Reliability Assessment in Rural Distribution Systems With Microgrids: A Computational- Based Approach

López-Prado, Jose L.; González, Jorge W.; Vélez, Jorge Íván Bonilla; García-Llinás, Guisselle A.

doi:10.1109/access.2022.3166508

Cited by 6 publications

(4 citation statements)

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“…The main issue of the reliability assessment is the capacity of the power system to meet the expected demand. In [19], a reliability assessment was performed for a microgrid comprising renewable sources.…”

Section: Literature Surveymentioning

confidence: 99%

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Reliability Improvement of a Hybrid Electric Vehicle Integrated Distribution System

Sripriya

Kumar²,

Joseph³

et al. 2023

Energies

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The recent trend in hybrid electric vehicles (HEV) has increased the need for vehicle charging stations (VCS) in the distribution system. In this condition, the additional load in the system leads to an increase in power loss, reduction in voltage and reliability of the system. The drawbacks of introducing this additional load can be rectified by integrating distributed generation (DG) into the distribution system. In this paper, the ideal location for placing DG is identified through the voltage stability index. The power loss minimization objective function is formulated with all the required constraints to estimate the size of DG required for the distribution system. Moreover, loss of load probability is used as a reliability assessment technique, through which the system reliability is analyzed after assessing the impact of integrating VCS and DG. Simulations are carried out to compare the following cases: a system without VCS and DG, a system that has only VCS and a system that has both VCS and DG. The IEEE 12-bus and 33-bus test systems are considered. In the 12-bus system with both VCS and DG, the power loss is reduced by 56% when compared with the system with only VCS, while the net reliability is also improved. The reliability of the system is evaluated for a 24 h load variation. The proposed work provides an efficient tool to improve the reliability of the system with support from DG.

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Section: Literature Surveymentioning

confidence: 99%

“…Steps to perform distribution load flow are given below: STEP 1: Start the process with the initial voltage at each bus as 1 p.u. STEP 2: Calculate the current at each bus based on the load connected using Equation (19).…”

Section: Forward and Backward Sweep Algorithmmentioning

confidence: 99%

Reliability Improvement of a Hybrid Electric Vehicle Integrated Distribution System

Sripriya

Kumar²,

Joseph³

et al. 2023

Energies

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“…The choice of stochastic methods for uncertainty analysis is based on the output accuracy, computational efficiency, and burden, and the ease with which the method can be integrated with the existing analysis and simulation packages [25]. In [26], the authors used the computational based Monte Carlo (MC) simulation for the reliability assessment of rural distribution system with MGs. This method is very flexible, easily extendable, and supported by most of the commercial software packages which are used for power system analysis and A simulation.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Techno-Economic Design of Isolated Microgrid

Jeyaprabha

Milanović

2023

IEEE Trans. Power Syst.

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Isolated microgrid (MG) proved its potential to electrify the remote community through the cheaper and greener renewable energy alternatives with higher reliability than the weak grid. The goal of universal electricity access and the climate change mitigation paves the way for many public/private owned microgrids in remote areas. Having in mind various uncertainties associated with the design parameters of the MG (e.g., temperature, irradiation, load), this paper presents a probabilistic approach for optimal sizing and techno-economic assessment of the PV-based MG. The potential environmental impact of the isolated MG is taken into account by considering both, the PV/Battery, and more conventional PV/Battery/Diesel Generator configuration. The effectiveness of multi-year data over the single year data in the probabilistic approach is demonstrated. The probabilistic techno-economic analysis of different configurations facilitates informed decision making regarding the configuration and size of MG components while meeting the reliability of supply and environmental constraints. The feasibility and affordability of the configurations are demonstrated through the distribution of net present cost, levelized cost of energy and the unmet load percentage.

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“…Reference [18] proposed a reliability evaluation method for distribution network based on the improved Monte Carlo method and risk priority index. Considering the different penetration rates of the DGs, without DGs, and the rated power of energy storage, reference [19] studied the impact of microgrids on the reliability of rural distribution system based on the sequential Monte Carlo method. Reference [20] investigated a performance-oriented active distribution network planning method based on Monte Carlo and deep learning.…”

Section: Introductionmentioning

confidence: 99%

Reliability evaluation method for distribution network with distributed generations considering feeder fault recovery and network reconfiguration

Wang,

Lu,

Sun

et al. 2023

IET Renewable Power Gen

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This paper presents a reliability evaluation method for distribution network with distributed generations considering feeder fault recovery and network reconfiguration, and mainly addresses issues: 1) insufficient consideration of the characteristics for the components and distributed generations (DGs) of distribution network such as time sequences, randomness and intermittency; 2) changes in the feeder area of the distribution network after the access of DGs; and 3) multi‐dimensional reliability index for distribution network with DGs has not been formed perfectly. Firstly, Markov reliability model for distribution network components/DGs is established in our study. Then, considering the fault recovery and network reconfiguration of the feeder area, island partitioning method of distribution network with DGs is also proposed. Moreover, a reliability evaluation model is presented for distribution network with DGs based on sequential Monte Carlo method. Case study is performed on the improved IEEE RBTS BUS6 F4 feeder system, and the research results indicate the validity and effectiveness of the proposed method. In addition, the system reliability indicators, such as system average interruption frequency index (SAIFI), system average interruption duration index (SAIDI), customer average interruption duration index (CAIDI), and average system availability index (ASAI), are studied and discussed in detail from three dimensions: the access of DGs, the types of DGs, and the capacity of DGs.

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Reliability Assessment in Rural Distribution Systems With Microgrids: A Computational- Based Approach

Cited by 6 publications

References 50 publications

Reliability Improvement of a Hybrid Electric Vehicle Integrated Distribution System

Reliability Improvement of a Hybrid Electric Vehicle Integrated Distribution System

Probabilistic Techno-Economic Design of Isolated Microgrid

Reliability evaluation method for distribution network with distributed generations considering feeder fault recovery and network reconfiguration

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