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Energies 2015, 8(5), 3437-3454;

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

Seoul National University, Gwanak-ro 599, Gwanak-gu, Seoul 151-744, Korea
Author to whom correspondence should be addressed.
Academic Editor: Josep M. Guerrero
Received: 12 February 2015 / Revised: 25 March 2015 / Accepted: 21 April 2015 / Published: 27 April 2015
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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. View Full-Text
Keywords: automatic generation control; line flow control; model predictive control; network topology automatic generation control; line flow control; model predictive control; network topology

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MDPI and ACS Style

Jang, Y.-S.; Park, J.; Yoon, Y.T. Designing Structure-Dependent MPC-Based AGC Schemes Considering Network Topology. Energies 2015, 8, 3437-3454.

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