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Dr. Marcos Tostado-Véliz
University of Jaén

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Research Keywords & Expertise

0 Demand Response
0 Power Systems
0 microgrid
0 Renewable energies
0 Electric Vehicle

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Power Systems
power flow analysis
Home energy management system
Newton-like methods
Demand Response
microgrid
Electric Vehicle
Energy market

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Short Biography

MARCOS TOSTADO-VÉLIZ was born in Spain in 1987. He received the Electrical Engineering (with Hons.) and Master’s degrees in 2016 and 2017, respectively, from the University of Seville, Seville, Spain. He received the Ph.D. degree in 2020, from the University of Jaén, Jaén, Spain. His primary research interests include the application of numerical methods for power system analysis, multienergy systems modelling, home energy managemet systems and microgrids control and optimization.

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Journal article
Published: 24 August 2021 in Mathematics
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Recently, the high-order Newton-like methods have gained popularity for solving power flow problems due to their simplicity, versatility and, in some cases, efficiency. In this context, recent research studied the applicability of the 4th order Jarrat’s method as applied to power flow calculation (PFC). Despite the 4th order of convergence of this technique, it is not competitive with the conventional solvers due to its very high computational cost. This paper addresses this issue by proposing two efficient modifications of the 4th order Jarrat’s method, which present the fourth and sixth order of convergence. In addition, continuous versions of the new proposals and the 4th order Jarrat’s method extend their applicability to ill-conditioned cases. Extensive results in multiple realistic power networks serve to sow the performance of the developed solvers. Results obtained in both well and ill-conditioned cases are promising.

ACS Style

Talal Alharbi; Marcos Tostado-Véliz; Omar Alrumayh; Francisco Jurado. On Various High-Order Newton-Like Power Flow Methods for Well and Ill-Conditioned Cases. Mathematics 2021, 9, 2019 .

AMA Style

Talal Alharbi, Marcos Tostado-Véliz, Omar Alrumayh, Francisco Jurado. On Various High-Order Newton-Like Power Flow Methods for Well and Ill-Conditioned Cases. Mathematics. 2021; 9 (17):2019.

Chicago/Turabian Style

Talal Alharbi; Marcos Tostado-Véliz; Omar Alrumayh; Francisco Jurado. 2021. "On Various High-Order Newton-Like Power Flow Methods for Well and Ill-Conditioned Cases." Mathematics 9, no. 17: 2019.

Journal article
Published: 16 August 2021 in Energies
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This paper presents a novel minimum seeking algorithm referred to as the Hunger Games Search (HGS) algorithm. The HGS is used to obtain optimal values in the model describing proton exchange membrane fuel cells (PEMFCs). The PEMFC model has many parameters that are linked in a nonlinear manner, as well as a set of constraints. The HGS was used with the aforementioned model to test its performance against nonlinear models. The main aim of the optimization problem was to obtain accurate values of PEMFC parameters. The proposed heuristic algorithm was used with two commercial PEMFCs: the Ballard Mark V and the BCS 500 W. The simulation results obtained using the HGS-based model were compared to the experimental results. The effectiveness of the proposed model was verified under various temperature and partial pressure conditions. The numerical output results of the HGS-based fuel cell model were compared with other optimization algorithm-based models with respect to their efficiency. Moreover, the parametric t-test and other statistical analysis methods were employed to check the robustness of the proposed algorithm under various independent runs. Using the proposed HGS-based PEMFC model, a model with very high precision could be obtained, affecting the operation and control of the fuel cells in the simulation analyses.

ACS Style

Samuel Raafat Fahim; Hany M. Hasanien; Rania A. Turky; Abdulaziz Alkuhayli; Abdullrahman A. Al-Shamma’A; Abdullah M. Noman; Marcos Tostado-Véliz; Francisco Jurado. Parameter Identification of Proton Exchange Membrane Fuel Cell Based on Hunger Games Search Algorithm. Energies 2021, 14, 5022 .

AMA Style

Samuel Raafat Fahim, Hany M. Hasanien, Rania A. Turky, Abdulaziz Alkuhayli, Abdullrahman A. Al-Shamma’A, Abdullah M. Noman, Marcos Tostado-Véliz, Francisco Jurado. Parameter Identification of Proton Exchange Membrane Fuel Cell Based on Hunger Games Search Algorithm. Energies. 2021; 14 (16):5022.

