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Balancing Authority Area Model and its Application to the Design of Adaptive AGC Systems

Apostolopoulou, D. ORCID: 0000-0002-9012-9910, Sauer, P. W. and Dominguez-Garcia, A. D. (2016). Balancing Authority Area Model and its Application to the Design of Adaptive AGC Systems. IEEE Transactions on Power Systems, 31(5), pp. 3756-3764. doi: 10.1109/TPWRS.2015.2506181

Abstract

In this paper, we develop a reduced-order model for synchronous generator dynamics via selective modal analysis. Then, we use this reduced-order model to formulate a balancing authority (BA) area dynamic model. Next, we use the BA area model to design an adaptive automatic generation control (AGC) scheme, with self-tuning gain, that decreases the amount of regulation needed and potentially reduces the associated costs. In particular, we use the BA area model to derive a relationship between the actual frequency response characteristic (AFRC) of the BA area, the area control error, the system frequency, and the total generation. We make use of this relationship to estimate the AFRC online, and set the frequency bias factor equal to the online estimation. As a result, the AGC system is driven by the exact number of MW needed to restore the system frequency and the real power interchange to the desired values. We demonstrate the proposed ideas with a single machine infinite bus, the 9-bus 3-machine Western Electricity Coordinating Council (WECC), and a 140-bus 48-machine systems.

Publication Type: Article
Additional Information: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords: Robust Optimisation, Hybrid Hydro-Solar, Optimal Dispatch Scheme, Solar Forecast, Markov Chain
Departments: School of Mathematics, Computer Science & Engineering
School of Mathematics, Computer Science & Engineering > Engineering > Electrical & Electronic Engineering
URI: http://openaccess.city.ac.uk/id/eprint/19252
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