This page has only limited features, please log in for full access.
Project Goal: The project starts with the aim of extending and completing the National WindSeaEnergy (DPI2012-31579) and OptiWindSeaPower (DPI2015-67264-P) projects, where the most important scientific references in high impact journals were analysed, observing that there are great deficiencies in the mathematical models that allow the analysis of the signals that are being monitored to determine the state of the structures, as well as in the optimal management of the wind turbines and wind farms.
Current Stage: http://ingenium.uclm.es/index.php/windseapro-2/
Project Goal: The main ambition of the ENDURUNS project is to develop an integrated hybrid AUV system capable of operating under deep ocean conditions and performing a wide-range of missions, targeting the increase of scientific knowledge as well as industrial capability and performance. Due to its versatile nature, the ENDURUNS system will be suited to perform scientific missions, such as seabed mapping, profiling, geological and geophysical surveys, commercial missions, such as inspection of infrastructure and assets, mineral and seabed mining exploration missions and public authority missions such as surveillance, search and find missions (e.g. aircraft wreckage), equally well. Therefore, the ENDURUNS system will enable for the first time long endurance missions demonstrated up to TRL 5 or above during the project for a wide variety of high impact deep sea applications. The AUV and USV combination are expected to significantly outperform all existing AUV vehicles, in terms of endurance, positioning, survey capability, resolution, sensitivity, etc.
Current Stage: http://ingenium.uclm.es/index.php/enduruns/
Project Goal: The objective of this R&D project, financed by the Ministry of Economy and Competitiveness within the framework of the State Plan for Scientific and Technical Research and Innovation 2013-2016, is the development of an intelligent tool based on monitoring systems embedded in UAVs for the optimization of the operation and maintenance of solar photovoltaic plants."
Current Stage: http://ingenium.uclm.es/index.php/scarab/
Project Goal: "The project starts with the intention of continuing and completing the National WindSeaEnergy project (DPI2012-31579), observing that there is a great lack of mathematical models that allow the analysis of the signals that are being monitored by means of Non Destructive Tests (NDT) to determine the state of the structures, as well as in the optimal management of the structures. wind turbines and wind farms. OptiWindSeaPower has continued and completed this study initiated in the field of the rotating elements of the wind turbine and their maintenance management, making a more exhaustive study."
Current Stage: http://ingenium.uclm.es/index.php/optiwindseapower/
The ability of controlling the temperature of a system by using heat transfer and thermodynamics-based technology is known as thermal management. Thermal management is a crucial problem which is to be addressed in the various fields. This study accompanies a numerical work to provide a solution for heat transfer enhancement by studying a straight rectangular cross-section channel. The selected channel is used with and without disturbance in the form of dimple-protrusion with circular & through geometry. Water is employed as the base fluid for identifying flow behavior and heat carrying capacity while the heat flux is applied as a boundary condition. Furthermore, using the same boundary condition, copper oxide nanoparticles with the concentration of 0.10%, 0.15% and 0.20% respectively are added in the channels. Flow conditions are varied from 100 to 900 considering the laminar regime with fully developed flow. Performance enhancement criteria are evaluated by considering the Nusselt number, friction factor, and base cooling. The fully developed velocity profile is maintained at the inlet of test section for all Reynolds numbers. Semi-Implicit Method for Pressure Linked Equations (SIMPLE) pressure-velocity coupling is used with the second-order upwind scheme for discretization and solution approximation. It is observed that circular dimple-protrusion channel is effective for high Reynolds numbers and through dimple protrusion is efficient for intermediate Reynolds numbers. 10% improvement in Nusselt number is observed for circular dimple-protrusion channel with 0.2% CuO concentration by comparing the results of dimple-protrusion channel with straight channel at same nanoparticle concentration. Compared to straight channel with 0% and 6% particles concentration 5% and 7% increase in Stanton number is observed for through disruption case. Dimple channel on the other hand showed 3% and 5% increase. Furthermore, the formation of vortices at high Reynolds number is observed in circular dimple-protrusion channel.
Muhammad Zia Ullah Khan; Bilal Akbar; Ramisha Sajjad; Umair Ahmed Rajput; Sanaullah Mastoi; Emad Uddin; Azhar Hussain; Yamin Younis; Fausto Pedro García Márquez; Naveed Akram. Investigation of heat transfer in dimple-protrusion micro-channel heat sinks using copper oxide nano-additives. Case Studies in Thermal Engineering 2021, 28, 101374 .