Chicago/Turabian Style

Samuel Raafat Fahim; Hany M. Hasanien; Rania A. Turky; Abdulaziz Alkuhayli; Abdullrahman A. Al-Shamma’A; Abdullah M. Noman; Marcos Tostado-Véliz; Francisco Jurado. 2021. "Parameter Identification of Proton Exchange Membrane Fuel Cell Based on Hunger Games Search Algorithm." Energies 14, no. 16: 5022.

Review
Published: 22 July 2021 in Thermo
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The mobility industry has experienced a fast evolution towards electric-based transport in recent years. Recently, hybrid electric vehicles, which combine electric and conventional combustion systems, have become the most popular alternative by far. This is due to longer autonomy and more extended refueling networks in comparison with the recharging points system, which is still quite limited in some countries. This paper aims to conduct a literature review on thermodynamic models of heat engines used in hybrid electric vehicles and their respective configurations for series, parallel and mixed powertrain. It will discuss the most important models of thermal energy in combustion engines such as the Otto, Atkinson and Miller cycles which are widely used in commercial hybrid electric vehicle models. In short, this work aims at serving as an illustrative but descriptive document, which may be valuable for multiple research and academic purposes.

ACS Style

Rogelio León; Christian Montaleza; José Maldonado; Marcos Tostado-Véliz; Francisco Jurado. Hybrid Electric Vehicles: A Review of Existing Configurations and Thermodynamic Cycles. Thermo 2021, 1, 134 -150.

AMA Style

Rogelio León, Christian Montaleza, José Maldonado, Marcos Tostado-Véliz, Francisco Jurado. Hybrid Electric Vehicles: A Review of Existing Configurations and Thermodynamic Cycles. Thermo. 2021; 1 (2):134-150.

Chicago/Turabian Style

Rogelio León; Christian Montaleza; José Maldonado; Marcos Tostado-Véliz; Francisco Jurado. 2021. "Hybrid Electric Vehicles: A Review of Existing Configurations and Thermodynamic Cycles." Thermo 1, no. 2: 134-150.

Journal article
Published: 07 July 2021 in Energies
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This work presents a comprehensive analysis of two cubic techniques for Power Flow (PF) studies. In this regard, the families of Weerakoon-like and Darvishi-like techniques are considered. Several theoretical findings are presented and posteriorly confirmed by multiple numerical results. Based on the obtained results, the Weerakoon’s technique is considered more reliable than the Newton-Raphson and Darvishi’s methods. As counterpart, it presents a high computational burden. Regarding this point, the Darvishi’s technique has turned out to be quite efficient and fully competitive with the Newton’s scheme.

ACS Style

Marcos Tostado-Véliz; Salah Kamel; Francisco Jurado; Francisco Ruiz-Rodriguez. On the Applicability of Two Families of Cubic Techniques for Power Flow Analysis. Energies 2021, 14, 4108 .

AMA Style

Marcos Tostado-Véliz, Salah Kamel, Francisco Jurado, Francisco Ruiz-Rodriguez. On the Applicability of Two Families of Cubic Techniques for Power Flow Analysis. Energies. 2021; 14 (14):4108.

Chicago/Turabian Style

Marcos Tostado-Véliz; Salah Kamel; Francisco Jurado; Francisco Ruiz-Rodriguez. 2021. "On the Applicability of Two Families of Cubic Techniques for Power Flow Analysis." Energies 14, no. 14: 4108.

Journal article
Published: 01 July 2021 in Applied Sciences
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This paper presents a novel Power-Flow solution paradigm based on the structure of the members of the Runge–Kutta family. Solution approaches based on the introduced solution paradigm are intrinsically robust and can achieve high-order convergences rates. It is demonstrated that some well-known Power-Flow solution methods are in fact special cases of the developed framework. Explicit and embedded formulations are discussed, and two novel solution methodologies based on the Explicit Heun and Embedded Heun–Euler’s methods are developed. The introduced solution techniques are validated in the EU PEGASE systems, considering different starting points and loading levels. Results show that the developed methods are quite reliable and efficient, outperforming other robust and standard methodologies. On the basis of the results obtained, we can affirm that the introduced solution paradigm constitutes a promising framework for developing novel Power-Flow solution techniques.

