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[EN] The increase in global electricity consumption has made energy efficiency a priority for governments. Consequently, there has been a focus on the efficient integration of a massive penetration of electric vehicles (EVs) into energy markets. This study presents an assessment of various strategies for EV aggregators. In this analysis, the smart charging methodology proposed in a previous study is considered. The smart charging technique employs charging power rate modulation and considers user preferences. To adopt several strategies, this study simulates the effect of these actions in a case study of a distribution system from the city of Quito, Ecuador. Different actions are simulated, and the EV aggregator costs and technical conditions are evaluated. ; All the authors wish to thank Manuel Alcázar Ortega and José Francisco Carbonell Carretero from Universitat Politècnica de València for their contributions to this paper. We also thank the Ministry of Electricity and Renewable Energy of Ecuador (MEER) and Empresa Eléctrica Quito (EEQ) for providing important information for this study. ; Clairand-Gómez, J.; Rodríguez-García, J.; Álvarez, C. (2020). Assessment of Technical and Economic Impacts of EV User Behavior on EV Aggregator Smart Charging. Journal of Modern Power Systems and Clean Energy (Online). 8(2):356-366. https://doi.org/10.35833/MPCE.2018.000840 ; S ; 356 ; 366 ; 8 ; 2

356 366 8 2 ; S ; [EN] The increase in global electricity consumption has made energy efficiency a priority for governments. Consequently, there has been a focus on the efficient integration of a massive penetration of electric vehicles (EVs) into energy markets. This study presents an assessment of various strategies for EV aggregators. In this analysis, the smart charging methodology proposed in a previous study is considered. The smart charging technique employs charging power rate modulation and considers user preferences. To adopt several strategies, this study simulates the effect of these actions in a case study of a distribution system from the city of Quito, Ecuador. Different actions are simulated, and the EV aggregator costs and technical conditions are evaluated. All the authors wish to thank Manuel Alcázar Ortega and José Francisco Carbonell Carretero from Universitat Politècnica de València for their contributions to this paper. We also thank the Ministry of Electricity and Renewable Energy of Ecuador (MEER) and Empresa Eléctrica Quito (EEQ) for providing important information for this study. Clairand-Gómez, J.; Rodríguez-García, J.; Álvarez, C. (2020). Assessment of Technical and Economic Impacts of EV User Behavior on EV Aggregator Smart Charging. Journal of Modern Power Systems and Clean Energy (Online). 8(2):356-366. https://doi.org/10.35833/MPCE.2018.000840

[EN] Inhabited islands depend primarily on fossil fuels for electricity generation and they also present frequently a vehicle fleet, which result in a significant environmental problem. To address this, several governments are investing in the integration of Renewable Energy Sources (RESs) and Electric Vehicles (EVs), but the combined integration of them creates challenges to the operation of these isolated grid systems. Thus, the aim of this paper is to propose an Electric Vehicle charging strategy considering high penetration of RES. The methodology proposes taxing CO mml:semantics>2 /mml:semantics> emissions based on high pricing when the electricity is mostly generated by fossil fuels, and low pricing when there is a RES power excess. The Smart charging methodology for EV optimizes the total costs. Nine scenarios with different installed capacity of solar and wind power generation are evaluated and compared to cases of uncoordinated charging. The methodology was simulated in the Galapagos Islands, which is an archipelago of Ecuador, and recognized by the United Nations Educational, Scientific and Cultural Organization (UNESCO) as both a World Heritage site and a biosphere reserve. Simulations results demonstrate that the EV aggregator could reduce costs: 7.9% for a case of 5 MW installed capacity (wind and PV each), and 7% for a case of 10 MW installed (wind and PV each). Moreover, the use of excess of RES power for EV charging will considerably reduce CO2 emissions. ; This research received no external funding. The APC was funded by Universidad de las Americas-Ecuador. ; Clairand-Gómez, J.; Rodríguez-García, J.; Álvarez, C. (2018). Electric Vehicle Charging Strategy for Isolated Systems with High Penetration of Renewable Generation. Energies. 11(11):1-21. https://doi.org/10.3390/en11113188 ; S ; 1 ; 21 ; 11 ; 11

1 12 6 ; S ; (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works [EN] Most of the road transportation currently depends on fossil fuels, which result in significant environmental and health issues. This is being addressed with the deployment of electric vehicles. However, a massive penetration will lead to new technical and economic challenges for power systems. This paper proposes a novel way to account for the effect of this new load and to minimize the negative impacts by providing new tools for the agent responsible of managing the EV charge in some area (EV aggregator). The proposed method allows EV charging at the lowest cost while complying with technical constraints required by Distribution System Operator (DSO) and Transmission System Operator (TSO). Moreover, EV users are able to choose among different customer choice products (CCPs) that meets their needs in terms of charging time. A case study in the city of Quito (Ecuador) is analyzed in the paper where the advantages of the proposed coordinated charging method are quantified. The model presents cost benefits compared to uncoordinated charging while complying with technical constraints. Additionally, the savings using the presented model are at least 5% higher than uncoordinated charging, and can reach more than 50% at best. Clairand-Gómez, J.; Rodríguez-García, J.; Álvarez, C. (2018). Smart Charging for Electric Vehicle Aggregators considering Users Preferences. IEEE Access. 6:1-12. https://doi.org/10.1109/ACCESS.2018.2872725

