Prediction of overcurrent rRelay miscoordination time using artificial neural network

Abstract

Overcurrent relay plays an important role in the protection of power system. For protection, proper coordination of relays with an appropriate relay settings need to be done. Coordination can be done by selecting an optimal Time Multiplier Setting (TMS) and Plug Setting (PS) considering the fault current at the relay location. Continuous Time Intervals (CTI) must be maintained between primary relay and secondary relay to ensure correct sequential operation of the relays. However, miscoordination can occurs due to secondary relay trips faster than primary relay. This paper presents an approach for predicting overcurrent relay miscoordination time using Artificial Neural Network (ANN) algorithm in MATLAB software. The efficiency of the proposed approach have been tested successfully on 17 bus test system. The simulation results indicated that the ANN Levenber-Maequardt algorithm is capable to predict the miscoordination time occurs between the primary and secondary relay operating time.

Coordination of directional overcurrent and distance relays based on nonlinear multivariable optimization

“…Time multiplier setting (TSM) is bounded between two value lower and upper bound to each relay, as well as pickup current setting (Ips) to each one depends on lower minimum fault current and max load current. According to the bounded value for TMS in equation (6) will be obtain the operating time in equation 1and (2).in this study according to IEC standard, normal inverse characteristic curve have been used with the following equation [4]:…”

“…There are three sets of coordination problems between DR and DOCR should be determined. These parameter sets are starting current setting (Iset), time setting multiple (TSM set) in DOCR and timer of the second zone (TZ2 set) of DR [4,5].…”

Comparison study of fault location on distribution network using PSCAD and DIgSILENT power factory by using matching approaches

“…Several simulation programs such as DIgSILENT and PSCAD are simulation programs that are widely used in research. Previous research [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] had used PSCAD software and [21][22][23][24][25][26] DIgSILENT Power Factory is used to record data handling, to build modelling capabilities and minimizing project execution costs and training. So, DIgSILENT is one of the simulation program which helpful for power flow analysis, wind power, industrial grids and distributed generation in terms of application of new technologies.…”

“…PSCAD can conduct studies about how to measure the voltage magnitude and angle in a power system due to a lightning strike. PSCAD also one of the simulation program which able to record the real time data or signal in in nanoseconds [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20].…”

Artificial neural network based technique for energy management prediction

“…ANN method also able to modeling energy consumption for random day and the next hours by using Boolean metering system [20][21]. The application of ANN has some advantages such as the following: the mapping function in neural network is very flexible and neural network have the ability of generalizing form a limit set of data points and giving a good result at new data points [22][23].…”