ACS Style

Marcos Tostado-Véliz; Salah Kamel; Antonio Escamez; David Vera; Francisco Jurado. A Common Framework for Developing Robust Power-Flow Methods with High Convergence Rate. Applied Sciences 2021, 11, 6147 .

AMA Style

Marcos Tostado-Véliz, Salah Kamel, Antonio Escamez, David Vera, Francisco Jurado. A Common Framework for Developing Robust Power-Flow Methods with High Convergence Rate. Applied Sciences. 2021; 11 (13):6147.

Chicago/Turabian Style

Marcos Tostado-Véliz; Salah Kamel; Antonio Escamez; David Vera; Francisco Jurado. 2021. "A Common Framework for Developing Robust Power-Flow Methods with High Convergence Rate." Applied Sciences 11, no. 13: 6147.

Journal article
Published: 17 June 2021 in Applied Energy
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The emergence of novel demand-side management strategies is provoking that residential consumers cannot be longer categorized as inflexible loads. In that sense, new paradigms such as flexible demand and vehicle-to-home capabilities have appeared on pursuing a more efficient management of the different domestic assets such as smart appliances, small renewable generators and storage facilities. Consideration of such kind of management strategies plays a vital role on designing stages of electrifications systems for isolated homes. In this regard, a proper evaluation of possible demand-side capabilities enables a more accurate evaluation of the electrification project. This paper tackles this issue by developing a Mixed Integer Linear Programming formulation for optimal planning of electrification systems for off-grid dwellings. The developed framework allows to incorporate and analyse advanced demand-side strategies such as deferrable loads and vehicle-to-home processes by evaluating different project costs over various time horizons. The proposed approach is applied to a benchmark off-grid residential case study and various results are provided and analysed. As the most relevant result, it is worth remarking that total project cost can be reduced by ~21.2% and ~25.73% by considering flexible demand and vehicle-to-home capabilities, respectively. Nevertheless, the highest monetary savings were achieved when both strategies are jointly adopted, reducing the total project cost up to ~41.5%. The reported results demonstrate the importance of considering the different demand-side strategies on planning stages of electrification systems for off-grid dwellings.

ACS Style

Marcos Tostado-Véliz; Rogelio S. León-Japa; Francisco Jurado. Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities. Applied Energy 2021, 298, 117184 .

AMA Style

Marcos Tostado-Véliz, Rogelio S. León-Japa, Francisco Jurado. Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities. Applied Energy. 2021; 298 ():117184.

Chicago/Turabian Style

Marcos Tostado-Véliz; Rogelio S. León-Japa; Francisco Jurado. 2021. "Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities." Applied Energy 298, no. : 117184.

Journal article
Published: 17 May 2021 in Journal of Cleaner Production
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In off-grid dwellings, proper energy management of different appliances, onsite generators and storage facilities is crucial to meet some monetary goals and environmental premises such as CO2 emissions and diesel consumption reduction. Nowadays, this task may be performed by home energy management systems, which are able to efficiently coordinate the operation of the different home assets to achieve some predefined goals. In such cases, the operation of thermostatically controlled appliances such as heating-ventilation-air conditioning systems, electric water heaters and freezers, plays a vital role as this kind of devices allow certain degree of flexibility. This way, some thermal premises (such as thermal comfort, frozen food conservation or hot water temperature set-point) can be relaxed in order to achieve other complementary goals. This work analyses this aspect by proposing a home energy management model which incorporates flexible operational modes of various typical thermostatically controlled devices. Various results are presented on a benchmark isolated home which counts with a diesel engine as backup generator. Results show that energy generated by the backup generator can be reduced by 15% by operating the thermal-based appliances in a flexible way, while other relevant indicators such as fuel consumption, fuel cost and CO2 emissions can be also improved by 12%. Other relevant aspects such as the impact of the photovoltaic array size and storage capacity are also investigated.

ACS Style

Marcos Tostado-Véliz; Mohammad Bayat; Ali Asghar Ghadimi; Francisco Jurado. Home energy management in off-grid dwellings: Exploiting flexibility of thermostatically controlled appliances. Journal of Cleaner Production 2021, 310, 127507 .

AMA Style

Marcos Tostado-Véliz, Mohammad Bayat, Ali Asghar Ghadimi, Francisco Jurado. Home energy management in off-grid dwellings: Exploiting flexibility of thermostatically controlled appliances. Journal of Cleaner Production. 2021; 310 ():127507.

