2019
DOI: 10.1109/tsg.2017.2731810
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Distributed Frequency Control With Operational Constraints, Part I: Per-Node Power Balance

Abstract: Abstract-This paper addresses the distributed optimal frequency control of multi-area power system with operational constraints, including the regulation capacity of individual control area and the power limits on tie-lines. Both generators and controllable loads are utilized to recover nominal frequencies while minimizing regulation cost. We study two control modes: the per-node balance mode and the network balance mode. In Part I of the paper, we only consider the per-node balance case, where we derive a com… Show more

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Cited by 58 publications
(34 citation statements)
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“…We adopt a second-order linearized model to describe the frequency dynamics of each bus. We assume that the lines are lossless and adopt the DC power flow model [10,8]. For each bus j ∈ N, let θ j (t) denote the rotor angle at node j at time t and ω j (t) the frequency.…”
Section: Network Modelmentioning
confidence: 99%
See 3 more Smart Citations
“…We adopt a second-order linearized model to describe the frequency dynamics of each bus. We assume that the lines are lossless and adopt the DC power flow model [10,8]. For each bus j ∈ N, let θ j (t) denote the rotor angle at node j at time t and ω j (t) the frequency.…”
Section: Network Modelmentioning
confidence: 99%
“…Assumption 1 could be further relaxed, since a nonstrictly convex function can be strictly convexified by using a nonlinear perturbation [21]. (8) allows the cost function f j (P l j ) to be nonsmooth, which is required to be differentiable in the existing literature [8,9,10,11,12,13,14]. Thus, the problem (8) is more general and suitable for a variety of real problems whose regulation costs are not smooth.…”
Section: Optimization Problemmentioning
confidence: 99%
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“…However, with the proliferation of renewable and distributed energy technologies, the power systems will no longer be dominated by a few large SGs, but by massive small devices with various dynamical characteristics [4]. In such a power system with massive heterogeneous dynamics, traditional centralized methods may fail due to the computational burden, communication failures, or even privacy concerns [5]- [7]. Thus, it is necessary to develop distributed stability analytics which is adaptable to heterogeneity and scalability.…”
Section: Introductionmentioning
confidence: 99%