A Multi-Agent based Critical Load Restoration Using Islanded Operation of DGs in Radial Distribution Network

Hussain, Mazhar; Wu, Xiaoyu; Sanaullah, Kaka; Xu, Yin; Wang, Sijia

doi:10.1109/cieec47146.2019.cieec-2019145

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…In [60], a multi-agent system based critical loads restoration method and emergency control strategy using the islanded operation of renewable energy sources was established, and a case study was performed on a modified IEEE 8-bus distribution network. In [61], a resilient load restoration method that jointly maximizes the amount of restored critical loads and optimizes the restoration times by optimally allocating renewable energy sources was proposed, in which critical load restoration time constraint was considered to ensure an equitable allocation of renewable energy resources to critical loads.…”

Section: Load Restoration Strategies For Renewable-dominated Electric...mentioning

confidence: 99%

Review of restoration technology for renewable‐dominated electric power systems

Chen

Liang

Zhai

et al. 2022

Energy Conversion and Econom

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With the rapid development of renewable energy generation and multi‐energy system technologies, reviewing and discussing the emerging power system restoration methods and key technologies suitable for renewable‐dominated electric power systems and the Energy Internet are important. Based on this, the backgrounds of renewable‐dominated electric power systems and the Energy Internet are first introduced here. Subsequently, the power system restoration process is divided into three phases: the black‐start, network reconfiguration, and the load restoration phases; relative restoration strategy research on these three phases is reviewed. Moreover, the boundaries between these three phases are occasionally not sufficiently apparent or even cross in most cases owing to the severity of blackouts and other various factors. Therefore, the key technologies for power system restoration considering multiple phases are analysed in detail. Moreover, the major gaps between existing research and real‐world applications and the outlooks on the restoration technologies under renewable‐dominated electric power systems are discussed.

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Section: Load Restoration Strategies For Renewable-dominated Electric...mentioning

confidence: 99%

Review of restoration technology for renewable‐dominated electric power systems

Chen

Liang

Zhai

et al. 2022

Energy Conversion and Econom

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“…By developing multi-agents in the [18], power system restoration with multiple DGs was suggested. There was no analysis of the load variability and uncertainty of DGs.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive and Resilient Islanding Approach for Power System Considering Secondary Collapses

Ka’ka¹,

Xia²,

Hussain³

et al. 2020

Preprint

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The power system vulnerability leads to faults and the severity of the fault may lead to prolonged load-shedding. The power system needs to be configured in extreme failure scenarios for protecting the network from further contingencies and prolonged load-shedding. Distributed generation resources (DGs) can be useful to form intentional islands after faults to maintain the continuity of power supply to loads based on their weightage during faulty periods and to reduce overall load shedding duration. Power system is bound to collapses and secondary collapse in the formed island is possible. This research represents a novel method of impedance based path finding for intentional islanding, which adapts itself with the changes in the demands, DGs outputs or further severities during restoration period. In this adaptive islanding approach, network adjusts itself with the changes in either the load demands or renewable DGs outputs and rearranges the restoration plan by curtailing or adding some of the loads through controllable switches. Further a secondary collapse in the existing island is studied by injecting multiple faults at various positions of the network to validate the system resilience to cope with severities. A short-term load forecasting approach is used to predict changes in load demands and variations in DG outputs during the islanding scheme. During the restoration period, these variations are tracked and the islands are modified accordingly. In order to minimize the overall generation cost by using less fuel, an economical approach is used in the selection of controllable DGs. The proposed approach is formulated as a multi-objective, that incorporates several operational constraints and simulation is carried out using the modified IEEE 69-bus distribution system to assess the efficacy of the proposed model.

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A Multi-Agent based Critical Load Restoration Using Islanded Operation of DGs in Radial Distribution Network

Cited by 2 publications

References 8 publications

Review of restoration technology for renewable‐dominated electric power systems

Review of restoration technology for renewable‐dominated electric power systems

An Adaptive and Resilient Islanding Approach for Power System Considering Secondary Collapses

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