Chicago/Turabian Style

Marcos Tostado-Véliz; Mohammad Bayat; Ali Asghar Ghadimi; Francisco Jurado. 2021. "Home energy management in off-grid dwellings: Exploiting flexibility of thermostatically controlled appliances." Journal of Cleaner Production 310, no. : 127507.

Journal article
Published: 02 May 2021 in International Journal of Electrical Power & Energy Systems
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Nowadays, electricity end users can choose among a huge variety of different electricity plans on a deregulated energy market. The wide variety of tariffs besides the advent of novel agents like smart consumers and prosumers, are becoming the tariff-choosing process more complex. This paper proposes a MILP optimization framework which aims at facilitating this task. More precisely, the main endings of the developed framework are: (i) determine the most suitable tariff for smart consumers and prosumers based on historical consumption data, (ii) determine the optimal hours to be hired for a so-called ‘Happy hours’ tariff plan. In addition, other useful results can be directly obtained from the developed tool. The developed approach carries out a MILP optimization framework for optimal scheduling a series of flexible appliances through various characteristic days obtained from clustering historical collected data. This process is repeatedly executed for the different tariff options and, finally, the most attractive one is selected. A case study on the Spanish retail market for a benchmark prosumer environment is used for showing the capabilities of the developed framework.

ACS Style

Marcos Tostado-Véliz; Souhil Mouassa; Francisco Jurado. A MILP framework for electricity tariff-choosing decision process in smart homes considering ‘Happy Hours’ tariffs. International Journal of Electrical Power & Energy Systems 2021, 131, 107139 .

AMA Style

Marcos Tostado-Véliz, Souhil Mouassa, Francisco Jurado. A MILP framework for electricity tariff-choosing decision process in smart homes considering ‘Happy Hours’ tariffs. International Journal of Electrical Power & Energy Systems. 2021; 131 ():107139.

Chicago/Turabian Style

Marcos Tostado-Véliz; Souhil Mouassa; Francisco Jurado. 2021. "A MILP framework for electricity tariff-choosing decision process in smart homes considering ‘Happy Hours’ tariffs." International Journal of Electrical Power & Energy Systems 131, no. : 107139.

Research article
Published: 22 April 2021 in Electric Power Components and Systems
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The voltage stability analysis can be carried out using different continuation techniques. The continuation power flow that evaluates all power-flow solutions at different loading levels, is typically considered the most standard one. This approach is mainly based on two stages called predictor and corrector. The standard Newton–Raphson method is usually used at the corrector stage. In this paper, several corrector techniques based on efficient Newton-like methods are proposed in order to speed up the solution of continuation power flow. Consequently, two high order Newton-like methods as well as a fast corrector technique based on the Dishonest NR method have been proposed. A comprehensive study is addressed in order to check the suitability of the proposed corrector techniques compared with the standard Newton–Raphson (NR). Several small, medium, large and very large-scale test systems are used to achieve the validation. The obtained results prove the effectiveness and superiority of proposed techniques compared with the standard NR which conventionally used in corrector stage of the continuation power flow analysis in term of computational time.

ACS Style

Marcos Tostado-Véliz; Salah Kamel; Francisco Jurado. Development and Comparison of Efficient Newton-Like Methods for Voltage Stability Assessment. Electric Power Components and Systems 2021, 1 -16.

AMA Style

Marcos Tostado-Véliz, Salah Kamel, Francisco Jurado. Development and Comparison of Efficient Newton-Like Methods for Voltage Stability Assessment. Electric Power Components and Systems. 2021; ():1-16.

Chicago/Turabian Style

Marcos Tostado-Véliz; Salah Kamel; Francisco Jurado. 2021. "Development and Comparison of Efficient Newton-Like Methods for Voltage Stability Assessment." Electric Power Components and Systems , no. : 1-16.

