Optimal Modeling for Dynamic Response of Energy Storage Systems

Author:

Lee Chen-Cheng1,Hsin Yu-Min2ORCID,Dai Shang-Chun1,Kuo Cheng-Chien1ORCID

Affiliation:

1. Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan

2. Graduate Institute of Energy and Sustainability Technology, National Taiwan University of Science and Technology, Taipei 10607, Taiwan

Abstract

Using energy storage systems with solar and wind energy can overcome the intermittence of these types of renewable energy. According to the regulations made by the utilities in each country, facilities that are connected to the power grid should be assessed on how they influence the power grid. Power system simulation software such as PSS/E, DIgSILENT, and DSATools are widely used by utilities. The default models in these kinds of software are defined by the Western Electricity Coordinating Council (WECC). Improper parameters will produce estimation results that are not informative, and the utilities may make wrong decisions. To avoid this problem, this study designed the process to find suitable parameters for real energy storage systems. Using models created by the WECC and reducing it according to the application condition decreased the burden of the optimization process. We used two algorithms and their improved versions to search for an appropriate value of variables that can represent a real energy storage system. We also compared the results between the BESS simplified model that we built and the original model from PSS/E.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference23 articles.

1. (2021, June 02). International Renewable Energy Development Trends and Policies. Available online: https://www.re.org.tw/knowledge/more.aspx?cid=201&id=3966.

2. Taipower Company Renewable Energy Power Generation System Parallel Technology Guidelines, Taipower Company.

3. Sparacino, A.R., Reed, G.F., Kerestes, R.J., Grainger, B.M., and Smith, Z.T. (2012, January 22–26). Survey of battery energy storage systems and modeling techniques. Proceedings of the 2012 IEEE Power and Energy Society General Meeting, San Diego, CA, USA.

4. Application and modeling of battery energy storage in power systems;Xu;CSEE J. Power Energy Syst.,2016

5. Modeling and validation of battery energy storage systems using simple generic models for power system stability studies;Pourbeik;Cigre Sci. Eng.,2017

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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