AMA StyleMuhammad Zia Ullah Khan, Bilal Akbar, Ramisha Sajjad, Umair Ahmed Rajput, Sanaullah Mastoi, Emad Uddin, Azhar Hussain, Yamin Younis, Fausto Pedro García Márquez, Naveed Akram. Investigation of heat transfer in dimple-protrusion micro-channel heat sinks using copper oxide nano-additives. Case Studies in Thermal Engineering. 2021; 28 ():101374.
Chicago/Turabian StyleMuhammad Zia Ullah Khan; Bilal Akbar; Ramisha Sajjad; Umair Ahmed Rajput; Sanaullah Mastoi; Emad Uddin; Azhar Hussain; Yamin Younis; Fausto Pedro García Márquez; Naveed Akram. 2021. "Investigation of heat transfer in dimple-protrusion micro-channel heat sinks using copper oxide nano-additives." Case Studies in Thermal Engineering 28, no. : 101374.
Oceans are areas on our planet which remain largely unexplored. This is mainly due to the considerable challenges involved in underwater exploration. So far the majority of surveys are carried out using Remotely Operated Vehicles (ROVs) and Automated Unmanned Vehicles (AUVs). These vehicles, despite their impressive capabilities, have several limitations, especially in terms of their operational endurance. Moreover, a very small number of ROVs have been qualified for operations in depths beyond 6 km. The use of ROVs in ocean trenches involves extremely complex operations and is not free of risk. The deepest known point is Challenger Deep at the Mariana Trench in the Pacific Ocean, with a maximum depth of just under 11 km. Only a handful of manned and unmanned missions have managed to reach this depth since Piccard's mission in 1960, on-board the bathyscaphe Trieste. Herewith we report on the finite elements analysis of type I pressure vessels for hydrogen storage to be used in future AUVs with long endurance capability for ultra-deep exploration.
Valter Luiz Jantara Junior; Isaac Segovia Ramirez; Fausto Pedro Garcia Marquez; Mayorkinos Papaelias. Numerical evaluation of type I pressure vessels for ultra-deep ocean trench exploration. Results in Engineering 2021, 11, 100267 .
AMA StyleValter Luiz Jantara Junior, Isaac Segovia Ramirez, Fausto Pedro Garcia Marquez, Mayorkinos Papaelias. Numerical evaluation of type I pressure vessels for ultra-deep ocean trench exploration. Results in Engineering. 2021; 11 ():100267.
Chicago/Turabian StyleValter Luiz Jantara Junior; Isaac Segovia Ramirez; Fausto Pedro Garcia Marquez; Mayorkinos Papaelias. 2021. "Numerical evaluation of type I pressure vessels for ultra-deep ocean trench exploration." Results in Engineering 11, no. : 100267.
Flexible alternating current transmission system (FACTS) controllers are important to enhance the quality of power in power systems. The stability of a system is achieved via a FACTS device (a Static Synchronous Compensator (STATCOM)). This paper aims to control the losses in the transmission system during peak energy demand circumstances with minimal losses in the economical and functional efficiency of the system. The STATCOM operation of a seven level voltage source converter (VSC) with binary-weighted transformers is proposed for controlling the reactive power variations and terminal voltage changes at dynamic circumstances in the transmission system. The STATCOM is operated at 132 kV and is a 50 Hz AC system with a single DC-Link capacitance and two VSC power circuits. Each VSC circuit consists of three H-bridges with specific switching angle control in order to achieve low total harmonic distortion at the fundamental frequency. The coupled control circuit phenomenon is imperative for computing the switching angle for a stable performance. The dynamic functional improvement efficiency is harvested with a minimum number of switches and transformers used in high voltage and high-power applications. The number of switches, transformers, and capacitors for 132 kV are optimized with a proposed STATCOM operation in seven level VSC with binary-weighted transformers. The simulated results prove that the proposed model significantly improved system performance and stability.
L. Narayana Gadupudi; Gudapati Sambasiva Rao; Ramesh Devarapalli; Fausto Pedro García Márquez. Seven Level Voltage Source Converter Based Static Synchronous Compensator with a Constant DC-Link Voltage. Applied Sciences 2021, 11, 7330 .
AMA StyleL. Narayana Gadupudi, Gudapati Sambasiva Rao, Ramesh Devarapalli, Fausto Pedro García Márquez. Seven Level Voltage Source Converter Based Static Synchronous Compensator with a Constant DC-Link Voltage. Applied Sciences. 2021; 11 (16):7330.