Journal article
Published: 21 March 2021 in Journal of Energy Storage
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Battery storage system design has become a crucial task for nanogrids and microgrids planning, as it strongly determines the techno-economic viability of the project. Despite that, most of developed methodologies for optimally planning this kind of systems still present some important issues like high computational burden or insufficient results. This paper develops a novel methodology for battery storage system planning in nanogrids and microgrdis, which aims at overcoming the main issues presented by other methodologies. To achieve this goal, our proposal originally combines different software, clustering techniques and optimization tools. As salient features of the developed approach, it is worth remarking its efficiency, versatility, ability to manage with different time horizons and comprehensiveness. A prospective nanogrid in the region of Cuenca, Ecuador, serves as illustrative case study to show the capabilities, efficiency and effectiveness of the proposed approach as providing sufficient guidelines for its universal applicability. Among other relevant results, our proposal is able to determine that, for the studied grid, the daily operating cost can be reduced up to 17% by using Nickel-Cadmium batteries, however, the usage of Lead-Acid and Sodium-Sulfur technologies resulted more attractive through the project lifetime due to their longer lifetimes and relatively low capital costs.

ACS Style

Paul Arévalo; Marcos Tostado-Véliz; Francisco Jurado. A novel methodology for comprehensive planning of battery storage systems. Journal of Energy Storage 2021, 37, 102456 .

AMA Style

Paul Arévalo, Marcos Tostado-Véliz, Francisco Jurado. A novel methodology for comprehensive planning of battery storage systems. Journal of Energy Storage. 2021; 37 ():102456.

Chicago/Turabian Style

Paul Arévalo; Marcos Tostado-Véliz; Francisco Jurado. 2021. "A novel methodology for comprehensive planning of battery storage systems." Journal of Energy Storage 37, no. : 102456.

Journal article
Published: 06 February 2021 in Renewable Energy
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–This paper deals with the optimal sizing of a hybrid photovoltaic-battery storage system for home energy management considering reliability against grid outages and demand response. To that end, a novel optimization framework is developed which aims at minimizing the electricity bill while the reliability of the system is ensured for certain common outages. In order to ensure the accuracy of the results, a large amount of characteristic outages along with demand, solar irradiance and temperature profiles are generated from real data. Clustering techniques are used for reducing this data to those most characteristics profiles and manage with the unpredictable behaviour of the outage events. Demand response is incorporated via different incentives like tariffs based on time of use and real time pricing, along with the optimal scheduling of different typical deferrable appliances. A case study on a smart-prosumer environment serves to illustrate the capabilities of the developed approach as providing sufficient guidelines for its universal applicability. Different cases studies are simulated considering different battery technologies and electricity tariffs for comparison. Various aspects related with the reliability against grid outages are also analysed like its impact on the project cost or the influence of demand response strategies.

ACS Style

Marcos Tostado-Véliz; Daniel Icaza-Alvarez; Francisco Jurado. A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response. Renewable Energy 2021, 170, 884 -896.

AMA Style

Marcos Tostado-Véliz, Daniel Icaza-Alvarez, Francisco Jurado. A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response. Renewable Energy. 2021; 170 ():884-896.

Chicago/Turabian Style

Marcos Tostado-Véliz; Daniel Icaza-Alvarez; Francisco Jurado. 2021. "A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response." Renewable Energy 170, no. : 884-896.

Journal article
Published: 24 December 2020 in International Journal of Electrical Power & Energy Systems
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Along the conventional approach in power mismatches, the current injection form of the Power Flow (PF) equations is also quite popular and extensively considered for PF analysis, however, this approach has not been profusely studied for solving ill-conditioned systems yet. This paper aims at filling this gap by studying various conventional and modern robust solvers in current injection formulation. In addition, a novel robust PF technique using this formulation is developed. Several snapshots of the Polish Transmission systems are used to validate the studied PF solvers. It is concluded that the PF equations tend to be notably worse conditioned when they are handled in the current injection form compared with its power mismatch form, which complicates the solution of ill-conditioned systems. In this regard, the results obtained with the proposed technique are promising, showing a good trade-off between robustness and efficiency.

ACS Style

Marcos Tostado-Véliz; Salah Kamel; Francisco Jurado. Power flow solution of Ill-conditioned systems using current injection formulation: Analysis and a novel method. International Journal of Electrical Power & Energy Systems 2020, 127, 106669 .

AMA Style

Marcos Tostado-Véliz, Salah Kamel, Francisco Jurado. Power flow solution of Ill-conditioned systems using current injection formulation: Analysis and a novel method. International Journal of Electrical Power & Energy Systems. 2020; 127 ():106669.

Chicago/Turabian Style

Marcos Tostado-Véliz; Salah Kamel; Francisco Jurado. 2020. "Power flow solution of Ill-conditioned systems using current injection formulation: Analysis and a novel method." International Journal of Electrical Power & Energy Systems 127, no. : 106669.

