A short-term voltage stability online prediction method based on graph convolutional networks and long short-term memory networks

An Online Security Prediction and Control Framework for Modern Power Grids

“…Main Objective Approach Main Security Predictor (s) [16] Short-term voltage stability online prediction Online Voltage magnitude [14] Transient stability prediction Offline Rotor angle [19] Framework for transient stability prediction Offline Rotor angle [41] Prediction of the transient Stability Boundary Offline Voltage magnitude and rotor angle [42] Static security assessment Offline Voltage magnitude [43] Security assessment for multiple contingencies Offline Voltage magnitude [7] Power systems security assessment Offline Voltage magnitude [15] voltage stability prediction Online Voltage magnitude [44] Online static security Assessment Online Voltage magnitude and angle [45] Online transient stability prediction Online Voltage magnitude and rotor angle Security predictors in existing frameworks and techniques have largely been determined by changes in system load and generation. These determinants are effective for conventional grids with insignificant penetration of non-synchronous generators.…”

“…One of the recent strategies is the application of a suitable machine learning algorithm to the existing dataset containing the historical security information of the grid. These machine learning-based prediction techniques were implemented in [14][15][16][17]. These techniques have shown their effectiveness to predict the security of the grid in case of transient security [14], frequency deviation [17], and distance to insecurity [18], without considering the penetration of any type of distributed generation into the grid.…”

“…These techniques have shown their effectiveness to predict the security of the grid in case of transient security [14], frequency deviation [17], and distance to insecurity [18], without considering the penetration of any type of distributed generation into the grid. The techniques were based on only one system variable (voltage [14][15][16]18], frequency [17]). Considering the grid with high penetration of RES-DG, the proposed techniques may not be applicable under changing inertia and system loading.…”

An agent‐based fast concurrent prediction scheme for transient and short‐term voltage instability

“…Indicators in the literature for predicting or detecting transient stability status or STV stability status can be classified into the direct indicators and the indirect indicators. Rotor angle and frequency of synchronous generators are two direct indicators to determine the transient stability status [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28], also the slip of induction motors and voltage magnitudes are two direct indicators to evaluate STV stability status [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]. The voltage magnitudes are indirect indicators for predicting the transient instability and have shown successful performances, reported by [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28].…”

“…Rotor angle and frequency of synchronous generators are two direct indicators to determine the transient stability status [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28], also the slip of induction motors and voltage magnitudes are two direct indicators to evaluate STV stability status [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]. The voltage magnitudes are indirect indicators for predicting the transient instability and have shown successful performances, reported by [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28]. The frequency of synchronous generators may increase or decrease by transient instability or STV instability (i.e.…”