fernandocalenzani

sed-evolutionary-computing-dragonfly

This work proposes a planning methodology of distribution systems formulated as a nonlinear optimization problem, which was solved through the heuristic Dragonfly Optimization Algorithm, which will be developed with the integration between OpenDSS for power flow calculation and Python for collection, modifying the feeder and displaying the results. The Dragonfly Algorithm is responsible for the reconfiguration of the feeder, with the objective function of minimizing the costs of expansion and technical losses. The proposed methodology was tested on the IEEE 123 feeder adapted buses, which is a test network with more than 123 buses, multiple switches, regulators, transformers, etc. Finally, the reconfiguration proposal brought an economy 22% compared to the original expansion plan, simulated with Dragonfly Algorithm, with 30 dragonflies and maximum number of iterations equal to 25, showing the effectiveness of the algorithm when applied to electric power distribution systems.

evolutionary-computing-minlp

The objective of this work is to propose an adaptation in the methodology of technical planning of electric energy distribution systems, in order to consider the use of stochastic profiles of generation and consumption of electric energy. In the present study, it was possible to calculate the loading on the buses, finding all the magnitudes that involve the problem, making it possible to estimate and replace the conductors with loading above 66%. Resources used by OPENDSS to calculate IEEE123 and MATLAB network power flow for data management, network, noise filtering, network manipulation, among other resources. In addition, it was possible to calculate the cost of repowering the entire network after the simulation of the efficiency flow and the permutation of the points of generation and consumption.

ai-vision-computer

fernandocalenzani

ai-computer-vision

Vision Computer basic elements

ai-deeplearning-investment

ai-nlp-chatbot

ai-nn-perceptron

ai-tensorflow-2.0

sed-automatic-dispenser

automatic doser with IoT technology

fernandocalenzani/fernandocalenzani

fernandocalenzani/sed-evolutionary-computing-dragonfly

This work proposes a planning methodology of distribution systems formulated as a nonlinear optimization problem, which was solved through the heuristic Dragonfly Optimization Algorithm, which will be developed with the integration between OpenDSS for power flow calculation and Python for collection, modifying the feeder and displaying the results. The Dragonfly Algorithm is responsible for the reconfiguration of the feeder, with the objective function of minimizing the costs of expansion and technical losses. The proposed methodology was tested on the IEEE 123 feeder adapted buses, which is a test network with more than 123 buses, multiple switches, regulators, transformers, etc. Finally, the reconfiguration proposal brought an economy 22% compared to the original expansion plan, simulated with Dragonfly Algorithm, with 30 dragonflies and maximum number of iterations equal to 25, showing the effectiveness of the algorithm when applied to electric power distribution systems.

fernandocalenzani/stream-data

fernandocalenzani/sed-clean-code

fernandocalenzani/ai-vision-computer

fernandocalenzani/ai-nlp-chatbot

fernandocalenzani/ai-deeplearning-investment

fernandocalenzani/ai-tensorflow-2.0

fernandocalenzani/ai-nn-perceptron

fernandocalenzani/evolutionary-computing-minlp

The objective of this work is to propose an adaptation in the methodology of technical planning of electric energy distribution systems, in order to consider the use of stochastic profiles of generation and consumption of electric energy. In the present study, it was possible to calculate the loading on the buses, finding all the magnitudes that involve the problem, making it possible to estimate and replace the conductors with loading above 66%. Resources used by OPENDSS to calculate IEEE123 and MATLAB network power flow for data management, network, noise filtering, network manipulation, among other resources. In addition, it was possible to calculate the cost of repowering the entire network after the simulation of the efficiency flow and the permutation of the points of generation and consumption.

fernandocalenzani/sed-lins-database

Elaboration of a Data Management System of the Espírito Santo Research, Technical Assistance and Rural Extension Institute (INCAPER). The objective of this work was to transform the information generated as a result of analyzes from the Soil laboratories, Plant Tissues Laboratory and Soil Chemistry Laboratory into digital information, building software capable of managing data and issuing technical reports.

fernandocalenzani/ai-computer-vision

Vision Computer basic elements

fernandocalenzani/sed-automatic-dispenser

automatic doser with IoT technology