Journal article
Published: 14 December 2020 in Energy Conversion and Management
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Recently, a growing interest on multienergy Microgrids has been observed. This kind of grids involves different energy vectors and treat them on a whole. The most typical cases contemplate electrical, natural gas and hydrogen subsystems. Multiple efforts have been conducted on modelling this kind of grids for energy management problems. However, it is observed that most of references studied do not faithfully modelling this kind of grids or directly omit some of the mentioned subsystems, which difficults the accurately representation of these grids. This paper aims at developing a comprehensive but tractable yet multienergy MG model, which allows to accurately represent the interaction between electrical, natural gas and hydrogen subsystems. To that end, the developed framework includes detailed models of the different elements which are typically encountered in this kind of grids such as Gas-to-Power or Power-to-Gas facilities. Also, charging stations for electrical, natural gas and hydrogen vehicles are considered. Different tariffs and vehicle charging modes can be easily incorporated within the developed framework. The proposed model is validated with a case study in typical winter and summer scenarios based on real data. Results show that the developed model is able to accurately represent the operational behavior of multienergy Microgrids, which may be valuable for multiple research and educational tools.

ACS Style

Marcos Tostado-Véliz; Paul Arévalo; Francisco Jurado. A comprehensive electrical-gas-hydrogen Microgrid model for energy management applications. Energy Conversion and Management 2020, 228, 113726 .

AMA Style

Marcos Tostado-Véliz, Paul Arévalo, Francisco Jurado. A comprehensive electrical-gas-hydrogen Microgrid model for energy management applications. Energy Conversion and Management. 2020; 228 ():113726.

Chicago/Turabian Style

Marcos Tostado-Véliz; Paul Arévalo; Francisco Jurado. 2020. "A comprehensive electrical-gas-hydrogen Microgrid model for energy management applications." Energy Conversion and Management 228, no. : 113726.

Journal article
Published: 28 July 2020 in International Journal of Electrical Power & Energy Systems
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This paper tackles the efficient Power-Flow solution of ill-conditioned cases. In that sense, those methods based on the Continuous Newton’s philosophy look very promising, however, these methodologies still present some issues mainly related with the computational efficiency or the robustness properties. In order to overcome these drawbacks, we suggest several modifications about the standard structure of the Continuous Newton’s method. Thus, the standard Continuous Newton’s paradigm is firstly modified with a frozen Jacobian scheme for reducing its computational burden; secondly, it is extended for being used with High-order Newton-like method for achieving higher convergence rate and, finally, a regularization scheme is introduced for improving its robustness features. On the basis of the suggested improvements, a Power-Flow solution paradigm is developed. As example, a novel Power-Flow solver based on the introduced solution framework and the 4th order Runge-Kutta formula is developed. The novel technique is validated in several realistic large-scale ill-conditioned systems. Results show that the suggested modifications allow to overcome the drawbacks presented by those methodologies based on the Continuous Newton’s method. On the light of the results obtained it can be also claimed, that the developed solution paradigm constitutes a promising framework for developing robust and efficient Power-Flow solution techniques.

ACS Style

Marcos Tostado-Véliz; Manuel A. Matos; João A. Peças Lopes; Francisco Jurado. An improved version of the Continuous Newton’s method for efficiently solving the Power-Flow in Ill-conditioned systems. International Journal of Electrical Power & Energy Systems 2020, 124, 106389 .

AMA Style

Marcos Tostado-Véliz, Manuel A. Matos, João A. Peças Lopes, Francisco Jurado. An improved version of the Continuous Newton’s method for efficiently solving the Power-Flow in Ill-conditioned systems. International Journal of Electrical Power & Energy Systems. 2020; 124 ():106389.

Chicago/Turabian Style

Marcos Tostado-Véliz; Manuel A. Matos; João A. Peças Lopes; Francisco Jurado. 2020. "An improved version of the Continuous Newton’s method for efficiently solving the Power-Flow in Ill-conditioned systems." International Journal of Electrical Power & Energy Systems 124, no. : 106389.

Journal article
Published: 16 July 2020 in IEEE Systems Journal
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This article proposes a novel power flow (PF) solution methodology. Unlike to conventional techniques, the new approach is based on recursive formulas rather than conventional iterative methods. Stability of the novel methodology is proved and some relevant computational aspects are discussed. A wide variety of well and ill-conditioned benchmark systems shows the performance of the developed methodology. The results demonstrate that the proposed recursive formula is computationally competitive with other traditional PF methods, besides it is scalable and reliable.

