Load Shedding in Power Systems Based on a Fuzzy Logic Decision and Sensibility of Stability Prediction and Fast Voltage Indices
Current and traditional methods of load shedding are based on threshold values of frequency and voltage; thus, when the power system falls below these values, some mechanical control actions are activated as countermeasure against stability problems. Nevertheless, in many cases the traditional mitigation methods based on load shedding cannot ensure that the network remains in continuous operation after the presence of suddenly and severe perturbations. In addition, the development of control systems of wide area based on PMU’s measurements has allowed the development of different kinds of indices for the stability prediction. Thus, on-line diagnosis of the power system about angular stability and voltage stability gives better information about the system’s situational awareness. This paper proposes a methodology that allows the system operator to take a decision if applying the load shedding as a countermeasure for system instabilities caused by severe contingencies. In addition, the methodology identifies which are the nodes where the load shedding must be applied and the quantity of load shedding to be applied. The proposed load shedding methodology is based on a fuzzy logic decision method using the stability prediction index (SPI) and fast voltage stability index (FVSI). These indices can be computed on-line and they give the stability status of several operating areas. The methodology is tested on the NYPP-NETS of 68 nodes and it is illustrated with a cascade.
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P. Kundur, Power System Stability and Control, (McGraw- Hill, 1994).
Chaudhary, R., Singh, A., Stabilizing Controller Design for Transient Stability Improvement of Power Systems, (2014) International Review of Automatic Control (IREACO), 7 (6), pp. 534-541.
Jaleel, J., Thanvy, N., Comparative Study between Conventional Controllers and Optimization of Lead-Lag Controller for Power System Stabilizer Using PSO, (2013) International Review of Automatic Control (IREACO), 6 (4), pp. 419-424.
Singhal, P., Agarwal, S., Kumar, N., Dube, A., Transient Stability Enhancement of a Power System Using Unified Power Flow Controller, (2013) International Review on Modelling and Simulations (IREMOS), 6 (5), pp. 1558-1569.
Boudiaf, M., Moudjahed, M., Rahli, M., Improvement of Transient Stability and Damping Power by Means of IPFC and STATCOM - A Comparative Study, (2013) International Review of Automatic Control (IREACO), 6 (4), pp. 410-418.
Gholami, F., Ahmadi, M., Power System Voltage Stability Estimation Using Neural Networks and Phasor Measurement Units, (2013) International Review on Modelling and Simulations (IREMOS), 6 (1), pp. 127-135.
Cai, G., Yang, D., Jiang, Y., Synchrophasor Associated Adaptive Control Strategy for Under Frequency Protection and Load Shedding in Smart Grid, (2013) International Review of Electrical Engineering (IREE), 8 (1), pp. 227-235.
F. Hashiesh, H. E. Mostafa, K. Abdel-Rahman, I. Helal, An Intelligent Wide Area Synchrophasor Based System for Predicting and Mitigating Transient Instabilities, IEEE Transactions on Smart Grids, vol. 3, n. 2, Jun. 2012, pp. 645-652.
P. Li, Y. Wang, Y. Yuan, B. Zhang, Study on a novel load shedding strategy for voltage stability control, 2013 IEEE Power & Energy Society General Meeting, 21-25 July 2013, Vancouver, Canada.
O. Gomez, M.A. Rios, Inter-Area Stability Prediction Index based on phasorial measurement, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), 16-20 Jan. 2012, Washington, DC. USA.
I. Musirin, T.K.Abdul-Rahman, Novel Fast Voltage Stability Index (FVSI) for Voltage Stability Analysis in Power Transmission System, 2002 Student Conference on Research and Development SCOReD2002, 16-17 Jul. 2002, Malaysia.
A. Ramasamy, I. Musirin, A Study on FVSI Index as an Indicator for Under load shedding, Proceedings of ICEE 2009 3rd International Conference of Energy and Environment, 7-8 Dec. 2009, Malacca.
Uman Putra, D., Penangsang, O., Soeprijanto, A., Miyauchi, H., Unbalanced Radial Distribution Systems Voltage Stability Index Using Extreme Learning Machine, (2016) International Review of Electrical Engineering (IREE), 11 (4), pp. 428-434.
Uman Putra, D., Penangsang, O., Soeprijanto, A., Miyauchi, H., Positive Sequence Based Catastrophe Theory Voltage Stability Index to Analyzed the Voltage Stability Index in the Unbalanced Radial Distribution Systems, (2016) International Review of Automatic Control (IREACO), 9 (2), pp. 128-134.
I. Musirin, T. K. Abdul-Rahman, On-line voltage stability based contingency ranking using fast voltage stability index (FVSI), IEEE/PES Transmission and Distribution Conference and Exhibition 2002: Asia Pacific, 6-10 Oct. 2002, Yokohama, Japan.
Shashank, T., Rajesh, N., Analysis of Fast Voltage Stability Index on Long Transmission Line Using Power World Simulator, (2013) International Review on Modelling and Simulations (IREMOS), 6 (3), pp. 888-892.
Samani, E., Seifi, H., Sheikh-El-Eslami, M., Economic Evaluation of Small Signal Stability as an Ancillary Service in a Competitive Electricity Market, (2013) International Journal of Management - Theory and Applications (IREMAN), 1 (2), pp. 149-154.
J. Machowskim, J. W. Bialek, J. R. Bumby, Power System Dynamics: Stability and Control, (John Wiley & Sons, Ltd., 2008).
O. Gomez, M.A. Rios, Real time identification of coherent groups for controlled islanding based on graph theory, IET Generation, Transmission & Distribution, vol. 9, n. 8, 2015, pp. 748-758.
N. Asgharbeygi, A. Maleki, Geodesic K-means Clustering, International Conference on Pattern Recognition, ICPR 2008, Dec. 8-11, 2008, Tampa, Florida, USA.
D. Devaraj, J. P. Roselyn, Genetic Algorithm Based Reactive Power Dispatch for Voltage Stability Improvement, International Journal of Electrical Power and Energy Systems, Vol. 32, 2010, pp. 1151 – 1156.
O. Gómez, M. A. Rios, “Real time identification of coherent groups for controlled islanding based on graph theory”, IET Generation, Transmission and Distribution, vol. 9, n. 8, 2015, pp. 748-758.
Jagadeeshkumar, M., Chinnamuthu, S., Dash, S., Sensitive Area Clustering Based on Voltage Stability and Contingency Analyses with Impact of Line Stability Indices, (2013) International Review on Modelling and Simulations (IREMOS), 6 (5), pp. 1586-1592.
K.Y. Lee, M. A. El-Sharkawi, Modern Heuristic Optimization Techniques: Theory and Applications to Power Systems, (Wiley-IEEE Press, 2008).
Oyekanmi, W., Radman, G., Babalola, A., Ajewole, T., Effects of Power System Models on Angle Stability Margin in Transient Stability Analysis, (2016) International Journal on Energy Conversion (IRECON), 4 (3), pp. 50-56.
A. R. Bergen, V. Vittal, Power Systems Analysis (Prentice Hall, Inc. 1999).
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