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

Haibo Zhao, Yahong Xing, Chengpeng Zhou, Yao Wang, Hui Duan, Kai Liu () and Shigong Jiang
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Haibo Zhao: State Grid Shanxi Electric Power Company, Taiyuan 030001, China
Yahong Xing: State Grid Shanxi Electric Power Company, Taiyuan 030001, China
Chengpeng Zhou: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Yao Wang: State Grid Shanxi Electric Power Company, Taiyuan 030001, China
Hui Duan: State Grid Shanxi Electric Power Company, Taiyuan 030001, China
Kai Liu: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Shigong Jiang: School of Electrical Engineering, Southeast University, Nanjing 210096, China

Energies, 2024, vol. 17, issue 17, 1-22

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.

Keywords: microgrid systems; hybrid systems; mixed logical dynamical model; model predictive control; energy management strategy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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