Development of a PHIL Real-Time Simulation Testbed for Optimization of Hybrid Power Plant Generation

Author:

Wenner JacobORCID,Wagner Michael J.ORCID,Bates BenORCID

Abstract

Future electrical grids will likely include a diverse group of power generation plants. With the growing list of new generation options comes many opportunities for more optimal energy production management and effective resource utilization. Microgrids are an ideal environment for research, development, and validation of those energy optimization strategies. This paper establishes a method for integrating a virtual thermal power plant model with a physical microgrid in a power hardware in the loop testbed. One advantage of these testbeds is their variety of configuration options. In this paper, the combined effects of photovoltaic and concentrating solar power generation are investigated. A conventional thermal power plant with components sized for CSP applications is modeled in the Simscape environment. Actual solar panels provide the photovoltaic element of this experiment. How the plant model and physical hardware interact is described in detail. A PV startup and shutdown event is simulated in real-time. The model responses are shown to be successfully and correctly coupled to electrical power flow in the testbed.

Publisher

TIB Open Publishing

Reference8 articles.

1. E. Ghirardi, G. Brumana, G. Franchini, and A. Perdichizzi, “The optimal share of PV and CSP for highly renewable power systems in the GCC region,” Renewable Energy, vol. 179, pp. 1990–2003, 2021, doi: https://doi.org/10.1016/j.renene.2021.08.005

2. Feldman, David, Vignesh Ramasamy, Ran Fu, Ashwin Ramdas, Jal Desai, and Robert Margolis. 2021. “U.S. Solar Photovoltaic System Cost Benchmark: Q1 2020“. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-77324. https://www.nrel.gov/docs/fy21osti/77324.pdf

3. The MathWorks Inc. version 9.8.0 (R2020a), “MATLAB Simulink and Simscape Toolbox.” Natick, Massachusetts, 2020.

4. Mathworks, “How Simscape Simulation Works.” 2022. Available: https://www.mathworks.com/help/physmod/simscape/ug/how-simscape-simulation-works.html (Accessed: Sep. 13, 2022. [Online])

5. Pourbeik, P. “Dynamic Models for Turbine-Governors in Power System Studies” 2013.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3