Chicago/Turabian StyleL. Narayana Gadupudi; Gudapati Sambasiva Rao; Ramesh Devarapalli; Fausto Pedro García Márquez. 2021. "Seven Level Voltage Source Converter Based Static Synchronous Compensator with a Constant DC-Link Voltage." Applied Sciences 11, no. 16: 7330.
The upsurge in microgrid demand is an important aspect of imparting energy in future primarily because of the involvement of renewable energy sources, which alleviates the emission of toxic gases from fossil fuelled generators. The grid-connected mode of microgrid operation is the most economical and definitive mode of service wherein the grid is actively involved in the buying and selling of power prompting diminished generation cost of microgrid system. These cases, pertaining to two different low voltage microgrid systems, are applied consecutively for obtaining the generation cost of the systems and thus devise the cheapest strategy among them. The Grey Wolf Optimizer (GWO) is improvised by incorporating strategies from population-based Sine Cosine Algorithm (SCA) along with position updating methods of crows from Crow Search Algorithm (CSA) to form a hybrid modified Grey Wolf Optimizer Sine Cosine Algorithm Crow Search Algorithm (GWOSCACSA) algorithm. The implementation of the proposed technique produces a comprehensive generator cost reduction of the microgrid system. It was evident from the results that generation cost was minimum when Time of Usage (TOU) based market pricing strategy was considered. Further, it was also established that dynamic grid participation was reduced 47% in the system generation cost for the same scenario compared to the case when the grid was operating passively. The statistical analysis endorses the improvements of GWOSCACSA over other algorithms presented in the state-of-art-literature.
Bishwajit Dey; Saurav Raj; Sheila Mahapatra; Fausto Pedro García Márquez. Optimal scheduling of distributed energy resources in microgrid systems based on electricity market pricing strategies by a novel hybrid optimization technique. International Journal of Electrical Power & Energy Systems 2021, 134, 107419 .
AMA StyleBishwajit Dey, Saurav Raj, Sheila Mahapatra, Fausto Pedro García Márquez. Optimal scheduling of distributed energy resources in microgrid systems based on electricity market pricing strategies by a novel hybrid optimization technique. International Journal of Electrical Power & Energy Systems. 2021; 134 ():107419.
Chicago/Turabian StyleBishwajit Dey; Saurav Raj; Sheila Mahapatra; Fausto Pedro García Márquez. 2021. "Optimal scheduling of distributed energy resources in microgrid systems based on electricity market pricing strategies by a novel hybrid optimization technique." International Journal of Electrical Power & Energy Systems 134, no. : 107419.
The presented work employs the multiple random feature kernel mean p-power algorithm (MRFKMP) for the voltage source converter (VSC) control of a three-phase four-wire grid-tied dual-stage photovoltaic-hybrid energy storage system (HESS) to achieve multiple objectives during various induced dynamic conditions. The proposed control enables the VSC to accomplish manifold goals, i.e., reactive power compensation, power quality enhancement, load, power balancing at common coupling point and grid voltage balancing during unity power factor mode of operation. The proposed system is scrutinized under steady-state and numerous dynamic states such as irradiation variation, specified power mode, abnormal grid voltage, load, and grid voltage unbalancing. The seamless control facilitates the swift resynchronization of the grid as well as maintaining stability during islanding and re-synchronization operations while satisfying the necessary load requirements. The associated HESS consisting of battery and ultra-capacitor is competent enough in managing the interruptions occurring on the grid, load and photovoltaic side. The DC bus voltage is controlled by the PI controller, which is tuned by the generalized normal distribution algorithm and kept at the desired level during diverse operating conditions. The optimized DC bus generates an accurate loss component of current and further enhances the VSC performance. The proposed system is investigated by simulation and found acceptable as per IEEE 519 standards.
Mukul Chankaya; Ikhlaq Hussain; Aijaz Ahmad; Hasmat Malik; Fausto García Márquez. Generalized Normal Distribution Algorithm-Based Control of 3-Phase 4-Wire Grid-Tied PV-Hybrid Energy Storage System. Energies 2021, 14, 4355 .
AMA StyleMukul Chankaya, Ikhlaq Hussain, Aijaz Ahmad, Hasmat Malik, Fausto García Márquez. Generalized Normal Distribution Algorithm-Based Control of 3-Phase 4-Wire Grid-Tied PV-Hybrid Energy Storage System. Energies. 2021; 14 (14):4355.
Chicago/Turabian StyleMukul Chankaya; Ikhlaq Hussain; Aijaz Ahmad; Hasmat Malik; Fausto García Márquez. 2021. "Generalized Normal Distribution Algorithm-Based Control of 3-Phase 4-Wire Grid-Tied PV-Hybrid Energy Storage System." Energies 14, no. 14: 4355.
