Fast Load Voltage Stability Index constrained PMU Placement for Complete Observability

  • Authors

    • P.Lakshmi Narayana
    • M. Venkatesan
    • S. Ravindra
    2018-11-27
    https://doi.org/10.14419/ijet.v7i4.24.21764

  • Abstract

    This paper proposes a Fast Load Voltage Stability Index (FLVSI) constrained Binary Integer Programming (BIP) method for Phasor Measurement Unit placement at optimal locations in network to obtain complete observability. Every load bus of network is considered to sort out weak load bus from proposed FLVSI approach. PMUs are constrained to place at weak load buses using BIP approach for observability of network. Zero Injection (ZI) modeling is suggested to reduce PMU placement locations in network. Single line outage or PMU loss constraints are formulated for placement of PMUs. Bus Redundancy Index (BRI) is formulated and considered for every bus of network. With and without ZI modeling under normal and line outage cases is compared to present effectiveness of approach. IEEE –14- 30-and 57- bus networks are tested with MATLAB Programming and compared with other methods to show its effectiveness.

  • References

    1. [1] Abur, Ali, and Antonio Gomez Exposito. Power system state estimation: theory and implementation. CRC press, 2004.

      [2] Phadke, Arun G., and John Samuel Thorp. Synchronized phasor measurements and their applications, Vol. 1. New York, NY: Springer, 2008.

      [3] Mou, Xiaoming, Weixing Li, and Zhimin Li. “Pmu placement for voltage stability assessment and monitoring of power systemsâ€, Power Electronics and Motion Control Conference (IPEMC), 2012 7th International. Vol. 2. IEEE, 2012.

      [4] An, Tianyu, and Suquan Zhou. “Practical PMU configuration based on weak voltage area monitoring and incomplete observabilityâ€, Power Engineering Society General Meeting, 2006. IEEE. IEEE, 2006.

      [5] Esmaili, Masoud, and Mohammad Ghamsari-Yazdel. “Voltage Stability-Constrained Optimal Simultaneous Placement of PMUs and Channels Enhancing Measurement Reliability and Redundancyâ€, IEEE Power and Energy Technology Systems Journal 4.2 (2017): 32-39.

      [6] Kumar, Hiral, and Vishal Kumar. “Real time power system voltage stability monitoring using synchrophasor devicesâ€, Power Electronics, Intelligent Control and Energy Systems (ICPEICES), IEEE International Conference on. IEEE, 2016.

      [7] Makasa, K. Joseph, and Ganesh K. Venayagamoorthy. “On-line voltage stability load index estimation based on PMU measurementsâ€, Power and Energy Society General Meeting, 2011 IEEE. IEEE, 2011.

      [8] Amroune, Mohammed, Aref Bourzami, and Tarek Bouktir. “Weakest Buses Identification and Ranking in Large Power Transmission Network by Optimal Location of Reactive Power Supportsâ€, Indonesian Journal of Electrical Engineering and Computer Science 12.10 (2014): 7123-7130.

      [9] Goh, Hui Hwang, et al. “Evaluation for voltage stability indices in power system using artificial neural networkâ€, Procedia engineering 118 (2015): 1127-1136.

      [10] Ghosh, Pronob K., Soumesh Chatterjee, and Biman Kr Saha Roy. “Optimal PMU placement solution: graph theory and MCDM-based approachâ€, IET Generation, Transmission & Distribution 11.13 (2017): 3371-3380.

      [11] Kumari, Saroj, et al. “Optimal phasor measuring unit placement by binary particle swarm optimizationâ€, Computing, Communication and Networking Technologies (ICCCNT), 2017 8th International Conference on. IEEE, 2017.

      [12] Raj, Akhil, and Chintham Venkaiah. “Optimal PMU placement by teaching-learning based optimization algorithmâ€,Systems Conference (NSC), 2015 39th National. IEEE, 2015.

      [13] Srivastava, Ankur, and Sydulu Maheswarapu. “Optimal PMU placement for complete power system observability using Binary Cat Swarm Optimizationâ€, Energy Economics and Environment (ICEEE), 2015 International Conference on. IEEE, 2015.

      [14] Yammani, Chandrasekhar, Narsi Reddy, and Sydulu Maheswarapu. “Optimal placement of PMU's considering sensitivity analysisâ€, Advancements in Power and Energy (TAP Energy), 2015 International Conference on. IEEE, 2015.

      [15] Li, Shaoqian, and Zhaoyong Meng. “Optimal PMU placement based on improved binary artificial bee colony algorithmâ€,Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2017 IEEE Conference and Exp. IEEE, 2017.

      [16] Dua, Devesh, et al.. “Optimal multistage scheduling of PMU placement: An ILP approachâ€, IEEE Transactions on Power Delivery 23.4 (2008): 1812-1820.

  • Downloads

  • How to Cite

    Narayana, P., Venkatesan, M., & Ravindra, S. (2018). Fast Load Voltage Stability Index constrained PMU Placement for Complete Observability. International Journal of Engineering & Technology, 7(4.24), 20-25. https://doi.org/10.14419/ijet.v7i4.24.21764

    Received date: 2018-11-26

    Accepted date: 2018-11-26

    Published date: 2018-11-27