Self-Healing in Distribution Grids Supported by Photovoltaic Dispersed Generation in a Voltage Regulation Perspective

Leite, Leonardo H. M.; Boaventura, Wallace do Couto; Errico, L.; Alessi, Pedro Machado

doi:10.1109/isgt-la.2019.8894944

Cited by 1 publication

(2 citation statements)

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“…Since numerical results ∆V k,t .θ kj,t and ∆V j,t .θ kj,t are expected to be very insignifcant. Terefore, these nonlinear terms are removed from equation (8), which are fnally equation ( 10) linear relation of the power fow equation.…”

Section: Formulationmentioning

confidence: 99%

“…In [7], a self-healing control strategy is proposed that includes fault detection, fault localization, faulted area isolation, and power restoration in the electrical distribution system. In [8], a voltage control method is presented based on a comprehensive architectural model consisting of several distributed photovoltaic resources and management systems that support network reconfguration after the selfhealing operation. A self-healing approach is presented in [9], which evaluates the robustness of networked MGs during the islanded mode.…”

Section: Introductionmentioning

confidence: 99%

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Providing a New Multiobjective Two-Layer Approach for Developing Service Restoration of a Smart Distribution System by Islanding of Faulty Area

Keshavarz Ziarani,

Hosseinian,

Fakharian

2024

International Transactions on Electrical Energy Systems

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One of the essential capabilities of a smart distribution network is to improve network restoration performance using the postfault islanding method. Islanding of the faulty area can be done offline and online. Online islanding will decrease load shedding and operation cost. In this study, a novel two-step mathematical method for system restoration after the fault is presented. A new mathematical model for the optimal arrangement of the system for the faulty area in the first layer is proposed. In this layer, the main objective is to decrease the distribution system’s load shedding and operational costs. In this regard, after the fault event, the boundary of the islanded MGs is determined. Then, in the second layer, the problem of unit commitment in the smart distribution network is addressed. In addition to the load shedding, optimal planning of energy storage systems (ESSs) and nondispatchable distributed generation (DG) resource rescheduling are also determined in this layer. The important advantages of the proposed approach are low execution time and operational costs. A demand response (DR) program has also been used for optimal system restoration. Solving the problem using the multiobjective method with the epsilon-constraint method is another goal of the paper, which simultaneously minimizes the cost and the emissions of the smart distribution network. The proposed model has been tested on an IEEE 33-bus system. Better performance of the proposed model compared to the techniques in the literature has been proven.

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Section: Formulationmentioning

confidence: 99%