Daily load profiles for residential, commercial and industrial low voltage consumers

Jardini, J.A.; Tahan, Carlos Márcio Vieira; Gouvea, Marcos Roberto; Ahn, Se Un; Figueiredo, F. M.

doi:10.1109/61.847276

Cited by 371 publications

(176 citation statements)

References 4 publications

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“…daily loads, whereas ² x and Ä x are the corresponding average loads for the residential consumers and office, respectively (Jardini et al, 2000). The values of the average loads used in this paper are reported in Table I.…”

Section: Conditional Expected Lofmentioning

confidence: 99%

Simulation-based exploration of high-dimensional system models for identifying unexpected events

Turati

Pedroni

Zio

2017

Reliability Engineering & System Safety

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. Simulation-based exploration of highdimensional system models for identifying unexpected events. Reliability Engineering and System Safety.http://dx.doi.org/10.1016/j.ress.2017.04.004Simulation-based exploration of high-dimensional system models for identifying unexpected events AbstractMathematical numerical models are increasingly employed to simulate system behavior and identify sequences of events or configurations of the system's design and operational parameters that can lead the system to extreme conditions (Critical Region, CR). However, when a numerical model is: i) computationally expensive, ii) high-dimensional, and iii) complex, these tasks become challenging.In this paper, we propose an adaptive framework for efficiently tackling this problem: i) a dimensionality reduction technique is employed for identifying the factors and variables that most affect the system behavior; ii) a meta-model is sequentially trained to replace the computationally expensive model with a computationally cheap one; iii) an adaptive exploration algorithm based on Markov Chain Monte Carlo is introduced for exploring the system state space using the meta-model; iv) clustering and other techniques for the visualization of high dimensional data (e.g., parallel coordinates plot) are employed to summarize the retrieved information.The method is employed to explore a power network model involving 20 inputs. The CRs are properly identified with a limited computational cost, compared to another exploration technique of literature (i.e., Latin Hypercube Sampling).

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Section: Conditional Expected Lofmentioning

confidence: 99%

Simulation-based exploration of high-dimensional system models for identifying unexpected events

Turati

Pedroni

Zio

2017

Reliability Engineering & System Safety

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“…2 and analyzed in Section V. The synchronous generator was represented by an eight-order model in the dq rotor reference frame, which is equipped with an automatic excitation system. Typical load curves of residential, industrial, and commercial customers based on the data supplied in [25] were used to represent the variation of loads L-01 to L-06. The daily load curves are segmented from 0 to 24 h in intervals of 15 min.…”

Section: Appendix a Nondetection Index Calculation By Emt Simulationsmentioning

confidence: 99%

“…2 with a 30-MVA synchronous generator with 1.5 second was used in the analyses. Typical load curves of residential, industrial, and commercial customers based on the data supplied in [25] were used to represent the variation of loads L1 to L6, which were segmented from 0 to 24 h, in intervals of 15 min. Some of these curves are presented later.…”

Section: Sensitivity and Validation Studymentioning

confidence: 99%

Nondetection index of anti-islanding passive protection of synchronous distributed generators

Salles

Freitas

Vieira

et al. 2013

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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Abstract-Synchronous distributed generators are prone to operate islanded after contingencies, which is usually not allowed due to safety and power-quality issues. Thus, there are several anti-islanding techniques; however, most of them present technical limitations so that they are likely to fail in certain situations. Therefore, it is important to quantify and determine whether the scheme under study is adequate or not. In this context, this paper proposes an index to evaluate the effectiveness of anti-islanding frequency-based relays commonly used to protect synchronous distributed generators. The method is based on the calculation of a numerical index that indicates the time period that the system is unprotected against islanding considering the global period of analysis. Although this index can precisely be calculated based on several electromagnetic transient simulations, a practical method is also proposed to calculate it directly from simple analytical formulas or lookup tables. The results have shown that the proposed approach can assist distribution engineers to assess and set anti-islanding protection schemes.

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“…By using RLPs and VLPs, a stable operation of the distribution line is provided in the field through management and automation of the distribution network [4,5], prediction of old facilities, load forecasting [6,7], and market price forecasting [8]. To generate the VLP of a non-AMR customer, it is necessary to obtain the typical load profile (TLP).…”

Section: Introductionmentioning

confidence: 99%

Repeated Clustering to Improve the Discrimination of Typical Daily Load Profile

Kim¹,

Ko²,

Song³

et al. 2012

Journal of Electrical Engineering and Technology

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-The customer load profile clustering method is used to make the TDLP (Typical Daily Load Profile) to estimate the quarter hourly load profile of non-AMR (Automatic Meter Reading) customers. This study examines how the repeated clustering method improves the ability to discriminate among the TDLPs of each cluster. The k-means algorithm is a well-known clustering technology in data mining. Repeated clustering groups the cluster into sub-clusters with the k-means algorithm and chooses the sub-cluster that has the maximum average error and repeats clustering until the final cluster count is satisfied.

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Daily load profiles for residential, commercial and industrial low voltage consumers

Cited by 371 publications

References 4 publications

Simulation-based exploration of high-dimensional system models for identifying unexpected events

Simulation-based exploration of high-dimensional system models for identifying unexpected events

Nondetection index of anti-islanding passive protection of synchronous distributed generators

Repeated Clustering to Improve the Discrimination of Typical Daily Load Profile

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