This paper proposes the application of a metaheuristic algorithm inspired by the social behavior of chimps in nature, called Chimp Optimization Algorithm (ChOA), for the maximum power point tracking of solar photovoltaic (PV) strings. In this algorithm, the chimps hunting process is mathematically articulated, and new mechanisms are designed to perform the exploration and exploitation. To evaluate the ChOA, it is applied to some fixed dimension benchmark functions and engineering problem application of tracking maximum power from solar PV systems under partial shading conditions. Partial shading condition is a common problem that appears in the solar PV modules installed in domestic areas. This shading alters the power developed by the solar PV panel, and exhibits multiple peaks on the power variation with voltage (P-V) characteristic curve. The dynamics of the solar PV system have been considered, and the mathematical model of a single objective function has been framed for tuning the optimal control parameter with the suggested algorithm. Implementing various practical shading patterns of solar PV systems with the ChOA algorithm has shown improved solar power point tracking performance compared to other algorithms in the literature.
Timmidi Nagadurga; Pasumarthi Narasimham; V. Vakula; Ramesh Devarapalli; Fausto Márquez. Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm. Energies 2021, 14, 4086 .
AMA StyleTimmidi Nagadurga, Pasumarthi Narasimham, V. Vakula, Ramesh Devarapalli, Fausto Márquez. Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm. Energies. 2021; 14 (14):4086.
Chicago/Turabian StyleTimmidi Nagadurga; Pasumarthi Narasimham; V. Vakula; Ramesh Devarapalli; Fausto Márquez. 2021. "Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm." Energies 14, no. 14: 4086.
The unpredictable nature of the loads and non-linearity of the components of microgrid systems make optimal scheduling more complex. In this paper, a deterministic optimal load-scheduling problem is developed for microgrids operating in both islanding and grid-connected mode under different energy scenarios. Various cases are considered in this research, based on the interaction and dynamic behavior of the microgrid, considering electric vehicles (EVs) in the scenario. The aim of this research is to minimize the overall cost of microgrid operations. The concept of dynamic pricing has also been introduced in order to optimize the energy cost for the consumers. For ensuring the stability of the microgrids, a load variance index has been considered, and the fuzzy-based approach has been used for cost and load variance minimization to reduce the operation cost without compromising the stability of the microgrid. The grid-to-vehicle (G2V) and vehicle-to-grid (V2G) operations of EVs are integrated into the microgrid, which would help in valley filling and peak shaving of the loads during the off-peak and peak hours, respectively. In order to solve the proposed complex combinatorial optimization problem, elephant herding optimization (EHO) is modified and implemented. The performance of the proposed improved EHO (IEHO) is first tested on the latest CEC test functions. The results obtained by IEHO after 100 different trials are compared with the latest published methods and are found to be better based on the average value and the standard deviation for different CEC test functions. In addition, the simulation results obtained by particle swarm optimization (PSO), EHO, and proposed IEHO on a microgrid test system for different scenarios with all cases reveal that the proposed model with a mix of energy resources in the dynamic load dispatch environment bring the maximum benefits of microgrid systems. Furthermore, the results obtained from the simulation verifies that if free trade of power is allowed between the microgrids and the main grid, the process of power generation can be more economical, and further introduction of dynamic pricing into the scenario proves to be even cheaper. The implementation of the G2V and V2G operations of EVs operations in the proposed scenario not only helped in cost minimization but also helped in stabilizing the grid.
Vinay Jadoun; Nipun Sharma; Piyush Jha; Jayalakshmi S.; Hasmat Malik; Fausto Garcia Márquez. Optimal Scheduling of Dynamic Pricing Based V2G and G2V Operation in Microgrid Using Improved Elephant Herding Optimization. Sustainability 2021, 13, 7551 .
AMA StyleVinay Jadoun, Nipun Sharma, Piyush Jha, Jayalakshmi S., Hasmat Malik, Fausto Garcia Márquez. Optimal Scheduling of Dynamic Pricing Based V2G and G2V Operation in Microgrid Using Improved Elephant Herding Optimization. Sustainability. 2021; 13 (14):7551.
Chicago/Turabian StyleVinay Jadoun; Nipun Sharma; Piyush Jha; Jayalakshmi S.; Hasmat Malik; Fausto Garcia Márquez. 2021. "Optimal Scheduling of Dynamic Pricing Based V2G and G2V Operation in Microgrid Using Improved Elephant Herding Optimization." Sustainability 13, no. 14: 7551.
