A Method of Voltage Stability Evaluation for Branch and Generator Outage Contingencies

Abstract

This paper proposes a fast computation method to evaluate the load power margins with respect to saddle node bifurcations under branch outage as well as generator outage contingencies. The voltage stability evaluation for generator outages is a new topic, while there exist various studies for the branch outage contingencies. The proposed method is based on the conventional linear sensitivity method. The linear estimations are improved by taking into account nonlinearities of the power flow equations and by using a fast line search technique. Compared with existing methods, the accuracy is considerably improved. The effectiveness of the proposed method is demonstrated through IEEE 14-, 30-, and 57-bus systems. The estimation errors in load power margins are not more than 5% for generator outage and 15% for all branch outage (route open outage) contingencies.Index Terms-Contingency, load power margin, saddle node bifurcation, voltage stability.

Study of Different Methods of Voltage Stability Analysis

“…The fast computation method is proposed to estimate the load power margin with respect to saddle node bifurcation point under the generator and branch contingencies for the evaluation of voltage stability in [22]. The method proposed is based on the linear sensitivity.…”

Application of Neural Networks to Secure Scenario Based OPF of Power Systems Considering Transient Stability Criterion

“…[3] presents an OPF in contingency conditions considering security constraints. In [4], the voltage stability is studied in post contingency state considering the generator and line outage. Besides, a new method of marginal calculation for determining voltage stability is proposed in [4].…”

“…In [4], the voltage stability is studied in post contingency state considering the generator and line outage. Besides, a new method of marginal calculation for determining voltage stability is proposed in [4]. In [5] load redistribution is used for voltage stability in contingency condition, so that the point which suffers from severe voltage fall can access more reactive power.…”

Artificial immune system based machine learning for voltage stability prediction in power system

“…Problems related to voltage stability issues have attracted greater concern among the power system engineers since power systems nowadays have evolved through continuing growth in interconnection and operating in highly stressed condition [4]. Therefore voltage stability evaluation becomes part of the power system operation routine and has been treated by a wide spectrum of computational approaches with major goal of determining the voltage stability condition of the system and its margin from instability condition [5].…”