ACS Style

Marcos Tostado-Veliz; Salah Kamel; Francisco Jurado. Efficient and Reliable Power-Flow Solution Using Recursive Formula. IEEE Systems Journal 2020, 15, 3929 -3937.

AMA Style

Marcos Tostado-Veliz, Salah Kamel, Francisco Jurado. Efficient and Reliable Power-Flow Solution Using Recursive Formula. IEEE Systems Journal. 2020; 15 (3):3929-3937.

Chicago/Turabian Style

Marcos Tostado-Veliz; Salah Kamel; Francisco Jurado. 2020. "Efficient and Reliable Power-Flow Solution Using Recursive Formula." IEEE Systems Journal 15, no. 3: 3929-3937.

Journal article
Published: 06 July 2020 in IEEE Systems Journal
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Developing efficient power-flow (PF) solution techniques competitive with the conventional Newton–Raphson (NR), will be necessary in the future power system paradigm. In this article, two seventh-order PF solution methods based on two classic cubic nonlinear solvers are developed. The developed methods are more efficient than the standard NR. Up to ten realistic distribution and transmission systems are considered for validating the developed methods. Three scenarios, including base load, maximum load level, and enforcement of generators’ reactive limits, are considered. Results show that the developed PF solution methods enable computational savings higher than 20% and 30% with respect to standard NR and the cubic methods, respectively.

ACS Style

Marcos Tostado-Veliz; Salah Kamel; Francisco Jurado. Two Efficient and Reliable Power-Flow Methods With Seventh Order of Convergence. IEEE Systems Journal 2020, 15, 1026 -1035.

AMA Style

Marcos Tostado-Veliz, Salah Kamel, Francisco Jurado. Two Efficient and Reliable Power-Flow Methods With Seventh Order of Convergence. IEEE Systems Journal. 2020; 15 (1):1026-1035.

Chicago/Turabian Style

Marcos Tostado-Veliz; Salah Kamel; Francisco Jurado. 2020. "Two Efficient and Reliable Power-Flow Methods With Seventh Order of Convergence." IEEE Systems Journal 15, no. 1: 1026-1035.

Journal article
Published: 22 June 2020 in International Journal of Electrical Power & Energy Systems
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Recently, the Power Flow solution in large scale ill-conditioned systems has attracted huge attention. Despite the considerable efforts conducted in this line, this issue may be considered an open topic nowadays. Consequently, the paper aims at filling this gap by proposing a novel robust and efficient Power Flow solution technique inspired by the Romberg’s Integration Scheme. The resulting algorithm is numerically stable and has a computational burden comparable to the Newton’s technique. Several numerical results in different ill-conditioned systems from 3012-, to 13659-bus systems serve to show the performance of the developed method. Other available Power Flow solvers are considered for comparison. In all studied cases, results obtained with the developed method were promising, outperforming the other considered methodologies.

ACS Style

Marcos Tostado-Véliz; Salah Kamel; Francisco Jurado. An efficient and reliable power flow solution method for large scale Ill-conditioned cases based on the Romberg’s integration scheme. International Journal of Electrical Power & Energy Systems 2020, 123, 106264 .

AMA Style

Marcos Tostado-Véliz, Salah Kamel, Francisco Jurado. An efficient and reliable power flow solution method for large scale Ill-conditioned cases based on the Romberg’s integration scheme. International Journal of Electrical Power & Energy Systems. 2020; 123 ():106264.

Chicago/Turabian Style

Marcos Tostado-Véliz; Salah Kamel; Francisco Jurado. 2020. "An efficient and reliable power flow solution method for large scale Ill-conditioned cases based on the Romberg’s integration scheme." International Journal of Electrical Power & Energy Systems 123, no. : 106264.

