Self-Tuning Virtual Synchronous Machine: A Control Strategy for Energy Storage Systems to Support Dynamic Frequency Control

2014 ◽  
Vol 29 (4) ◽  
pp. 833-840 ◽  
Author(s):  
Miguel A. Torres L. ◽  
Luiz A. C. Lopes ◽  
Luis A. Moran T. ◽  
Jose R. Espinoza C.
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Storage Systems ◽  
Frequency Control ◽  
Synchronous Machine ◽  
Energy Storage Systems ◽  
Self Tuning ◽  
Virtual Synchronous Machine ◽  
Dynamic Frequency

An Exponential Droop Control Strategy for Distributed Energy Storage Systems Integrated with Photovoltaics

2020 ◽  
pp. 1-1
Author(s):  
Angelos I. Nousdilis ◽  
Georgios C. Kryonidis ◽  
Eleftherios O. Kontis ◽  
Georgios Christos Christoforidis ◽  
Grigoris K. Papagiannis
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Storage Systems ◽  
Droop Control ◽  
Distributed Energy ◽  
Energy Storage Systems ◽  
Distributed Energy Storage

scholarly journals Novel Control Strategy for Enhancing Microgrid Operation Connected to Photovoltaic Generation and Energy Storage Systems

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1261
Author(s):  
Dina Emara ◽  
Mohamed Ezzat ◽  
Almoataz Y. Abdelaziz ◽  
Karar Mahmoud ◽  
Matti Lehtonen ◽  
...  
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Voltage Stability ◽  
Storage Systems ◽  
Voltage Source ◽  
Stable Operation ◽  
Energy Storage Systems ◽  
Dc Microgrid ◽  
Photovoltaic Generation ◽  
Dc Voltage

Recently, the penetration of energy storage systems and photovoltaics has been significantly expanded worldwide. In this regard, this paper presents the enhanced operation and control of DC microgrid systems, which are based on photovoltaic modules, battery storage systems, and DC load. DC–DC and DC–AC converters are coordinated and controlled to achieve DC voltage stability in the microgrid. To achieve such an ambitious target, the system is widely operated in two different modes: stand-alone and grid-connected modes. The novel control strategy enables maximum power generation from the photovoltaic system across different techniques for operating the microgrid. Six different cases are simulated and analyzed using the MATLAB/Simulink platform while varying irradiance levels and consequently varying photovoltaic generation. The proposed system achieves voltage and power stability at different load demands. It is illustrated that the grid-tied mode of operation regulated by voltage source converter control offers more stability than the islanded mode. In general, the proposed battery converter control introduces a stable operation and regulated DC voltage but with few voltage spikes. The merit of the integrated DC microgrid with batteries is to attain further flexibility and reliability through balancing power demand and generation. The simulation results also show the system can operate properly in normal or abnormal cases, thanks to the proposed control strategy, which can regulate the voltage stability of the DC bus in the microgrid with energy storage systems and photovoltaics.

scholarly journals An Energy-Based Control Strategy for Battery Energy Storage Systems: A Case Study on Microgrid Applications

Energies ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 215 ◽  
Author(s):  
Rui Hou ◽  
Thai-Thanh Nguyen ◽  
Hak-Man Kim ◽  
Huihui Song ◽  
Yanbin Qu
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Storage Systems ◽  
Energy Storage Systems ◽  
Battery Energy Storage ◽  
Battery Energy Storage Systems ◽  
Battery Energy

scholarly journals Microgrid system including PV generation and hybrid backup system

2021 ◽  
Author(s):  
Hooman Samani
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Energy Flow ◽  
Storage Systems ◽  
Photovoltaic Module ◽  
Energy Storage Systems ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Backup System ◽  
Micro Grid

This Master’s thesis project introduces a micro-grid system that includes a hybrid power storage backup system and photovoltaic module power generation system, which is connected to the grid and supports the hybrid backup system. The first section presents a solution or algorithm to an existing problem in an energy flow management strategy for the hybrid energy storage system. In the second section, power is provided from the photovoltaic arrays by the convenience of the Maximum Power Point Tracking (MPPT) for each photovoltaic module. The generated power will charge the storage backup system. The micro-grid is capable of selling the surplus power to the utility grid. A master controller optimizes integration, dispatching and control over the whole micro-grid operation. There have been many different control strategies and topologies presented over the years to manage the energy flow for hybrid energy storage systems; however, there are some aspects that differentiate some from others, such as real-time prediction, cumbersome architecture, full spectrum control over recourses, and cost-effectiveness. The first section of this thesis proposes a control strategy on hybrid energy storage systems based on fundamental electrical principles. The low volume and simple algorithm make the controller easy to perform on the embedded systems and quickly responds within a tiny space. The control strategy is equipped with a load prediction method, which provides a fast response at the time of load current surge. The controller architect provides the full control over all the resources. The presented controller is cost-effective by increasing the battery life and by minimizing the power loss in the hybrid storage backup system. The simulation results in two different experiments validate the efficiency and performance of the offered control strategy for hybrid backup system.

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