Optimization and Control of Distributed Energy Systems

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Electromechanical Energy Conversion Systems".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 3796

Special Issue Editors


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Guest Editor
Senior Lecturer, Department of Electrical Engineering, Uppsala University, Uppsala, Sweden
Interests: energy storage; electric vehicles; control systems; renewable energy

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Guest Editor
Department of Electrical Energy, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil
Interests: electrical engineering; power systems; optimization; state estimation; reliability

Special Issue Information

Dear Colleagues,

Electric power generation has been undergoing a major change in the way it is produced, mainly due to the insertion of distributed energy systems, which has increased following reduced investment costs and the greater propagation of technologies.

Despite the benefits arising from the application of distributed energy systems in electrical systems, impacts on the reliability and stability of the electrical system are foreseen, affecting the maintenance of important parameters for the full operation of the network. Thus, for a full integration of the distributed energy systems, improvements in the technologies used in the electrical networks will be necessary.

In this context, the active management and control of distributed energy systems can affect the development of smart and reliable power grids. The optimization and control of these elements may not only help to mitigate the challenges which are foreseen, but also improve the grid functionality in different aspects.

Therefore, this so-called Special Issue invites the submission of recent and novel work relating to the optimization and control of distributed power systems, which describe recent advances in the considering area, including new optimization methods, co-simulation or real-time simulation applied to control in power systems, active network management, microgrid management, supervisory control, among others.

Papers that include practical experimental results are particularly encouraged.

Dr. Janaína Gonçalves De Oliveira
Prof. Dr. Leonardo Willer De Oliveira
Guest Editors

Manuscript Submission Information

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Keywords

  • modeling and analysis
  • control methods for microgrids
  • optimal energy management
  • advanced control approaches
  • real-time implementation
  • communication and control

Published Papers (2 papers)

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Research

21 pages, 12924 KiB  
Article
Sliding Mode Based Load Frequency Control and Power Smoothing of Power Systems with Wind and BESS Penetration
by Zhiwen Deng, Chang Xu, Zhihong Huo, Xingxing Han and Feifei Xue
Machines 2022, 10(12), 1225; https://doi.org/10.3390/machines10121225 - 15 Dec 2022
Cited by 5 | Viewed by 1588
Abstract
This study aims to maintain the frequency stability of the power system penetrated by wind power. Hence, a battery energy storage system (BESS) is applied to smooth the wind power output in power systems and to enhance their load frequency control (LFC) capacity. [...] Read more.
This study aims to maintain the frequency stability of the power system penetrated by wind power. Hence, a battery energy storage system (BESS) is applied to smooth the wind power output in power systems and to enhance their load frequency control (LFC) capacity. A novel comprehensive control framework is proposed for power systems integrated with wind farms and BESS based on an adaptive fuzzy super-twisting sliding mode control (AF-SSMC) method. Firstly, the sliding functions and control laws of subsystems are designed according to different relative degrees. Then, the super-twisting algorithm is applied to suppress the chattering of the sliding mode control law. Furthermore, an adaptive fuzzy control method is used to adjust the control gains online for better control performance of the controllers. The Lyapunov stability theory is employed to prove the asymptotic stability of the subsystems. The model of an interconnected thermal power system with wind and BESS penetration is also constructed for simulation analyses. The results indicate that the AF-SSMC method effectively reduces the chattering, and the proposed framework stabilizes the frequency of the power system under system uncertainties and external disturbances. Moreover, the wind farm and BESS combined system accurately tracks a reference power to reduce wind power fluctuations. Full article
(This article belongs to the Special Issue Optimization and Control of Distributed Energy Systems)
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22 pages, 8876 KiB  
Article
GA-Based Permutation Logic for Grid Integration of Offshore Multi-Source Renewable Parks
by Brenda Rojas-Delgado, Chisom Ekweoba, George Lavidas and Irina Temiz
Machines 2022, 10(12), 1208; https://doi.org/10.3390/machines10121208 - 13 Dec 2022
Viewed by 1638
Abstract
This paper proposes and analyzes a genetic algorithm based permutation control logic applied to the aggregator of an offshore multi-source park. The energy losses at the common coupling point are accounted for in the feedback. This paper focuses on offshore distributed energy resources, [...] Read more.
This paper proposes and analyzes a genetic algorithm based permutation control logic applied to the aggregator of an offshore multi-source park. The energy losses at the common coupling point are accounted for in the feedback. This paper focuses on offshore distributed energy resources, such as floating photovoltaic (PV), wind, and wave power. The main contributions of this research are the development of a control system that is capable of tracking the set-point imposed by the demand curve for each source individually, the introduction of a capacity factor for combined offshore floating PV/wind/wave power farms, and the unveiling of pure offshore renewable sources as potential storage-less flexibility service providers. The results of a case study for a site near San Francisco showed that energy losses and capacity factors are positively influenced by implementing the proposed approach. Full article
(This article belongs to the Special Issue Optimization and Control of Distributed Energy Systems)
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