Load shedding through optimal power flow to support self-healing actions in distribution feeders

Ferreira, Leandro; Siebert, Luciano Cavalcante; Aoki, Alexandre Rasi; Fernandes, Thelma Solange Piazza

doi:10.1109/tdc-la.2014.6955243

Cited by 10 publications

(2 citation statements)

References 7 publications

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“…An optimized self-healing strategy planner will try to minimize the losses during this process. Reference [31] presents a methodology to optimally restore the maximum loads to minimize system power and energy losses, while assuring power quality. The decision parameter considered in this research is the number of searching spaces in switching values.…”

Section: A Reducing Power Lossesmentioning

confidence: 99%

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A Review on Self-healing in Modern Power Distribution Systems

Ali Arefifar,

Shahin Alam,

Hamadi

2023

Journal of Modern Power Systems and Clean Energy

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The ever-increasing dependence on electrical power has posed more challenges to power system engineers to deliver secure, stable, and sustained energy to electricity consumers. Due to the increasing occurrence of short-and long-term power interruptions in the power system, the need for a systematic approach to mitigate the negative impacts of such events is further manifested. Self-healing and its control strategies are generally accepted as a solution for this concern. Due to the importance of self-healing subject in power distribution systems, this paper conducts a comprehensive literature review on self-healing from existing published papers. The concept of self-healing is briefly described, and the published papers in this area are categorized based on key factors such as self-healing optimization goals, available control actions, and solution methods. Some proficient techniques adopted for self-healing improvements are also classified to have a better comparison and selection of methods for new investigators. Moreover, future research directions that need to be explored to improve self-healing operations in modern power distribution systems are investigated and described at the end of this paper.

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Section: A Reducing Power Lossesmentioning

confidence: 99%

“…References [21] and [22] maximize the restored load and optimal switching operation within the shortest possible time by proposing a restoration plan in the distribution system. Reference [31] proposes a methodology to support self-healing in distribution systems to restore the maximum possible load while ensuring power quality.…”

Section: Introductionmentioning

confidence: 99%

A Review on Self-healing in Modern Power Distribution Systems

Ali Arefifar,

Shahin Alam,

Hamadi

2023

Journal of Modern Power Systems and Clean Energy

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Unified optimization model for energy management in sustainable smart power systems

Ahmad

Naeem

Ahmad³

2019

Int Trans Electr Energ Syst

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Summary Peak power consumption is one of the most critical issues for power system operation and sustainability. To overcome this issue, the available energy resources may be utilized in an efficient way. Demand‐side management (DSM) may be used for the efficient utilization of the available resources to reduce the peak power consumption by rescheduling the shiftable appliances. Apart from this, a number of other objectives are also achieved by DSM. In the literature, DSM is used to reduce the electricity cost, curtail peak hour's demand, diminish peak‐to‐average power ratio, and minimize the distribution losses. To the best knowledge of the authors, none of the research articles has considered all the mentioned objectives in a single model. To fill this research gap, we propose a unified DSM model where we focus to get the abovementioned objectives of DSM in a single framework. This unified DSM framework also gives liberty to the power system administration for the operation of the system with exchange policies of government and the company itself. While getting the abovementioned objectives, our proposed unified model can take care of a number of DSM features including importance of heterogeneous load, load shedding, human interaction factor, peak clipping, valley filling, load shifting, appliances priorities, and consumer preferences.

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