Reduction of Forced Outages in Islanded Microgrids by Compensating Model Uncertainties in PV Rating and Battery Capacity

Michaelson, Dennis; Mahmood, Hisham; Jiang, Jin

doi:10.1109/jpets.2018.2878329

Cited by 11 publications

(4 citation statements)

References 28 publications

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“…In [8], the comparison of the reclosing application has been presented based on the secondary arc behavior during simulations, laboratory results, and realtime implementation. In [9], different degrees of feeder automation have also been presented to reduce the outage time with remote-controlled breakers that will selectively perform load shedding based on their degree of criticality. In past decades, much research has been done on fault and outage location detection algorithms as one of the most economical and efficient methods to enhance the resilience of distribution systems [10].…”

Section: B Literature Reviewmentioning

confidence: 99%

Adaptive Reclosing Technique Using Variational Mode Decomposition Algorithm in BESS-Based Microgrid

Chandrakar,

Biswal,

Kishor

et al. 2023

IEEE Access

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This study introduces a novel adaptive technique to accelerate the process of reclosing in a Battery Energy Storage System (BESS)-based microgrid system to provide an uninterrupted power supply (UPS). Two different methodologies, Fault Current Contribution Ratio (FCCR) and Variational Mode Decomposition (VMD) are used to implement the proposed technique. First, the FCCR between the healthy and faulty phases is estimated in the relay after the occurrence of the transient. In the next stage, exact fault occurrences and clearance instances are detected using the VMD technique. The exact detection of fault clearance time will help reduce the conventional outage time. This will reduce the unwanted burden on the BESS as it can be used adaptively during the fault only. The comparative assessment is done to show the efficacy of the proposed reclosing method. The proposed technique will also help distinguish faults from switching operations. The performance of the proposed method is validated through a modified IEEE 13-bus BESS-based microgrid architecture. The EMTDC/PSCAD software is used for simulation. The algorithms are developed on the MATLAB platform. Real-time test results are also provided for the signals obtained from the Smart Grid Technology Laboratory (SGTL) lab setup. The results prove the efficacy of the proposed technique.INDEX TERMS Variational Mode Decomposition (VMD), Battery Energy Storage System (BESS), Uninterrupted Power Supply (UPS), and Total Harmonic Distortion (THD).

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Section: B Literature Reviewmentioning

confidence: 99%

Adaptive Reclosing Technique Using Variational Mode Decomposition Algorithm in BESS-Based Microgrid

Chandrakar,

Biswal,

Kishor

et al. 2023

IEEE Access

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“…The power generated using the PV panels based on environmental and structural factors like the irradiance intensity, PV panel temperature Tc or ambient temperature as shown in ( 8) and ( 9) [31]:…”

Section: ) Photovoltaic Panelsmentioning

confidence: 99%

Scheduling of Diesel Generators Operation with Restricted PCC in Microgrid

Aklo¹,

Rashid²

2021

IJEEE

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Smart Microgrid (MG) effectively contributes to supporting the electrical power systems as a whole and reducing the burden on the utility grid by the use of unconventional energy generation resources, in addition to backup Diesel Generators (DGs) for reliability increasing. In this paper, potential had been done on day-ahead scheduling of diesel generators and reducing the energy cost reached to the consumers side to side with renewable energy resources, where economical energy and cost-effective MG has been used based on optimization agent called Energy Management System (EMS). Improved Particle Swarm Optimization (IPSO) technique has been used as an optimization method to reduce fuel consumption and obtain the lowest energy cost as well as achieving the best performance to the energy system. Three scenarios are adopted to prove the efficiency of the proposed method. The first scenario uses a 24 hour time horizon to investigate the performance of the model, the second scenario uses two DGs and the third scenario depends on a 48-hour time horizon to validating the performance. The superiority of the proposed method is illustrated by comparing it with PSO and simulation results show using the proposed method can reducing the fuel demand and the energy cost by satisfying the user’s preference.

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“…However, uncertainties in the forecast methods may lead to incorrect decision in energy management system for islanding microgrid. In [24], differences between the actual and predicted data sequence were used to determine compensation of uncertainty associated with PV in islanded microgrid. The probability of successful islanding (PSI) criteria is proposed in [25] to determine the probability of microgrid meeting demands and maintaining a sufficient amount of reserve capacity in islanded mode.…”

Section: Introductionmentioning

confidence: 99%

Optimal Chance-Constrained Scheduling of Reconfigurable Microgrids Considering Islanding Operation Constraints

Hemmati

Mohammadi‐Ivatloo

Abapour

et al. 2020

IEEE Systems Journal

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Microgrid concept is one of the suitable strategies for increasing resilience and preventing load curtailment, especially in emergency conditions. Operation in islanded mode is one of the unique features of microgrids that can provide numerous benefits for both consumers and energy producers. Unlike the conventional distribution networks, reconfigurable microgrids enable the reconfiguration process to achieve optimal structure. In this article, a new optimal strategy for scheduling of reconfigurable microgrids considering islanding capability constraints is presented. To demonstrate the successful islanding operation, the islanding capability is considered as a probability of islanding operation (PIO) index which shows the probability, that the microgrid has adequate level of spinning reserve to meet the local load. Taking into account the forecast errors of generated power by renewable energy resources (PV and wind) as well as load demand, the 13-interval approximation is used for the simplification of nonlinearity of PIO. The scheduling of reconfigurable microgrid with islanding operation constraints is formulated as a chance-constrained goal optimization problem, where the objective is defined as minimizing the total operation cost of microgrid in terms of fuel cost, reliability cost, cost of purchasing power from the mains, and switching cost. The proposed method is implemented on a 10-bus radial reconfigurable microgrid test system with photovoltaic (PV) panels, wind turbines, battery, and microturbines, with different levels of PIO. The numerical results show the effectiveness of the proposed scheduling method.

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Reduction of Forced Outages in Islanded Microgrids by Compensating Model Uncertainties in PV Rating and Battery Capacity

Cited by 11 publications

References 28 publications

Adaptive Reclosing Technique Using Variational Mode Decomposition Algorithm in BESS-Based Microgrid

Adaptive Reclosing Technique Using Variational Mode Decomposition Algorithm in BESS-Based Microgrid

Scheduling of Diesel Generators Operation with Restricted PCC in Microgrid

Optimal Chance-Constrained Scheduling of Reconfigurable Microgrids Considering Islanding Operation Constraints

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