Systematic Modelling and Controller Designing of Hybrid Power System

Meng, Xiangzhong; Yue, Yaobin; Jiang, Changjun

doi:10.1109/wcica.2006.1713273

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Though the hybrid power systems are most preferable in recent electrification, it owns problems in implementation and hence requires an adaptable supervisory controller which interacts with the electrical grid and each component analysis is done in this paper [25]. An integrated hybrid Petri nets (HPN) and hybrid automata (HA) is being employed to model the whole system and to design the controller here [26]. A more advanced three layer neural network optimization controller with feedback improves the closed loop performance of the whole system and weights are updated by means of genetic algorithms is discussed in [27].…”

Section: Modeling Techniquesmentioning

confidence: 99%

Analysis on renewable energy systems

Jebaselvi

Paramasivam²

2013

Renewable and Sustainable Energy Reviews

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Section: Modeling Techniquesmentioning

confidence: 99%

Analysis on renewable energy systems

Jebaselvi

Paramasivam²

2013

Renewable and Sustainable Energy Reviews

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“…Hybrid systems are composed of discrete event dynamic systems and continuous time dynamic systems, which interact with each other [6][7][8]. In recent years, hybrid theory is applied in power electronic systems, increasingly.…”

Section: Introductionmentioning

confidence: 99%

Model predictive control of Microgrid based on Mixed Logic Dynamic

Jiang

Liu

Wang

2014

Proceeding of the 11th World Congress on Intelligent Control and Automation

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By analyzing the hybrid property of Microgrid in detail, a mixed logical dynamical model is set up with Hybrid theory. The energy in DC bus capacitor is chosen as state variable, the system functions and constraints with continuous state variables, input control variables, logical variables and auxiliary variables are presented. Based on the MLD model, model predictive control theory is applied for the purpose of reducing the batteries switching times between charge and discharge, the DC bus voltage fluctuation is compressed simultaneously. The quadric form objective function is designed and optimal input control variable sequence is achieved by mixed integer quadratic programming method. A simulation prototype is established, simulation results testify the proposed method can both suppress DC bus voltage fluctuation and decrease switching times of battery energy storage system. Index Terms -Microgrid; Hybrid theory; mixed logical dynamical model; model predictive control

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