scholarly journals DC-bus energy management of a converter-interfaced renewable energy source comprising an energy storage system

2021 ◽  
Author(s):  
Francisco Jesús Matas-Díaz ◽  
Umer Mushtaq ◽  
Andrei Mihai Gross ◽  
Alvaro Rodríguez del Noza ◽  
Milos Cvetkovic ◽  
...  
Keyword(s):  
Energy Source ◽  
Renewable Energy Source ◽  
Renewable Energy ◽  
Energy Storage ◽  
Energy Management ◽  
Storage System ◽  
Energy Storage System ◽  
Ancillary Services ◽  
Voltage Source ◽  
Dc Bus

The increasing penetration of renewable energy sources is strongly linked to the development of voltage source converters used in their connection to the grid. As a result, in the near future of an inverter-dominated power system it will be a requirement for renewable generation to provide ancillary services in order to compensate for the absence of synchronous generation. In this scenario, the use of energy storage systems along with advanced control algorithms mimicking the dynamic behaviour of the traditional generators will be of utmost importance. This paper deals with a renewable energy source interfaced with a voltage source converter and comprising an energy storage system in the DC bus. Particularly, a new energy management algorithm for the DC-bus based on a three levels hierarchical control is proposed, which is able to simultaneously provide ancillary services, maintain the state of charge of the storage system within the permissible limits and use it to control the DC bus voltage. The control strategy is validated experimentally using a prototype with results evidencing a reliable and stable operation.

scholarly journals DC-bus energy management of a converter-interfaced renewable energy source comprising an energy storage system

2021 ◽  
Author(s):  
Francisco Jesús Matas-Díaz ◽  
Umer Mushtaq ◽  
Andrei Mihai Gross ◽  
Alvaro Rodríguez del Noza ◽  
Milos Cvetkovic ◽  
...  
Keyword(s):  
Energy Source ◽  
Renewable Energy Source ◽  
Renewable Energy ◽  
Energy Storage ◽  
Energy Management ◽  
Storage System ◽  
Energy Storage System ◽  
Ancillary Services ◽  
Voltage Source ◽  
Dc Bus

The increasing penetration of renewable energy sources is strongly linked to the development of voltage source converters used in their connection to the grid. As a result, in the near future of an inverter-dominated power system it will be a requirement for renewable generation to provide ancillary services in order to compensate for the absence of synchronous generation. In this scenario, the use of energy storage systems along with advanced control algorithms mimicking the dynamic behaviour of the traditional generators will be of utmost importance. This paper deals with a renewable energy source interfaced with a voltage source converter and comprising an energy storage system in the DC bus. Particularly, a new energy management algorithm for the DC-bus based on a three levels hierarchical control is proposed, which is able to simultaneously provide ancillary services, maintain the state of charge of the storage system within the permissible limits and use it to control the DC bus voltage. The control strategy is validated experimentally using a prototype with results evidencing a reliable and stable operation.

scholarly journals DC-bus energy management of a converter-interfaced renewable energy source comprising an energy storage system

2021 ◽  
Author(s):  
Francisco Jesus Matas-Diaz ◽  
Umer Mushtaq ◽  
Andrei Mihai Gross ◽  
Alvaro Rodriguez del Nozal ◽  
Milos Cvetkovic ◽  
...  
Keyword(s):  
Energy Source ◽  
Renewable Energy Source ◽  
Renewable Energy ◽  
Energy Storage ◽  
Energy Management ◽  
Storage System ◽  
Energy Storage System ◽  
Dc Bus

scholarly journals Investigation on Sizing of Voltage Source for a Battery Energy Storage System in Microgrid With Renewable Energy Sources

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 188861-188874 ◽  
Author(s):  
Swaminathan Ganesan ◽  
Umashankar Subramaniam ◽  
Ajit A. Ghodke ◽  
Rajvikram Madurai Elavarasan ◽  
Kannadasan Raju ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Voltage Source ◽  
Energy Sources ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Battery Energy

scholarly journals Predictive energy management and control for renewable energy plus battery energy storage systems

2021 ◽  
Author(s):  
Irtaza Mohammad Syed
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Energy Management ◽  
Supply And Demand ◽  
Storage System ◽  
Energy Storage System ◽  
Forecast Errors ◽  
Battery Energy Storage ◽  
Battery Energy ◽  
And Control

Renewable energy (RE) is one of the solutions to rising energy demands and growing environmental concerns. However, due to the intrinsic intermittency of RE resources, generated power is irregular and the supplied energy is intermittent. Intermittency renders RE systems non-dispatchable and can cause energy surplus and shortage. RE surplus can translate into curtailment and shortage can cause supply and demand issues. Curtailment wastes RE and supply and demand issues result in loss of load compromising service quality and system reliability. Battery energy storage system (BESS) is the widely accepted solution to mitigate the negative impacts of intermittency. However, this solution has relied on the conventional energy management and control (EMC) techniques that: 1) cause curtailment, 2) cause supply and demand issues, 3) cannot exploit BESS potential, 4) use RE passively (if and when available), and (5) are suitable only for readily dispatchable generation systems. This work proposes predictive EMC (PEMC) over conventional EMC (CEMC) to predictively perform EMC of RE systems (photovoltaic (PV) and wind) plus BESS (RE-BESS). PEMC predictively optimizes resources, makes control decisions and manages RE system operations based on the present and future (forecasted) load (or commitments) and RE potential over 24 hours horizon. PEMC 1) minimizes curtailment (maximize RE proportions), 2) minimizes supply and demand issues, 3) exploits BESS potential, 4) uses RE proactively (instead of operating on the mercy of weather), 5) compensates for forecast errors, and 6) maximizes savings (or revenue).

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