Conference paper
Published: 01 June 2020 in 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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This paper presents a combined approach based on Real Power Loss Sensitivity Index (RPLSI) and artificial ecosystem-based optimization (AEO) to determine the optimal allocation of Photovoltaic (PV) and Wind Turbine (WT) based distributed generation (DG) units to minimize power loss of the distribution network (DN). RPLSI is used to determine most suitable buses for integrating DG units in RDN. AEO is recently developed optimizer, inspired from the flow of energy in an ecosystem on the earth. The effectiveness of the developed approach is validated on the standard 33-bus RDN. The results obtained by AOE is compared with other meta-heuristic algorithms such as Harris Hawks Optimizer (HHO) and Henry gas solubility optimization (HGSO). The results indicate the better performance of AEO compared with other methods. Accordingly, AEO can be a very favorable method to cope with the optimal DG allocation problem.

ACS Style

Mansur Khasanov; Salah Kamel; Marcos Tostado-Veliz; Francisco Jurado. Allocation of Photovoltaic and Wind Turbine Based DG Units Using Artificial Ecosystem-based Optimization. 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2020, 1 -5.

AMA Style

Mansur Khasanov, Salah Kamel, Marcos Tostado-Veliz, Francisco Jurado. Allocation of Photovoltaic and Wind Turbine Based DG Units Using Artificial Ecosystem-based Optimization. 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 2020; ():1-5.

Chicago/Turabian Style

Mansur Khasanov; Salah Kamel; Marcos Tostado-Veliz; Francisco Jurado. 2020. "Allocation of Photovoltaic and Wind Turbine Based DG Units Using Artificial Ecosystem-based Optimization." 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) , no. : 1-5.

Conference paper
Published: 01 June 2020 in 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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This paper proposes an easy modelling for Interline Power Flow Controller (IPFC) in NEPLAN software. This model can be used in power flow analysis of power systems which include such a device. It is designed so that it can be added to various case studies without excessive calculations. It depends on power injection approach, simply a voltage source and an impedance, which facilitate controlling either injected active power or injected reactive power to the system, or both. This model is tested on IEEE 30-bus and IEEE 14-bus standard systems to assure the robustness and effectiveness in different analysis cases. Besides, for each case, the test conditions are changed so that the model is tested in multiple cases, and its quality is guaranteed for purpose of different power system analysis.

ACS Style

Ayman Awad; Salah Kamel; Marcos Tostado-Véliz; Francisco Jurado. Modeling of IPFC in NEPLAN for Power System Control: A Simple Approach. 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2020, 1 -6.

AMA Style

Ayman Awad, Salah Kamel, Marcos Tostado-Véliz, Francisco Jurado. Modeling of IPFC in NEPLAN for Power System Control: A Simple Approach. 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 2020; ():1-6.

Chicago/Turabian Style

Ayman Awad; Salah Kamel; Marcos Tostado-Véliz; Francisco Jurado. 2020. "Modeling of IPFC in NEPLAN for Power System Control: A Simple Approach." 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) , no. : 1-6.

Journal article
Published: 21 April 2020 in IEEE Systems Journal
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High-order power-flow (PF) solution methods are techniques with higher convergence rate than the standard Newton–Raphson (NR). This feature normally provokes that less iterations are necessary for achieving the required convergence tolerance. This advantage enables important computational savings in realistic large-scale power systems, since some expensive computations may be avoided. This article develops and analyzes a novel family of multistep PF solution techniques. The introduced solution paradigm just involves an LU decomposition along with other cheap computations each iteration. In addition, it is proved that its convergence order is equal to the number of steps considered. A comparison with other high-order PF techniques available in the literature reveals that the introduced paradigm is more efficient when more than three steps are taken. Hence, two PF methods with fourth and fifth convergence rate are developed and validated in 12 systems under different demand conditions. Results prove that the developed PF solution methods are able to notably outperform NR and the other high-order PF solvers proposed in the literature.

ACS Style

Marcos Tostado-Veliz; Salah Kamel; Francisco Jurado. A Novel Family of Efficient Power-Flow Methods With High Convergence Rate Suitable for Large Realistic Power Systems. IEEE Systems Journal 2020, 15, 738 -746.

AMA Style

Marcos Tostado-Veliz, Salah Kamel, Francisco Jurado. A Novel Family of Efficient Power-Flow Methods With High Convergence Rate Suitable for Large Realistic Power Systems. IEEE Systems Journal. 2020; 15 (1):738-746.

Chicago/Turabian Style

Marcos Tostado-Veliz; Salah Kamel; Francisco Jurado. 2020. "A Novel Family of Efficient Power-Flow Methods With High Convergence Rate Suitable for Large Realistic Power Systems." IEEE Systems Journal 15, no. 1: 738-746.