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Operational strategy optimization of a hybrid green power system based on fuzzy logic controller with considering for optimal sizing and analysis of different priorities for energy storage

Zahedi, R ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1016/j.segan.2022.100809
  3. Publisher: Elsevier Ltd , 2022
  4. Abstract:
  5. Renewable energy (RE) as a new player in the generation sector of power systems imposes new challenges to the system operators. The intermittent nature of REs for systems where are autonomous calls for new operational and planning strategies to reach more efficient power management. An autonomous hybrid green power system (HGPS) should be able to meet the load while keeping the cost of the HGPS as low as possible. Many studies have presented different un-optimal and optimal operational strategies, a few of which were optimally sized. In this regard, this paper develops a new thorough framework for designing and optimizing an autonomous HGPS. To reach this goal, the proposed model (a) develops a prioritized logic controller and determines optimal sizes of wind turbines (WT), photovoltaic (PV) panels, batteries, electrolyzers, and fuel cells by investigating the different hybrids of RE sources and analyzing short-term and long-term energy storage priorities, (b) chooses an operational strategy by employing a fuzzy logic controller with optimized membership functions. The reliability of the framework is ensured by the loss of power supply probability index. This framework is implemented on a test system, and the results determine that the WT-PV panels-based HGPS with priority for long-term energy storage achieves 55% cost reduction in comparison with WT-based HGPS, while maintaining the loss of power supply probability under 5%. Also, the mean value of the stored charge of the BTs and energy of the hydrogen tank increases 16% and 5% in comparison with un-optimized FLC. © 2022 Elsevier Ltd
  6. Keywords:
  7. Energy storage ; Fuzzy logic controller ; Hybrid energy system ; Optimal operational strategy ; Optimal sizing ; Computer circuits ; Controllers ; Fuel cells ; Fuel storage ; Fuzzy logic ; Membership functions ; Renewable energy resources ; Solar power generation ; Fuzzy logic controllers ; Green Power System ; Loss of power supply probability ; Operational strategies ; Optimal analysis ; Optimal sizing ; Photovoltaic panels ; Strategy optimization ; Cost reduction
  8. Source: Sustainable Energy, Grids and Networks ; Volume 32 , 2022 ; 23524677 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S2352467722001072