT STABILITY ASSESSMENT BASED ON SINGLE MACHINE-INFINITE BUS EQUIVALENT AND ARTIFICIAL NEURAL NETWORK

  • Trần Kỳ Phúc
  • Vũ Toàn Thắng
  • Lê Thị Thanh Hà

Abstract

Transient stability of power system is the ability  to maintain synchronization after a large disturbance. Objective of transient stability assessment is to determine the power system is stable or unstable after a large disturbance. Assessing transient stability of power system in realtime operating mode is critical in term of computational time requirement. The paper introduced stability assessment methods: time domain simulation method and direct method and their advantages and disadvantages.

The paper proposes an hybrid approach combining single machine - infinite bus (SMIB) equivalent and artificial neural network (ANN) for  power system transient stability assessment. The combination reduces real-time computational time because of quick assessment of ANN and also increases performance of contingency classification due to data computed from off-line

SMIB equivalent study. The method combines SMIB and ANN is applied on the specific power system consists of 3 generators and 9 buses for illustration purpose.  Assessment results show the feasibility of applying the proposed method for practical power systems with a large scale. This method allows reducing the amount calculated in real-time  operating mode and increasing the accuracy of the model. It also can be extended using different tools of artificial intelligence to improve transient stability assessment of power system in real-time operating conditions.

điểm /   đánh giá
Published
2014-10-23
Section
Articles