A Universal Power Flow Algorithm for Industrial Systems and Microgrids—Active Power

Cai, Niannian; Khatib, Abdel Rahman

doi:10.1109/tpwrs.2019.2920122

Cited by 14 publications

(4 citation statements)

References 13 publications

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“…Constants θ and k denote the angle of curve and the approximation order at the origin. Figures 10 and 11 illustrate the resemblance between generator's actual contingency response and candidate curve that are obtained using (15).…”

Section: B Continuously-differentiable Contingency Responsementioning

confidence: 99%

“…The candidate curves given in (15) include inverse hyperbolic tangent (15a), inverse arctangent (15b), inverse algebraic (15c), inverse error (15d), and inverse absolute-value functions. In the following section, we examine the merits of the proposed surrogate functions on the performance of local search algorithms for SCOPF.…”

Section: B Continuously-differentiable Contingency Responsementioning

confidence: 99%

“…Ross Baldick is with the University of Texas at Austin (email: tuncay.altun@uta.edu; ramtin.madani@uta.edu; atamturk@berkeley.edu, baldick@mail.utexas.edu, davoudi@uta.edu). [15] by sacrificing the optimal operation. Moreover, possible component outage, i.e.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Enhanced Modeling of Contingency Response in Security-constrained Optimal Power Flow

Altun¹,

Madani²,

Atamtürk³

et al. 2021

Preprint

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This paper provides an enhanced modeling of the contingency response that collectively reflects high-fidelity physical and operational characteristics of power grids. Integrating active and reactive power contingency responses into the securityconstrained optimal power flow (SCOPF) problem is challenging, due to the nonsmoothness and nonconvexity of feasible sets in consequence of piece-wise curves representing generator characteristics. We introduce a continuously-differentiable model using functions that closely resemble PV/PQ switching and the generator contingency response. These models enforce physical and operational limits by optimally allocating active power imbalances among available generators and deciding the bus type to switch from the PV type to the PQ type. The efficacy of this method is numerically validated on the IEEE 30-bus, 300bus, and 118-bus systems with 12, 10, and 100 contingencies, respectively.

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Section: B Continuously-differentiable Contingency Responsementioning

confidence: 99%

Section: B Continuously-differentiable Contingency Responsementioning

confidence: 99%

See 1 more Smart Citation

Enhanced Modeling of Contingency Response in Security-constrained Optimal Power Flow

Altun¹,

Madani²,

Atamtürk³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…A modern technique has been presented by Niannian Cai and colleagues; they presented research on universal power flow algorithms for industrial systems and microgrids. Their system has the ability to handle active control strategies, including isochronous (ISOC) and droop control [21]. Design of the Smart Street is shown on Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Electrical Energy Flow Algorithm for Household, Street and Battery Charging in Smart Street Development

et al. 2021

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The world demands a smart and green future in every sector, which directly corresponds to increases in electrical energy demand one way or another. It is unfeasible to attain future energy demand with the present electrical infrastructure. That means more research and development is required. Future energy sources should be intermittent, and, in addition, the energy sector should be more inwards for distributed energy generation with demand side control. In such cases, the smartest and most autonomous system would be essential to deliver an adequate power supply with all electrical properties. A real-time monitoring and control system with a self-healing infrastructure is a forthcoming desideratum. By accepting these challenges, we have designed a smart street. The basic idea of the smart street is presented in this paper as a landing page; the paper is more focused on emphasizing information regarding the electrical energy flow algorithm for the household, street, and street battery storages. This algorithm is helpful for two-way energy flow and the automatic detection of islanding and the grid connection mode. It will be not only helpful for the users but to the utility as well.

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Load Flow in Microgrids

Nascimento

Godoy

Marujo

et al. 2022

Lecture Notes in Electrical Engineering

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A Universal Power Flow Algorithm for Industrial Systems and Microgrids—Active Power

Cited by 14 publications

References 13 publications

Enhanced Modeling of Contingency Response in Security-constrained Optimal Power Flow

Enhanced Modeling of Contingency Response in Security-constrained Optimal Power Flow

Electrical Energy Flow Algorithm for Household, Street and Battery Charging in Smart Street Development

Load Flow in Microgrids

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