Frequency response models and control in smart power systems with high penetration of renewable energy sources

2021 ◽  
Vol 96 ◽  
pp. 107477
Author(s):  
Hassan Haes Alhelou ◽  
Mohamad Esmail Hamedani Golshan ◽  
Pierluigi Siano
2020 ◽  
Vol 43 (3) ◽  
pp. 19-23
Author(s):  
Mahmoud El-Shennawy ◽  
Souliman Farghal ◽  
Abd elrahman Amin ◽  
Sobhy Abdelkader

Author(s):  
Heliasadat Hosseinian ◽  
Hossein Shahinzadeh ◽  
Gevork B. Gharehpetian ◽  
Zohreh Azani ◽  
Mahdi Shaneh

Nowadays, unlike depleting fossil fuel resources, the integration of different types of renewable energy, as distributed generation sources, into power systems is accelerated and the technological development in this area is evolving at a frantic pace. Thus, inappropriate use of them will be irrecoverably detrimental. The power industry will reach a turning point in the pervasiveness of these infinite energy sources by three factors. Climate changes due to greenhouse gas accumulation in the atmosphere; increased demand for energy consumption all over the world, especially after the genesis of Bitcoin and base cryptocurrencies; and establishing a comprehensive perspective for the future of renewable energy. The increase in the pervasiveness of renewable energy sources in small-scale brings up new challenges for the power system operators to manage an abundant number of small-scale generation sources, called microsources. The current structure of banking systems is unable to handle such massive and high-frequency transactions. Thus the incorporation of cryptocurrencies is inevitable. In addition, by utilization of IoT-enabled devices, a large body of data will be produced must be securely transferred, stored, processed, and managed in order to boost the observability, controllability, and the level of autonomy of the smart power systems. Then the appropriate controlling measures must be performed through control signals in order to serve the loads in a stable, uninterruptible, reliable, and secure way. The data acquires from IoT devices must be analyzed using artificial intelligence methods such as big data techniques, data mining, machine learning, etc. with a scant delay or almost real-time. These measures are the controversial issues of modern power systems, which are yet a matter of debate. This study delves into the aforementioned challenges and opportunities, and the corresponding solutions for the incorporation of IoT and blockchain in power systems, particularly in the distribution level and residential section, are addressed. In the last section, the role of IoT in smart buildings and smart homes, especially for energy hubs schemes and the management of residential electric vehicle supply equipment is concisely discussed.


Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 588
Author(s):  
Jesus C. Hernández

The use of renewable energy sources (RESs) is a need of global society. This editorial, and its associated Special Issue “Grid-Connected Renewable Energy Sources”, offer a compilation of some of the recent advances in the analysis of current power systems composed after the high penetration of distributed generation (DG) with different RESs. The focus is on both new control configurations and novel methodologies for the optimal placement and sizing of DG. The eleven accepted papers certainly provide a good contribution to control deployments and methodologies for the allocation and sizing of DG.


Sign in / Sign up

Export Citation Format

Share Document