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Designing Structure-Dependent MPC-Based AGC Schemes Considering Network Topology

Author

Listed:
  • Young-Sik Jang

    (Seoul National University, Gwanak-ro 599, Gwanak-gu, Seoul 151-744, Korea)

  • JoonHyung Park

    (Seoul National University, Gwanak-ro 599, Gwanak-gu, Seoul 151-744, Korea)

  • Yong Tae Yoon

    (Seoul National University, Gwanak-ro 599, Gwanak-gu, Seoul 151-744, Korea)

Abstract

This paper presents the important features of structure-dependent model predictive control (MPC)-based approaches for automatic generation control (AGC) considering network topology. Since power systems have various generators under different topologies, it is necessary to reflect the characteristics of generators in power networks and the control system structures in order to improve the dynamic performance of AGC. Specifically, considering control system structures is very important because not only can the topological problems be reduced, but also a computing system for AGC in a bulk-power system can be realized. Based on these considerations, we propose new schemes in the proposed controller for minimizing inadvertent line flows and computational burden, which strengthen the advantages of MPC-based approach for AGC. Analysis and simulation results in the IEEE 39-bus model system show different dynamic behaviors among structure-dependent control schemes and possible improvements in computational burden via the proposed control scheme while system operators in each balancing area consider physical load reference ramp constraints among generators.

Suggested Citation

  • Young-Sik Jang & JoonHyung Park & Yong Tae Yoon, 2015. "Designing Structure-Dependent MPC-Based AGC Schemes Considering Network Topology," Energies, MDPI, vol. 8(5), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:5:p:3437-3454:d:48796
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    Citations

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    Cited by:

    1. Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim, 2017. "Analyzing the Impacts of System Parameters on MPC-Based Frequency Control for a Stand-Alone Microgrid," Energies, MDPI, vol. 10(4), pages 1-17, March.
    2. Liu, Yan & Mei, Jingling & Li, Wenxue, 2018. "Stochastic stabilization problem of complex networks without strong connectedness," Applied Mathematics and Computation, Elsevier, vol. 332(C), pages 304-315.

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