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FOSS Research Centre for Sustainable Energy, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia 1678, Cyprus
Dr. Minas Patsalides
EPL Technology Frontiers Ltd, 3 Theodosis Pierides St., Dhali, Nicosia 2540, Cyprus
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Smart Solar Energy Systems

Abstract submission deadline
15 June 2024
Manuscript submission deadline
15 November 2024
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Topic Information

Dear Colleagues,

We are inviting submissions for the Topic on “Smart Solar Energy Systems”.

To satisfy energy demand with the maximum quality and reliability of service and simultaneously achieve the minimum economic and environmental costs, the power network is unavoidably experiencing an evolution that entails state-of-the-art decentralized RES and smart systems empowered by computing and information technologies. The growing use of clean energy sources along with the efforts of improving energy efficiency are two essential pillars that are driving the path of power system evolution. Smart solar energy systems can play a significant role in the success of power systems evolution as they embody an important and environmentally friendly technology that is already being incorporated into the electricity mix and can prove to be a decisive factor in reaching the energy transformation in meeting future demand targets. Attempts are underway for improving various aspects related to the operation and design of smart solar energy systems. These aspects concern energy efficiency, cost, power quality, reliability, decentralized operation, ease of installation, compatibility with other power/network technologies, grid integration, hybridization with other energy sources, modularity, system stability, sustainability, neural networks, blockchain ready, internet of things ready, adaptive communication, software-defined networks ready, and much more. The integration of smart solar energy systems into the future power network should continue without obstacles and with the best prospects; therefore, research and development is still required to unveil the full potential and capabilities of the specific power generation technology.

Based on the above, the topics of interest in this Topic may include and not be limited to the following:

  • Power System Planning and Operation in the presence of high concentrations of distributed Solar Energy Systems.
  • Control/Coordination Strategies in managing energy flows to satisfy the energy demand while maintaining good levels of power quality.
  • Establishment of approaches to cope with Disturbances and Events.
  • Protection of Distribution Grids with High Penetrations of Solar Energy Systems.
  • Cybersecurity and Data Protection approaches applying for interconnected power system components.
  • Incorporating energy storage for balancing the energy production/demand.
  • Integration of Solar Energy Systems with other technologies such as Electric Vehicles, Demand Response, etc.
  • Solar energy production forecasting and advanced modelling methods
  • Zero energy buildings/zone with integrated Solar Energy Systems.
  • Business models involving Solar Produced Energy.
  • Preserving continuity of energy generation with on board quality control.

Dr. Venizelos Efthymiou
Dr. Minas Patsalides
Topic Editors

Keywords

  • solar energy systems
  • smart grids
  • energy storage
  • electric vehicles
  • microgrids
  • power quality
  • grid integration
  • demand response
  • digitalized systems

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Clean Technologies
cleantechnol 		3.8 4.5 2019 26.6 Days CHF 1600 Submit
Energies
energies 		3.2 5.5 2008 16.1 Days CHF 2600 Submit
Materials
materials 		3.4 5.2 2008 13.9 Days CHF 2600 Submit
Solar
solar 		- - 2021 16.9 Days CHF 1000 Submit
Sustainability
sustainability 		3.9 5.8 2009 18.8 Days CHF 2400 Submit

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Published Papers (2 papers)

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30 pages, 6050 KiB  
Article
A Novel Statistical Framework for Optimal Sizing of Grid-Connected Photovoltaic–Battery Systems for Peak Demand Reduction to Flatten Daily Load Profiles
by Reza Nematirad, Anil Pahwa and Balasubramaniam Natarajan
Solar 2024, 4(1), 179-208; https://doi.org/10.3390/solar4010008 - 14 Mar 2024
Cited by 1 | Viewed by 1284
Abstract
Integrating photovoltaic (PV) systems plays a pivotal role in the global shift toward renewable energy, offering significant environmental benefits. However, the PV installation should provide financial benefits for the utilities. Considering that the utility companies often incur costs for both energy and peak [...] Read more.
Integrating photovoltaic (PV) systems plays a pivotal role in the global shift toward renewable energy, offering significant environmental benefits. However, the PV installation should provide financial benefits for the utilities. Considering that the utility companies often incur costs for both energy and peak demand, PV installations should aim to reduce both energy and peak demand charges. Although PV systems can reduce energy needs during the day, their effectiveness in reducing peak demand, particularly in the early morning and late evening, is limited, as PV generation is zero or negligible at those times. To address this limitation, battery storage systems are utilized for storing energy during off-peak hours and releasing it during peak times. However, finding the optimal size of PV and the accompanying battery remains a challenge. While valuable optimization models have been developed to determine the optimal size of PV–battery systems, a certain gap remains where peak demand reduction has not been sufficiently addressed in the optimization process. Recognizing this gap, this study proposes a novel statistical model to optimize PV–battery system size for peak demand reduction. The model aims to flatten 95% of daily peak demands up to a certain demand threshold, ensuring consistent energy supply and financial benefit for utility companies. A straightforward and effective search methodology is employed to determine the optimal system sizes. Additionally, the model’s effectiveness is rigorously tested through a modified Monte Carlo simulation coupled with time series clustering to generate various scenarios to assess performance under different conditions. The results indicate that the optimal PV–battery system successfully flattens 95% of daily peak demand with a selected threshold of 2000 kW, yielding a financial benefit of USD 812,648 over 20 years. Full article
(This article belongs to the Topic Smart Solar Energy Systems)
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17 pages, 3174 KiB  
Article
Transient Behavior Analysis of Microgrids in Grid-Connected and Islanded Modes: A Comparative Study of LVRT and HVRT Capabilities
by Abrar Shahriar Pramanik and Saeed Sepasi
Clean Technol. 2023, 5(4), 1287-1303; https://doi.org/10.3390/cleantechnol5040065 - 10 Nov 2023
Cited by 3 | Viewed by 1651
Abstract
Microgrids, with integrated PV systems and nonlinear loads, have grown significantly in popularity in recent years, making the evaluation of their transient behaviors in grid-connected and islanded operations paramount. This study examines a microgrid’s low-voltage ride-through (LVRT) and high-voltage ride-through (HVRT) capabilities in [...] Read more.
Microgrids, with integrated PV systems and nonlinear loads, have grown significantly in popularity in recent years, making the evaluation of their transient behaviors in grid-connected and islanded operations paramount. This study examines a microgrid’s low-voltage ride-through (LVRT) and high-voltage ride-through (HVRT) capabilities in these operational scenarios. The microgrid’s behavior was analyzed using both electromagnetic transient (EMT) and RMS simulation methods. Two operational modes, grid-connected and islanded, were considered. A three-phase diesel generator acted as a reference machine in islanded mode. Findings highlighted distinct behaviors in the two operational modes. The EMT simulation revealed in-depth characteristics of electrical parameters, showing high-frequency oscillations more precisely than the RMS simulation. Additionally, the transient recovery times were longer in islanded mode compared to grid-connected mode. The EMT simulation offers a more detailed portrayal of transient behaviors than the RMS simulation, especially in capturing high-frequency disturbances. However, its completion time becomes significantly extended with longer simulation durations. Microgrids showcase distinct transient behaviors in grid-connected versus islanded modes, especially in LVRT and HVRT scenarios. These findings are critical for the design and operation of modern microgrids. Full article
(This article belongs to the Topic Smart Solar Energy Systems)
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