Learn How PTI Uses the Python Optimization Model for the Phasor Measurement Unit Selection in Electrical Networks

In summary, today we will discuss an optimized selection of the number and locations of PMUs by using the ETAP software, following these steps. We can start by defining the theory and then the device used to capture real-time measurements of both voltage and current in the specified format.
By Mr. Rafael Franco Manrique, Technology Innovation Specialist, PTI SA

This case study demonstrates the development of standard ETAP analyses using the Python programming language. PTI developed an optimization algorithm for selecting numbers and locations for PMUs (Phasor Measurement Unit) with visualization, empowering electrical network operators.

The Potencia y Tecnologías Incorporadas S.A. (PTI) is a company dedicated to engineering, consulting, assembly, testing, commissioning, import, and distribution. Also, it represents major international firms in the areas of software for electrical system analysis, power system equipment, telecommunications, and automation. Thanks to strategic alliances with several manufacturers around the world through representations of the highest quality products, as well as the development of a portfolio of high engineering services within the reach of companies throughout the electric power production chain in Colombia and the region. They have a solid team of more than 130 people, with four national headquarters (Cali, Bogotá, Barranquilla, and Medellín), two legal entities—one in Lima, Peru, and another in Santiago, Chile—and the first real-time testing laboratory in Colombia.

Location: Cali, Valle del Cauca, Colombia

Year: 2023

Optimizing Phasor Measurement Unit placement and number in the electrical network

Challenges

  • Resignation from manual selection and calculation of using of Phasor Measurement Units in the electrical network.
  • Finding sure tools to model electrical network topology and calculate if PMU should be used and where it should be used.
  • Phasor Measurement Units modeling with all needed parameters, according to the electrical theory.
  • Developing specific analysis scenarios for different topology models.
  • Delivering professional reports to customers and facilitating decisions.

Which solutions did they choose?

Selected applications

They chose etapPy™ to develop the capabilities already existing in the ETAP software, by using a Python editor.

As a base software, they utilize ETAP Digital Twin for grid modeling and analyzing and ETAP Real-Time to manage electrical networks.

Why do they use Etap?

Main Customer Benefits

  • Digital-Twin Electrical Network Topology development by adding a new behavior, PMU, with needed parameters.
  • Python open technology used directly in ETAP dashboard.
  • Implementation of new algorithms, new simulations without any cash investment.
  • Reducing the time required to choose locations and numbers of PMUs in the actual grid model, without error introduced by measurement equipment.
  • High-quality analysis reporting with an optimal dose of information, and high-level visibility of the network.
  • Easy generation of similar scenarios by editing already existing scenarios.

What do they think about ETAP?

Opinions

Python is currently one of the most powerful programming languages leveraged. Python was also chosen because ETAP has a strong interface with it through the ETAP Data Hub and Python server.

By Mr. Rafael Franco Manrique, Technology Innovation Specialist, PTI SA

The purpose of the proposed methodology is to integrate this optimization algorithm with etapPy to minimize the number of PMUs, optimize their location, and enhance electrical system visualization. In this way, this tool allows the network operator to analyze and monitor the electrical power system.
By Mr. Rafael Franco Manrique, Technology Innovation Specialist, PTI SA



Videos

Development of a Python Optimization Model for the Analysis and Planning of PMU Locations in Electrical Networks​

The proposed methodology aims to seamlessly integrate an optimization algorithm with etapPY, minimizing the number of PMUs required, strategically placing them within the electrical network, and enhancing overall system observability to empower network operators with advanced analytical tools for comprehensive monitoring and analysis.


Solutions


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