ATP Cards Automatic Generation from an Electrical Network Elements Database Using Python

Muniz, João Rodrigo Silva; Moraes, A. A. Jean; Rocha, Vanderson; Nunes, Vânia; Barradas, P. S. Raphael; Bezerra, Ubiratan Holanda; Brito, Adriane B.; Monteiro, Flavia Pessoa; CARVALHO, LETÍCIA SEPEDA

doi:10.1109/induscon.2018.8627278

Cited by 6 publications

(7 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To perform the surge arrester allocation using the proposed GA procedure, firstly, it is necessary to model the electrical network via ATP input cards, which serve as template for the genetic algorithm. This template can be constructed manually by using ATPDraw module or automatically by using the procedure presented in [9].…”

Section: Proposed Methodologymentioning

confidence: 99%

Optimized Surge Arrester Allocation Based on Genetic Algorithm and ATP Simulation in Electric Distribution Systems

et al. 2019

View full text Add to dashboard Cite

The efficient protection of electric power distribution networks against lightning discharges is a crucial problem for distribution electric utilities. To solve this problem, the great challenge is to find a solution for the installation of surge arresters at specific points in the electrical grid and in a sufficient quantity that can ensure an adequate level of equipment protection and be within the utility’s budget. As a solution to this problem of using ATP (Alternative Transient Program), this paper presents a methodology for optimized surge arrester allocation based on genetic algorithm (GA), with a fitness function that maximizes the number of protected equipment according to the financial availability for investment in surge arresters. As ATP may demand too much processing time when running large distribution grids, an innovative procedure is implemented to obtain an overvoltage severity description of the grid and select only the most critical electric nodes for the incidence of lightning discharges, in the GA allocation procedure. The results obtained for the IEEE-123 bus electric feeder indicate a great reduction of flashover occurrence, thus increasing the equipment protection level.

show abstract

Section: Proposed Methodologymentioning

confidence: 99%

Optimized Surge Arrester Allocation Based on Genetic Algorithm and ATP Simulation in Electric Distribution Systems

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The input data were defined as the electrical system data such as poles, branches, transformers, capacitor banks, and surge arresters. The ATP input file could be prepared using the ATPdraw graphical interface or using an automatic ATP card generator, as the one proposed in [22]. For an operator, the base case could be understood as a newly designed distribution network in accordance with the utility's standards, in which it was desired to evaluate its protection through computational simulations to improve its performance before its implantation.…”

Section: Proposed Methodologymentioning

confidence: 99%

Methodology for Analysis of Electric Distribution Network Criticality Due to Direct Lightning Discharges

et al. 2020

View full text Add to dashboard Cite

Direct lightning discharges in overhead distribution networks invariably cause serious insulation damage, frequently leading to the electric system’s partial or total shutdown. Installing lightning arresters can be very effective, and it is commonly used to minimize this problem; however, considering that typically, electric distribution grids exhibit a very large number of electrical nodes, the massive use of lightning arresters may not be economically viable. In this way, this article proposes a methodology for allocating lightning arresters that can significantly reduce the number of lightning arresters installed, but at the same time maintaining an adequate protection level for the distribution grid. The proposed methodology, named Direct Discharge Crossing (DDC), analyzes the network criticality based on two main factors, which are the overvoltage magnitudes and the number of flashovers provoked by lightning discharges, and defines a feeder lightning performance function that is used to indicate the recommended location for lightning arresters’ installation. The simulation studies are accomplished using the IEEE 34 bus distribution grid and ATP software to demonstrate the efficacy of the proposed solution, which is confirmed by the results presented.

show abstract

“…The same scenario of [10] was used in this study, where four nonlinear loads were specified at buses B11, B29, B49 and B51, modeled by the ATP Draw software as shown in Figure 3, configuring nonlinear loads as harmonic current sources HS1, HS2, HS3, and HS4 respectively. Importantly, ATP Draw software is widely used in power quality analysis, simulating the characteristics and the actual behavior of the network satisfactorily [41][42][43][44][45].…”

Section: Ieee-13 Bus Industrial Electrical Distribution Systemmentioning

confidence: 99%

Using True RMS Current Measurements to Estimate Harmonic Impacts of Multiple Nonlinear Loads in Electric Distribution Grids

Monteiro

Tostes

et al. 2019

Energies

View full text Add to dashboard Cite

Currently, for analyzing harmonic impacts on voltage at a point of interest, due to multiple nonlinear loads, the literature recommends carrying out simultaneous and synchronized measurement campaigns in all suspicious points with the use of high cost energy quality analyzers that are usually not available at the customers’ facilities and very often also not at the electric utilities. To overcome this drawback this paper proposes a method of assessing the harmonic impact due to multiple nonlinear loads on the total voltage harmonic distortion using only the load current true RMS values which are already available in all customers’ installations. The proposed methodology is based on Regression Tree technique using the Permutation Importance indicator which is validated in two case studies using two different electrical systems. The first case study is to ratify the use of Permutation Importance to measure the impact factor of each nonlinear load in a controlled scenario, the IEEE-13 bus test system, using ATP simulation (Alternative Transient Program). The second is to apply the methodology to a real system, an Advanced Measurement Infrastructure System (AMI) implanted on a campus of a Brazilian University, using low cost meters with only true RMS current measurements. The results achieved demonstrated the feasibility of applying the proposed methodology in real electric systems without the need for additional investments in high-cost energy quality analyzers.

show abstract

ATP Cards Automatic Generation from an Electrical Network Elements Database Using Python

Cited by 6 publications

References 7 publications

Optimized Surge Arrester Allocation Based on Genetic Algorithm and ATP Simulation in Electric Distribution Systems

Optimized Surge Arrester Allocation Based on Genetic Algorithm and ATP Simulation in Electric Distribution Systems

Methodology for Analysis of Electric Distribution Network Criticality Due to Direct Lightning Discharges

Using True RMS Current Measurements to Estimate Harmonic Impacts of Multiple Nonlinear Loads in Electric Distribution Grids

Contact Info

Product

Resources

About