A decision support tool for transient stability preventive control

Abstract

The paper presents a decision support tool for transient stability preventive control contributing to increased situation awareness of control room operators by providing additional information about the state of the power system in terms of transient stability. A timedomain approach is used to assess the transient stability for potentially critical faults. Potential critical fault locations are identified by a critical bus screening through analysis of pre-disturbance steady-state conditions. The identified buses are subject to a fast critical contingency screening determining the actual critical contingencies/buses. These two screenings aim at reducing the computational burden of the assessment, since only contingencies considered as critical are taken into account. The critical clearing times for the critical contingencies are determined. A preventive re-dispatch of generators to ensure a predefined minimum critical clearing time for faults at all buses is proposed, while costs are minimized. The results of the assessment are presented to the control room operator, who decides to accept the suggested dispatch or to repeat the assessment considering additional user-specific constraints. The effectiveness of the proposed method is demonstrated on a standard nine-bus and the New England test system.

A simultaneous phase sequence exchange control method based on transient energy function

“…For example, as shown in the red line of Figure 3, PSE makes the energy of the system lower than the critical energy, but does not return the state of the system to the real stable region. Therefore, for each PSE operation, it is necessary to recalculate the trajectory of the system and then calculate the corresponding CUEP for stability judgment, which can be a difficult task 34‐37 …”

“…Therefore, for each PSE operation, it is necessary to recalculate the trajectory of the system and then calculate the corresponding CUEP for stability judgment, which can be a difficult task. [34][35][36][37] This problem can be solved by using the closest UEP method. The technique utilizes the iso-energetic surface of UEP with minimum energy on stable boundary ∂A(X S ) to approximate the stable boundary {(δ, ω)| V(δ, ω) = U(δ 1 )}.…”

Network allocation of BESS with voltage support capability for improving the stability of power systems

“…The critical clearing times (CCT) are then calculated for three-phase short circuits by means of time-domain simulations. However, they can also be estimated by means of other methodologies such as Lyapunov-based energy methods or using machine learning algorithms [32][33][34]. Then, the short circuits with the shortest CCT are selected.…”

Fault Assessment and Mitigation of the 132kV Transmission Line in Nigeria using Improved Resonant Fault Current Limiting (RFCL) Protection Scheme

“…Similarly, fast gossip algorithms have been used to solve problems related to cascading failures in a power system [4] as well as Dynamic Line Rating (DLR) algorithms for over current protection in transmission lines [9]. A-two mitigation strategies were also proposed using the principle of optimal power flow (OPF) for real-time cyber-physical power systems to analyze the impact of failures in power system [10] such was adapted in a preventive re-dispatch of generators to ensure a predefined minimum critical time for faults at all buses of the IEEE 118-bus test system [11].…”