The increase in penetration of wind farms operating with doubly fed induction generators (DFIG) results in stability issues such as voltage dips and high short circuit currents in the case of faults. To overcome these issues, and to achieve reliable and sustainable power from an uncertain wind source, fault current limiters (FCL) are incorporated. This work focuses on limiting the short circuit current level and fulfilling the reactive power compensation of a DFIG wind farm using a capacitive bridge fault current limiter (CBFCL). To deliver sustainable wind power to the grid, a fuzzy-based CBFCL is designed for generating optimal reactive power to suppress the instantaneous voltage drop during the fault and in the recovery state. The performance of the proposed fuzzy-based CBFCL is presented under a fault condition to account for real-time conditions. The results show that the proposed fuzzy-based CBFCL offers a more effective solution for overcoming the low voltage ride through (LVRT) problem than a traditional controller.
A. Padmaja; Allusivala Shanmukh; Siva Mendu; Ramesh Devarapalli; Javier Serrano González; Fausto García Márquez. Design of Capacitive Bridge Fault Current Limiter for Low-Voltage Ride-Through Capacity Enrichment of Doubly Fed Induction Generator-Based Wind Farm. Sustainability 2021, 13, 6656 .
AMA StyleA. Padmaja, Allusivala Shanmukh, Siva Mendu, Ramesh Devarapalli, Javier Serrano González, Fausto García Márquez. Design of Capacitive Bridge Fault Current Limiter for Low-Voltage Ride-Through Capacity Enrichment of Doubly Fed Induction Generator-Based Wind Farm. Sustainability. 2021; 13 (12):6656.
Chicago/Turabian StyleA. Padmaja; Allusivala Shanmukh; Siva Mendu; Ramesh Devarapalli; Javier Serrano González; Fausto García Márquez. 2021. "Design of Capacitive Bridge Fault Current Limiter for Low-Voltage Ride-Through Capacity Enrichment of Doubly Fed Induction Generator-Based Wind Farm." Sustainability 13, no. 12: 6656.
The innovation of novel absorbing materials using composite materials and nanotechnology is of new trends for many researches. Here, the present study is concerning to enhance the distilled water productivity of a proposed solar still (PSS) using novel absorbing materials. The absorbing material is composed of chitosan (obtained from waste shrimp shells), ethylene diamine tetraacetic acid (EDTA), and Chrysopogon zizaniodes (Vetiver). The combination of these materials is coined as CHEDZ, and it acts as a super absorbent polymer that is coated on the stepped solar still. Evaporation rate increases due to this absorbent, which further increases the yield of the still. In this present study, the PSS is compared with the conventional solar still (CSS) for the use of assessing the yield of freshwater in the same atmospheric circumstance. The experimental setup was performed through the period from December to February 2020 in the Indian climatic condition. The freshwater productivity was improved to 3.05 L/day while the yield of the CSS is 2.47 L/day. The increase in efficiency obtained from a PSS is 39.71% more than the productivity attained from the CSS. The energy efficiency of the PSS is 18.34% and the exergy efficiency is 0.45%.
Gurukarthik Babu Balachandran; Prince Winston David; Anandha Balaji Alexander; Muthu Manokar Athikesavan; Padmanaban Velayudha Perumal Chellam; Krishna Kumar Sasi Kumar; Vinothkumar Palanichamy; Abd Elnaby Kabeel; Ravishankar Sathyamurthy; Fausto Pedro Garcia Marquez. A relative study on energy and exergy analysis between conventional single slope and novel stepped absorbable plate solar stills. Environmental Science and Pollution Research 2021, 1 -17.
AMA StyleGurukarthik Babu Balachandran, Prince Winston David, Anandha Balaji Alexander, Muthu Manokar Athikesavan, Padmanaban Velayudha Perumal Chellam, Krishna Kumar Sasi Kumar, Vinothkumar Palanichamy, Abd Elnaby Kabeel, Ravishankar Sathyamurthy, Fausto Pedro Garcia Marquez. A relative study on energy and exergy analysis between conventional single slope and novel stepped absorbable plate solar stills. Environmental Science and Pollution Research. 2021; ():1-17.
Chicago/Turabian StyleGurukarthik Babu Balachandran; Prince Winston David; Anandha Balaji Alexander; Muthu Manokar Athikesavan; Padmanaban Velayudha Perumal Chellam; Krishna Kumar Sasi Kumar; Vinothkumar Palanichamy; Abd Elnaby Kabeel; Ravishankar Sathyamurthy; Fausto Pedro Garcia Marquez. 2021. "A relative study on energy and exergy analysis between conventional single slope and novel stepped absorbable plate solar stills." Environmental Science and Pollution Research , no. : 1-17.
