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Signal Processing and Renewable Energy - Volume:6 Issue: 4, Autumn 2022

Signal Processing and Renewable Energy
Volume:6 Issue: 4, Autumn 2022

  • تاریخ انتشار: 1401/11/08
  • تعداد عناوین: 6
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  • Sepideh Ebrahimi *, Ferdows Zarrabi Pages 1-12
    In this paper, a Plasmonic arc-shaped nanoantenna is modeled and developed for light trapping and energy enhancement with the multi-Fano response for the mid-infrared spectra in the range of 2000-6000 μm. A symmetric model is suggested to achieve Fano line-shapes and make a hot spot to increase the electric field intensity. Fano response is gained by adding inner parasitic arc elements to the primary Plasmonic ring antenna. Then, the triple jounced ring structure is utilized to improve the electric field intensity. The final nanoantenna depicts that we can improve the electric field with this current nanoantenna with multi-Fano characteristics in comparison to the single Fano response. The maximum electric field efficiency is obtained 450 times which shows more than 300% enhancement in comparison to a simple ring nanoantenna. The efficiency of 650 times obtained with slant polarization.  The sensitivity of the external biological material is checked for the single and multi-Fano elements. The maximum value of sensitivity for the final nanoantenna is 1458 nm/RIU. The multi-Fano has advantages for trapping energy in wider bandwidth and limiting the energy losses in the Plasmonic and Fano resonance.
    Keywords: Biosensing, Energy harvesting, Fano, Heptamers, Plasmonic
  • AliAsghar Baziar, Taher Niknam *, Mohsen Simab Pages 13-46

    This paper presents the optimal participation of strategic electricity and gas producers (SEPs and SGPs) in the coupled electricity and gas market of the day-ahead (DA) reserve regulation and energy type in accordance with the Energy Management Strategy (EMS). The deterministic model of this scheme has two bi-level problems, which refer to modelling of the participation of SEPs/SGPs in the DA energy and reserve markets. In any bi-level problem, the upper-level formulation minimizes the difference between the cost and revenue of SEPs or SGPs in these markets subjected to the operational model of these producers. In the lower-level formulation, the market clearing price (MCP) model is expressed in the problem such that the minimization of the energy cost of non-SEPs / non-SGPs are subjected to the electrical / gas network, electricity / gas generation units, and the reserve requirements model. In this scheme, load, renewable generation power, and reserve demand are uncertain. Hence, this paper proposes the robust modelling to achieve an optimal point in the worst-case scenario. Furthermore, the master-slave decomposition (MSD) method is suggested to reach the optimal solution at a low calculation time. Finally, the proposed scheme is simulated on the standard test system. The numerical results confirm its capability to achieve benefits for SEPs / SGPs along with the extraction of economic operation for energy networks.

    Keywords: Coupled electricity, gas market, Energy, reserve market, Energy management strategy, Flexi-renewable energy resources, Strategic producers
  • AliAkbar Kekha Javan, Assef Zare *, Saeed Balochian Pages 47-72

    In this study, a safety mechanism is used for the transmission of medical data with disturbance and unknown parameters and unknown time delays using a new communication method. A new synchronization method for Fractional Order Systems (FOCS) for encryption of medical images based on the Coullete system with unknown time delay is proposed. In the proposed method, the control laws are determined using the Lyapunov stability theorem such that the convergence of the synchronization error to zero is guaranteed. In this study, multiple state synchronization is performed in the presence of disturbance and unknown time delay. The control laws are determined using the Lyapunov function such that the synchronization and estimation errors converge to zero. For medical color images encryption, we use the fractional-order chaotic synchronization system alongside the chaos masking technique.  To test the efficiency of the proposed method in medical image transmission, various statistical parameters such as histogram, correlation, number of pixel change rate (NPCR), signal to peak noise ratio (PSNR), and information entropy are calculated. According to the values obtained for Entropy=7.8596, Correlation=0.9999, etc., the results show successfully encrypts the medical color images.

    Keywords: Internet of Medical Things, Encryption Medical Images, Fractional-order chaotic system, Lyapunov Stability
  • Javad Estakhr, Mohsen Simab * Pages 73-94
    In this paper, the Forward-Backward (FB) strategy has been developed to solve the load flow (LF) problem of a large-scale multi-carrier network. The Teaching–Learning-Based Optimization (TLBO), as a powerful heuristic tool, has been used for the optimization of the proposed LF. For this purpose, a large-scale unbalanced multi-carrier energy system (MCES) including an IEEE 33-bus system, a natural gas network with 25 nodes, and a heat network with 20 nodes have been considered to ascertain the applicability of the proposed FB-based machine learning strategy. By minimizing an objective function of the MCES system under unequal constraints, the TLBO tries to solve the optimization problem of MCES. The unbalanced current and voltage performance of the MCES system has been investigated by employing the current unbalance index (CUI) and voltage unbalance index (VUI). The numerical analysis with the application of the current unbalance index and voltage unbalance index has been studied to appraise the efficiency of the proposed optimal strategy to solve the LF problem of the MCES system.
    Keywords: Forward-Backward (FB), Multi-Carrier Energy System (MCES), Teaching–Learning-Based Optimization (TLBO), Current Unbalance Index (CUI)
  • Mahdi Sharifi, Homa Movahednejad, MohammadReza Yousefi *, Ghazanfar Shahgholian Pages 95-107

    The load of consumer demand is constantly changing. Therefore, controlling the generating units is the first issue for designing the power systems. In this paper, the steam generation unit and hydraulic generation unit are studied and simulated. The steam turbine has a re-heater and the hydraulic turbine has a transient droop compensation. The linearized math-ematical models of the first-order system of two generating units are expressed in the state space. The transient dynamic behavior of two generating units is investigated and com-pared with small changes in load demand. Also, the transfer function of the ratio of fre-quency deviation which changes with the changes in the load demand is shown for each unit. MATLAB software is used for simulation.

    Keywords: Generating units, steam turbine, Hydro Turbine, state space
  • Ahmad Moradi, Mahmoud Modaresi *, Parsa Servati Pages 109-123
    Distributed generation resources are used to upgrade older power systems to  more efficient systems. Although distributed generation resources have numerous benefits, they can cause protection problems due to multiple configurations. Fault current limiters (FCLs) are used to reduce short circuit current in the network. A change in short-circuit current can cause a change in the protection system settings. In this paper, using the genetic algorithm, the optimal size and location of distributed generation in the power network with the presence of FCL and without it according to the protection settings of the system have been studied. The results of this study were performed on the 33-bus IEEE network.
    Keywords: locating, dg, FCL, Power system protection, overcurrent relay