scholarly journals Robust Resonant Controllers for Distributed Energy Resources in Microgrids

2020 ◽  
Vol 10 (24) ◽  
pp. 8905
Author(s):  
Allal El Moubarek Bouzid ◽  
Mohamed Zerrougui ◽  
Seifeddine Ben Elghali ◽  
Karim Beddiar ◽  
Mohamed Benbouzid

Motivated by the problem of different types and variations of load in micro-grids, this paper presents robust proportional-resonant controllers with a harmonics compensator based on the internal model principle. These controllers ensure robust tracking of sinusoidal reference signals in distributed energy resource systems subject to load variation with respect to sinusoidal disturbances. The distributed generation resource and the resonant controllers are described using the augmented state system approach, allowing the application of the state feedback technique. In order to minimize the tracking error and ensure robustness against perturbation, a set of linear matrix inequalities (LMIs) are addressed for the synthesizing of controller gains. Finally, results obtained in the simulation for resonant compensators with the distributed energy system are presented, in which the controller is applied to the CC-CA inverter.

Proceedings ◽  
2020 ◽  
Vol 58 (1) ◽  
pp. 15
Author(s):  
Viviane T. Nascimento ◽  
Patrícia Albuquerque Gimenes ◽  
Miguel E. Morales Udaeta ◽  
André L. Veiga Gimenes

The objective of this work is to develop a framework related to energy storage systems implementation. The work focuses on a Brazilian scenario and applies information regarding demographic changes, economic, governmental and energy resources studies to establish the opportunities and barriers for a battery deployment in the country. This information is classified into organization, technology, and standards fronts, enabling to schedule the human resources and deal with possible gaps. Besides this, the framework organizes the information to enable a constant review of work fronts and activities, as the implementation scenario changes, and new stakeholders are added. A use case regarding an implementation of a multisource energy system composed by different sources and a battery allows to verify the proposed framework viability. As a result, it is expected that the framework enables medium-sized energy consumers to implement a similar infrastructure, reducing risks and gaps and maximizing the opportunities regarding a battery deployment.


2021 ◽  
Author(s):  
Danilo Yu

This project introduces a modeling software that manages the power flow of a grid-connected distributed energy system on a daily basis. The system uses a control strategy that prioritizes the use of renewable energy sources over storage devices and conventional sources. Wind turbines and PV arrays are the primary sources of energy. Battery bank is used as the permanent storage device and small natural gas generators and the grid are the conventional sources. The software can manage the power flow of electric vehicles as mobile storage units. The power optimization algorithm monitors the power available from each energy source, analyzes and combines their outputs to meet the load demand. Output of the energy sources are analyzed using 15-minute time series simulations. The computer model was developed using MATLAB with a graphical user interface for easy setup, operation and analysis of the results.


Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 645
Author(s):  
Jihun Jung ◽  
Keon Baek ◽  
Eunjung Lee ◽  
Woong Ko ◽  
Jinho Kim

Various incentive schemes are being implemented to improve the economic return of distributed energy resources (DERs). Accordingly, research on the optimal capacity design and operations of photovoltaic (PV) power generation and energy storage systems (ESSs) is important to ensure the economic efficiency of DERs. This study presents the models of optimal capacity and facility operation methods based on long-term operational changes of DERs in a building with self-consumption. Key policy variables are derived for a renewable energy system. We first analyzed the operating environments of the DERs according to the basic types of PVs and ESSs, and by examining the detailed benefit structure of a special rate for renewable energy. The optimal capacity of PVs and ESSs with the lowest net cost was estimated using various parameters in consideration of long-term operations (~15 years), and by setting rules for a special rate for renewable energy. It was confirmed that the combined use of peak and rate reductions constituted the most economical operational approach. A case study confirmed the economic sensitivity of cost and benefit analyses based on actual load data. Correspondingly, it is inferred that this study will identify core policy variables that can aid decision-making in the long-term perspective.


2021 ◽  
Author(s):  
Danilo Yu

This project introduces a modeling software that manages the power flow of a grid-connected distributed energy system on a daily basis. The system uses a control strategy that prioritizes the use of renewable energy sources over storage devices and conventional sources. Wind turbines and PV arrays are the primary sources of energy. Battery bank is used as the permanent storage device and small natural gas generators and the grid are the conventional sources. The software can manage the power flow of electric vehicles as mobile storage units. The power optimization algorithm monitors the power available from each energy source, analyzes and combines their outputs to meet the load demand. Output of the energy sources are analyzed using 15-minute time series simulations. The computer model was developed using MATLAB with a graphical user interface for easy setup, operation and analysis of the results.


2019 ◽  
Author(s):  
Kelsey A Horowitz ◽  
Zachary Peterson ◽  
Michael H Coddington ◽  
Fei Ding ◽  
Benjamin O Sigrin ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2773
Author(s):  
Petros Siritoglou ◽  
Giovanna Oriti ◽  
Douglas L. Van Bossuyt

This paper presents a user-friendly design method for accurately sizing the distributed energy resources of a stand-alone microgrid to meet the critical load demands of a military, commercial, industrial, or residential facility when utility power is not available. The microgrid combines renewable resources such as photovoltaics (PV) with an energy-storage system to increase energy security for facilities with critical loads. The design method’s novelty complies with IEEE Standards 1562 and 1013, and addresses resilience, which is not taken into account in existing design methods. Several case studies simulated with a physics-based model validate the proposed design method and demonstrate how resilience can be included in the design process. Additionally, the design and the simulations were validated by 24 h laboratory experiments conducted on a microgrid assembled using commercial off-the-shelf components.


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