In recent years, energy saving has attracted the attention of researchers due to environment, energy, and reliability issues. Energy saving due to these advantages is one of the major steps toward sustainable cities and society. In this regard, the low-voltage section of the distribution system, including buildings and public lighting systems (PLSs), has great energy-saving potential. Accordingly, the present work reviews the potential of different energy-saving options and their environmental impact on buildings of different sectors and PLSs. In addition to direct energy-saving options such as using renewable energy sources and energy-efficient luminaries, available indirect options such as transactive energy, using energy storage systems and demand response programs are reviewed. For both the building and PLS sectors, available control strategies and technologies and related energy and emission saving potential are discussed. The detailed highlights of the previous works associated with the location of each research or experimental study are given in this review study. Finally, the key findings regarding the gap in the literature of the energy saving topic are discussed. This study is influential for policy-makers to take effective actions for energy saving through existing approaches and technologies, and is beneficial for researchers of the energy saving topic.
Omid Sadeghian; Arash Moradzadeh; Behnam Mohammadi-Ivatloo; Mehdi Abapour; Amjad Anvari-Moghaddam; Jeng Shiun Lim; Fausto Pedro Garcia Marquez. A comprehensive review on energy saving options and saving potential in low voltage electricity distribution networks: Building and public lighting. Sustainable Cities and Society 2021, 72, 103064 .
AMA StyleOmid Sadeghian, Arash Moradzadeh, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Amjad Anvari-Moghaddam, Jeng Shiun Lim, Fausto Pedro Garcia Marquez. A comprehensive review on energy saving options and saving potential in low voltage electricity distribution networks: Building and public lighting. Sustainable Cities and Society. 2021; 72 ():103064.
Chicago/Turabian StyleOmid Sadeghian; Arash Moradzadeh; Behnam Mohammadi-Ivatloo; Mehdi Abapour; Amjad Anvari-Moghaddam; Jeng Shiun Lim; Fausto Pedro Garcia Marquez. 2021. "A comprehensive review on energy saving options and saving potential in low voltage electricity distribution networks: Building and public lighting." Sustainable Cities and Society 72, no. : 103064.
A new hybrid meta-heuristic approach Jaya–PPS, which is the combination of the Jaya algorithm and Powell’s Pattern Search method, is proposed in this paper to solve the optimal power flow (OPF) problem for minimization of fuel cost, emission and real power losses and total voltage deviation simultaneously. The recently developed Jaya algorithm has been applied for the exploration of search space, while the excellent local search capability of the PPS (Powell’s Pattern Search) method has been used for exploitation purposes. Integration of the local search procedure into the classical Jaya algorithm was carried out in three different ways, which resulted in three versions, namely, J-PPS1, J-PPS2 and J-PPS3. These three versions of the proposed hybrid Jaya–PPS approach were developed and implemented to solve the OPF problem in the standard IEEE 30-bus and IEEE 57-bus systems integrated with distributed generating units optimizing four objective functions simultaneously and IEEE 118-bus system for fuel cost minimization. The obtained results of the three versions are compared to the Dragonfly Algorithm, Grey Wolf Optimization Algorithm, Jaya Algorithm and already published results using other methods. A comparison of the results clearly demonstrates the superiority of the proposed J–PPS3 algorithm over different algorithms/versions and the reported methods.
Saket Gupta; Narendra Kumar; Laxmi Srivastava; Hasmat Malik; Alberto Pliego Marugán; Fausto García Márquez. A Hybrid Jaya–Powell’s Pattern Search Algorithm for Multi-Objective Optimal Power Flow Incorporating Distributed Generation. Energies 2021, 14, 2831 .
AMA StyleSaket Gupta, Narendra Kumar, Laxmi Srivastava, Hasmat Malik, Alberto Pliego Marugán, Fausto García Márquez. A Hybrid Jaya–Powell’s Pattern Search Algorithm for Multi-Objective Optimal Power Flow Incorporating Distributed Generation. Energies. 2021; 14 (10):2831.
Chicago/Turabian StyleSaket Gupta; Narendra Kumar; Laxmi Srivastava; Hasmat Malik; Alberto Pliego Marugán; Fausto García Márquez. 2021. "A Hybrid Jaya–Powell’s Pattern Search Algorithm for Multi-Objective Optimal Power Flow Incorporating Distributed Generation." Energies 14, no. 10: 2831.
