Kernel Solver Design of FPGA-Based Real-Time Simulator for Active Distribution Networks

• Main Authors: Zhiying Wang, Fanpeng Zeng, Peng Li, Chengshan Wang, Xiaopeng Fu, Jianzhong Wu
• Format: Article
• Language: English
• Published: IEEE 2018-01-01
• Series: IEEE Access
• Subjects: Real-time simulation; field programmable gate array (FPGA); sparse matrix; LU decomposition; parallel scheduling; active distribution networks (ADN)
• Online Access: https://ieeexplore.ieee.org/document/8369084/
• ISSN: 2169-3536

The field-programmable gate array (FPGA)-based real-time simulator takes advantage of many merits of FPGA, such as small time-step, high simulation precision, rich I/O interface resources, and low cost. The sparse linear equations formed by the node conductance matrix need to be solved repeatedly within each time-step, which introduces great challenges to the performance of the real-time simulator. In this paper, a fine-grained solver of the FPGA-based real-time simulator for active distribution networks is designed to meet the computational demand. The framework of the solver, offline process design on PC and online process design on FPGA are proposed in detail. The modified IEEE 33-node system with photovoltaics is simulated on a 4-FPGA-based real-time simulator. Simulation results are compared with PSCAD/EMTDC under the same conditions to validate the solver design.