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

被引:4
|
作者
Archetti, Joao Antonio Guedes [1 ]
Silva Junior, Dalmo C. [1 ,2 ]
de Medeiros, Lucio [3 ]
Salamanca, Henry L. L. [3 ]
Fuchs, Leonardo [3 ]
de Oliveira, Leonardo Willer [1 ]
Oliveira, Janaina G. [1 ,4 ]
机构
[1] Univ Fed Juiz de Fora, Elect Engn Program, Multiplatform Simulat Lab, Juiz De Fora, MG, Brazil
[2] Acad Univ Ctr, Juiz De Fora, MG, Brazil
[3] Lactec Inst, Curitiba, PR, Brazil
[4] Uppsala Univ, Dept Elect Engn, Div Elect, Uppsala, Sweden
关键词
Microgrid; Storage system; Distributed generation; Control-hardware-in-the-loop; Active network distributed; ACTIVE DISTRIBUTION NETWORKS; POWER; SMART; MODEL; HEAT;
D O I
10.1016/j.epsr.2023.109683
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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 Parana, 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.
引用
收藏
页数:13
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