It is expected that large-scale producers of wind energy will become dominant players in the future electricity market. However, wind power output is irregular in nature and it is subjected to numerous fluctuations. Due to the effect on the production of wind power, producing a detailed bidding strategy is becoming more complicated in the industry. Therefore, in view of these uncertainties, a competitive bidding approach in a pool-based day-ahead energy marketplace is formulated in this paper for traditional generation with wind power utilities. The profit of the generating utility is optimized by the modified gravitational search algorithm, and the Weibull distribution function is employed to represent the stochastic properties of wind speed profile. The method proposed is being investigated and simplified for the IEEE-30 and IEEE-57 frameworks. The results were compared with the results obtained with other optimization methods to validate the approach.
Satyendra Singh; Manoj Fozdar; Hasmat Malik; Maria Fernández Moreno; Fausto García Márquez. Influence of Wind Power on Modeling of Bidding Strategy in a Promising Power Market with a Modified Gravitational Search Algorithm. Applied Sciences 2021, 11, 4438 .
AMA StyleSatyendra Singh, Manoj Fozdar, Hasmat Malik, Maria Fernández Moreno, Fausto García Márquez. Influence of Wind Power on Modeling of Bidding Strategy in a Promising Power Market with a Modified Gravitational Search Algorithm. Applied Sciences. 2021; 11 (10):4438.
Chicago/Turabian StyleSatyendra Singh; Manoj Fozdar; Hasmat Malik; Maria Fernández Moreno; Fausto García Márquez. 2021. "Influence of Wind Power on Modeling of Bidding Strategy in a Promising Power Market with a Modified Gravitational Search Algorithm." Applied Sciences 11, no. 10: 4438.
Generation of electricity comes with the emission of toxic gases into the atmosphere by the fossil fueled generators. Along with the promotion in the utilization of renewable energy sources (RES), it is also the duty of the power engineers to arrive at a compromised solution such that less emission of toxic gases occurs with economic generation of electricity. This paper proposes a balanced trade-off method for solving environment constrained economic dispatch (ECED) problems. A novel comparative analysis is performed among proposed ECED method with existing price-penalty-factor (PPF) and fractional programming (FP) methods for solving combined economic emission dispatch (CEED) problems on a 3-unit dynamic test system to sort out the method, which yields a better trade off solution between generation cost and pollutants emitted. An algorithm, following the hunting strategy of wolves, is improvised by incorporating strategies from population-based sine-cosine algorithm along with position updating methods of crows to form a robust hybrid algorithm, which was used as the optimization tool for the study. Involvement of RES diminished the generation cost to 5.5% for both economic dispatch and PPF based CEED, and 6.5% decrease in emission of pollutants was observed due to the same. The generation cost and amount of emitted pollutants, evaluated using proposed ECED approach, were much closer to the economic dispatch and emission dispatch values respectively compared to PPF based and FP based CEED solution. Furthermore, statistical analysis endorses the superiority of the proposed hybrid optimizer over other algorithms presented in the state-of-art literature.
Bishwajit Dey; Biplab Bhattacharyya; Fausto Pedro García Márquez. A hybrid optimization-based approach to solve environment constrained economic dispatch problem on microgrid system. Journal of Cleaner Production 2021, 307, 127196 .
AMA StyleBishwajit Dey, Biplab Bhattacharyya, Fausto Pedro García Márquez. A hybrid optimization-based approach to solve environment constrained economic dispatch problem on microgrid system. Journal of Cleaner Production. 2021; 307 ():127196.
Chicago/Turabian StyleBishwajit Dey; Biplab Bhattacharyya; Fausto Pedro García Márquez. 2021. "A hybrid optimization-based approach to solve environment constrained economic dispatch problem on microgrid system." Journal of Cleaner Production 307, no. : 127196.
Wind energy is considered as one of the most important renewable energies in the world, employing larger and more complex wind turbines. They need novel condition monitoring systems to ensure the reliability, availability, safety and maintainability of the main components of the wind turbines. It leads to early fault detection, increasing the productivity and minimizing the maintenance costs and downtimes. This article proposes a novel non-destructive testing system to analyse acoustically rotatory devices of wind turbines. It captures the noise emitted by the devices using an acoustic condition monitoring system embedded in an unmanned aerial vehicle. The signal acquired is sent to ground computer station for recording and analysing the data. It uses a test rig, previously validated, to carry out a set of experiments to simulate the main faults. A signal processing method is done by wavelet transforms that filters and analyses the energy patterns of the signals. The results are analysed qualitatively and quantitatively considering different scenarios. A statistical analysis is developed to compare the numerical results provided by different wavelet transform families and convolutional neural network. It is concluded that Symlets and Daubechies families report equivalent results for this case study. The accuracies of the results are more than 75%, reaching up to 100%. The approach is validated employing Friedman test.
