Research on Hybrid Logic Dynamic Model and Voltage Predictive Control of Photovoltaic Storage System

Author:

Zhao Haibo1,Xing Yahong1,Zhou Chengpeng2,Wang Yao1,Duan Hui1,Liu Kai2,Jiang Shigong2

Affiliation:

1. State Grid Shanxi Electric Power Company, Taiyuan 030001, China

2. School of Electrical Engineering, Southeast University, Nanjing 210096, China

Abstract

This paper investigates microgrid systems characterized by the coexistence of discrete events and continuous events, a typical hybrid system. By selecting the charging and discharging processes of the energy storage unit as logical variables, a mixed logical dynamic (MLD) model for the microgrid in islanded mode is established. Based on this model, model predictive control (MPC) theory is employed to optimize the energy management strategy, aiming to stabilize the DC bus voltage of the photovoltaic (PV) unit and minimize the switching frequency of the energy storage unit’s charging and discharging processes during system operation.

Funder

State Grid Shanxi Electric Power Company

Publisher

MDPI AG

Reference27 articles.

1. Golestani, S., and Tadayon, M. (2011, January 25–27). Distributed generation dispatch optimization by artificial neural network trained by particle swarm optimization algorithm. Proceedings of the 8th International Conference on the European Energy Market, Zagreb, Croatia.

2. Seamless Switching Control Strategy for Distributed Generation Systems;Wang;Trans. China Electrotech. Soc.,2012

3. Power Management Strategies for a Microgrid with Multiple Distributed Generation Units;Katiraei;IEEE Trans. Power Syst.,2006

4. Li, Y.W., and Kao, C. (2009, January 20–24). An accurate power control strategy for inverter based distributed generation units operating in a low voltage microgrid. Proceedings of the Energy Conversion Congress and Exposition, San Jose, CA, USA.

5. Discussion on Distribution Network Connection Modes with Microgrids;Miao;Proc. CSEE,2012

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