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

Young-Sik Jang, JoonHyung Park and Yong Tae Yoon
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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

Energies, 2015, vol. 8, issue 5, 1-18

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.

Keywords: automatic generation control; line flow control; model predictive control; network topology (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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