Fausto Pedro García Márquez; Pedro José Bernalte Sánchez; Isaac Segovia Ramírez. Acoustic inspection system with unmanned aerial vehicles for wind turbines structure health monitoring. Structural Health Monitoring 2021, 1 .
AMA StyleFausto Pedro García Márquez, Pedro José Bernalte Sánchez, Isaac Segovia Ramírez. Acoustic inspection system with unmanned aerial vehicles for wind turbines structure health monitoring. Structural Health Monitoring. 2021; ():1.
Chicago/Turabian StyleFausto Pedro García Márquez; Pedro José Bernalte Sánchez; Isaac Segovia Ramírez. 2021. "Acoustic inspection system with unmanned aerial vehicles for wind turbines structure health monitoring." Structural Health Monitoring , no. : 1.
This paper proposes a robust finite-time controller (FTC) for a permanent magnet synchronous generator (PMSG)-based wind turbine generator (WTG). An adaptive observer is used for the rotor angle, rotor speed, and turbine torque estimations of the PMSG, thus eliminating the use of anemometers. The robustness of the proposed FTC regarding parameter uncertainty and the external weak power grid is analyzed. The impacts of the power grid short-circuit ratio (SCR) at the point of common coupling (PCC) on the conventional proportional-integral (PI) controller and the proposed FTC are discussed. Case studies illustrate that the proposed observer-based FTC is able to estimate the mechanical variables accurately and provides robust control for WTGs with parameter uncertainty and weak power grids.
Roghayyeh Pourebrahim; Amin Shotorbani; Fausto Márquez; Sajjad Tohidi; Behnam Mohammadi-Ivatloo. Robust Control of a PMSG-Based Wind Turbine Generator Using Lyapunov Function. Energies 2021, 14, 1712 .
AMA StyleRoghayyeh Pourebrahim, Amin Shotorbani, Fausto Márquez, Sajjad Tohidi, Behnam Mohammadi-Ivatloo. Robust Control of a PMSG-Based Wind Turbine Generator Using Lyapunov Function. Energies. 2021; 14 (6):1712.
Chicago/Turabian StyleRoghayyeh Pourebrahim; Amin Shotorbani; Fausto Márquez; Sajjad Tohidi; Behnam Mohammadi-Ivatloo. 2021. "Robust Control of a PMSG-Based Wind Turbine Generator Using Lyapunov Function." Energies 14, no. 6: 1712.
The utilization of synthetic materials stimulates environmental concerns, and researchers worldwide are effectively reacting to environmental concerns by transitioning towards biodegradable and sustainable materials. Natural fibers like jute and sisal have been being utilized for ages in several applications, such as ropes, building materials, particle boards, etc. The absence of essential information in preparing the natural-fiber-reinforced materials is still a challenge for future applications. Chemical treatments and surface modifications can improve the quality of the natural fibers. Natural-fiber-based composites are a potential candidate for many lightweight engineering applications with significant mechanical properties. In the view of the progressive literature reported in the field, this work aims to present the significance of natural fibers, their composites, and the main factors influencing these materials for various applications (automotive industry, for instance). Secondly, we aim to address different surface modifications and chemical treatments on natural fibers and finally provide an overview of natural fiber reinforced polymer composites’ potential applications.
Muhammad Khalid; Ramsha Imran; Zia Arif; Naveed Akram; Hassan Arshad; Ans Al Rashid; Fausto García Márquez. Developments in Chemical Treatments, Manufacturing Techniques and Potential Applications of Natural-Fibers-Based Biodegradable Composites. Coatings 2021, 11, 293 .
AMA StyleMuhammad Khalid, Ramsha Imran, Zia Arif, Naveed Akram, Hassan Arshad, Ans Al Rashid, Fausto García Márquez. Developments in Chemical Treatments, Manufacturing Techniques and Potential Applications of Natural-Fibers-Based Biodegradable Composites. Coatings. 2021; 11 (3):293.
Chicago/Turabian StyleMuhammad Khalid; Ramsha Imran; Zia Arif; Naveed Akram; Hassan Arshad; Ans Al Rashid; Fausto García Márquez. 2021. "Developments in Chemical Treatments, Manufacturing Techniques and Potential Applications of Natural-Fibers-Based Biodegradable Composites." Coatings 11, no. 3: 293.