Real time validation of a control system for microgrids with distributed generation and storage resources

JAG Archetti, DCS Júnior, L de Medeiros… - Electric Power Systems …, 2023 - Elsevier
Electric Power Systems Research, 2023Elsevier
Faced with a scenario in which the increase in renewable energy generated near consumer
centers can cause problems for the operation of the electrical network, the present work
proposes a real-time simulation model for automation and control systems of electrical
distribution networks with microgrids, distributed generation, and storage resources. The
proposed model consists of a hardware-in-the-loop control with the aid of a simulation tool in
conjunction with a Real-Time Digital Simulator (RTDS) and considers the dynamic behavior …
Abstract
Faced with a scenario in which the increase in renewable energy generated near consumer centers can cause problems for the operation of the electrical network, the present work proposes a real-time simulation model for automation and control systems of electrical distribution networks with microgrids, distributed generation, and storage resources. The proposed model consists of a hardware-in-the-loop control with the aid of a simulation tool in conjunction with a Real-Time Digital Simulator (RTDS) and considers the dynamic behavior of switched elements and inverters. A communication platform using TCP/IP protocol between RTDS (power system) and MatLab/Simulink (optimization algorithms) allows the operation of the network in grid-connected and islanded mode, guaranteeing the computational time for experimental implementation. For the first mode, an algorithm is proposed to solve an optimal dispatch energy storage system problem. Second mode, an algorithm is proposed to solve a load shedding problem. The objective is to operate the microgrids optimally and evaluate the performance of a storage system based on real data from the state of Paraná, in Brazil. Results show that the optimization algorithms are experimentally applicable, obtaining reasonable computational time to find optimal solutions and an assertive decision-making to meet the objectives. Thus, the proposed framework is a potential tool to validate algorithms for active management of microgrids in real-time simulation.
Elsevier
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