scholarly journals Dispatching of Wind/Battery Energy Storage Hybrid Systems Using Inner Point Method-Based Model Predictive Control

Energies ◽  
2016 ◽  
Vol 9 (8) ◽  
pp. 629 ◽  
Author(s):  
Deyou Yang ◽  
Jiaxin Wen ◽  
Ka-wing Chan ◽  
Guowei Cai
Keyword(s):  
Energy Storage ◽  
Model Predictive Control ◽  
Hybrid Systems ◽  
Predictive Control ◽  
Point Method ◽  
Battery Energy Storage ◽  
Battery Energy

scholarly journals Disturbance-Observer-Based Model Predictive Control for Battery Energy Storage System Modular Multilevel Converters

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2285 ◽  
Author(s):  
Yantao Liao ◽  
Jun You ◽  
Jun Yang ◽  
Zuo Wang ◽  
Long Jin
Keyword(s):  
Energy Storage ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Current Control ◽  
Multilevel Converters ◽  
Battery Energy Storage ◽  
Circulating Current ◽  
Modular Multilevel Converters ◽  
Ac Current ◽  
Battery Energy

Although the traditional model predictive control (MPC) can theoretically provide AC current and circulating current control for modular multilevel converters (MMCs) in battery energy storage grid-connected systems, it suffers from stability problems due to the power quality of the power grid and model parameter mismatches. A two discrete-time disturbance observers (DOBs)-based MPC strategy is investigated in this paper to solve this problem. The first DOB is used to improve the AC current quality and the second enhances the stability of the circulating current control. The distortion and fluctuation of grid voltage and inductance parameter variation are considered as lump disturbances in the discrete modeling of a MMC. Based on the proposed method, the output prediction is compensated by disturbance estimation to correct the AC current and circulating current errors, which eventually achieve the expected tracking performance. Moreover, the DOBs have a quite low computational cost with minimum order and optimal performance properties. Since the designed DOBs work in parallel with the MPC, the control effect is improved greatly under harmonics, 3-phase unbalance, voltage sag, inductance parameter mismatches and power reversal conditions. Simulation results confirm the validity of the proposed scheme.

Multi-Objective Dispatch of a Microgrid with Battery Energy Storage System Based on Model Predictive Control

2014 ◽  
Vol 1070-1072 ◽  
pp. 1384-1390
Author(s):  
Yan Zhang ◽  
Tao Zhang ◽  
Bo Guo ◽  
Yong Chao Cai
Keyword(s):  
Energy Storage ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Storage System ◽  
Energy Storage System ◽  
Multi Objective Optimization ◽  
Battery Energy Storage ◽  
Multi Objective ◽  
Interesting Approach ◽  
Battery Energy

Microgrid has been considered as a new green and reliable power system technique, especially for remote regions. In recent years, there is a steady increasing in studying optimal microgrid deploying and operation strategies. Multi-objective optimization is the most interesting approach for resolving these issues. The multi-objective optimization includes energy operation cost and emission pollutant cost. Potential benefits of using model predictive control (MPC) strategy for multi-objective dispatch problem in microgrid with fluctuant energy resources, such as solar, wind and alike are also presented by comparing with the strategy of day-ahead programming strategy and normal strategy with no battery energy storage. Simulation results show that the proposed model in this paper could reflect the actual characteristics of microgrid more precisely.

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