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Optimal Secondary Frequency Regulation With ON-OFF Loads in Power Networks

Authors: Andreas Kasis; Stelios Timotheou; Marios Polycarpou;

Optimal Secondary Frequency Regulation With ON-OFF Loads in Power Networks

Abstract

Load side participation can provide support to the power network by appropriately adapting the demand when required. In addition, it enables an economically improved power allocation. In this study, we consider the problem of providing an optimal power allocation among generation and on-off loads within the secondary frequency control timeframe. In particular, we consider a mixed integer optimization problem which ensures that the secondary frequency control objectives (i.e. generation/demand balance and the frequency attaining its nominal value at steady state) are satisfied. We present analytical conditions on the generation and on-off load profiles such that an $ε$-optimality interpretation of the steady state power allocation is obtained, providing a non-conservative value for $ε$. Moreover, we develop a hierarchical control scheme that provides on-off load values that satisfy the proposed conditions. We study the interaction of the proposed control scheme with the physical dynamics of the power network and provide analytic stability guarantees. Our results are verified with numerical simulations on the Northeast Power Coordinating Council (NPCC) 140-bus system, where it is demonstrated that the proposed algorithm yields a close to optimal power allocation.

13 pages, 6 figures

Keywords

Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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