[EN] Integration of renewable energy sources require an increase in the flexibility of power systems. Demand response is a valuable flexible resource that is not currently being fully exploited. Small and medium industrial consumers can deliver a wide range of underused flexibility resources associated with the electricity consumption in their production processes. Flexible resources should compete in liberalized operation markets to ensure the reliability of the system at a minimum cost. This paper presents a new tool to assist industrial demand response to participate in operation markets and optimize its value. The tool uses a combined physical-mathematical modelling of the industrial demand response and a Parallel Particle Swarm Optimization algorithm specifically tuned for the proposed problem to maximize the profit. The main advantages of the proposed tool are demonstrated in the paper through its application to the participation of a meat factory in the Spanish tertiary reserve market during a whole year using a quarter-hourly time resolution. The enhanced performance of the proposed tool with respect to previous methodologies is shown with these four flexible processes examples, where the maximum available profit obtained in the simultaneous consideration of all different flexible processes is computed. The flexible processes are technical and economically characterized in a way that makes the tool valid for most of the processes in the industry. ; This work was supported in part by the Primeros Proyectos de Investigacion under Grant PAID-06-18, in part by the Vicerrectorado de Investigacion, Innovacion y Transferencia de la Universitat Politecnica de Valencia (UPV) Valencia-Spain, Generalitat Valenciana through the Research Project under Grant AICO/2019/001, in part by the Spanish Administration under Grant FPU2016/00962, in part by the AEI/10.13039/501100011033 (Ministerio de Ciencia, Innovacion y Universidades, Spanish Government) through the Research Projects under Grant ENE-2016-78509-C3-1-P and ...

[EN] A transition to a sustainable energy system is essential. In this context, smart grids represent the future of power systems for efficiently integrating renewable energy sources and active consumer participation. Recently, different studies were performed that defined the conceptual architecture of power systems and their agents. However, these conceptual architectures do not overcome all issues for the development of new electricity markets. Thus, a novel conceptual architecture is proposed. The transactions of energy, operation services, and economic flows among the agents proposed are carefully analysed. In this regard, the results allow setting their activities' boundaries and state their relationships with electricity markets. The suitability of implementing local electricity markets is studied to enforce competition among distributed energy resources by unlocking all the potential that active consumers have. The proposed architecture is designed to offer flexibility and efficiency to the system thanks to a clearly defined way for the exploitation of flexible resources and distributed generation. This upgraded architecture hereby proposed establishes the characteristics of each agent in the forthcoming markets and studies to overcome the barriers to the large deployment of renewable energy sources. ; This work was supported by the Ministerio de Economia, Industria, y Competitividad (Spanish Government) under research project ENE-2016-78509-C3-1-P, and EU FEDER funds. The authors received funds from these grants for covering the costs to publish in open access. This work was also supported by the Spanish Ministry of Education under the scholarship FPU16/00962. ; Rodríguez-García, J.; Ribó-Pérez, DG.; Álvarez, C.; Peñalvo-López, E. (2019). Novel Conceptual Architecture for the Next-Generation Electricity Markets to Enhance a Large Penetration of Renewable Energy. Energies. 12(13):1-23. https://doi.org/10.3390/en12132605 ; S ; 1 ; 23 ; 12 ; 13 ; Gabaldón, A., Guillamón, A., Ruiz, M. C., Valero, S., ...

[EN] Current energy policies around the world are encouraging integration of renewable electricity generation into the power system. However, these resources are so unpredictable and variable that the need of more flexible resources increases. Demand Response (DR) resources may be a realistic solution, but increasing the credibility among agents by means of the standardization of DR procedures is necessary. This paper proposes a methodology based on an energy analysis of industrial processes to quantify and validate the flexibility potential of industrial customers in order to contribute to create a certification procedure. This methodology can be helpful for industrial customers themselves, energy service companies (ESCO) and DR aggregators, among others. The methodology was validated in three different factories whose industrial segments have a high-energy intensity in Europe: a paper factory (Klingele, Germany), a meat factory and a refrigerated logistics centre (Campofrio, Spain). ; This work was developed under the framework of DRIP project (11ENV/DE/340) and it was co-funded by European Commission through LIFE Environment Programme, Spanish Government Grants (ENE2013-48574-C1-2-P) and EU FEDER funds. The co-authors deeply thank all the participants involved in the cited project for their help and support that made possible this work, especially to Klingele Papierwerke GmbH & Co., KG and Campofrio Food Group S.A. ; Rodríguez-García, J.; Álvarez, C.; Carbonell-Carretero, J.; Escrivá-Escrivá, G.; Calpe Esteve, CM. (2018). Design and validation of a methodology for standardizing prequalification of industrial demand response resources. Electric Power Systems Research. 164:220-229. https://doi.org/10.1016/j.epsr.2018.08.003 ; S ; 220 ; 229 ; 164

[EN] Many electric utilities currently have a low level of smart meter implementation on traditional distribution grids. These utilities commonly have a problem associated with non-technical energy losses (NTLs) to unidentified energy flows consumed, but not billed in power distribution grids. They are usually due to either the electricity theft carried out by their own customers or failures in the utilities' energy measurement systems. Non-technical energy losses lead to significant economic losses for electric utilities around the world. For instance, in Latin America and the Caribbean countries, NTLs represent around 15% of total energy generated in 2018, varying between 5 and 30% depending on the country because of the strong correlation with social, economic, political, and technical variables. According to this, electric utilities have a strong interest in finding new techniques and methods to mitigate this problem as much as possible. This research presents the results of determining with the precision of the existing data-oriented methods for detecting NTL through a methodology based on data analytics, machine learning, and artificial intelligence (multivariate data, analysis methods, classification, grouping algorithms, i.e., k-means and neural networks). The proposed methodology was implemented using the MATLAB computational tool, demonstrating improvements in the probability to identify the suspected customer's measurement systems with error in their records that should be revised to reduce the NTLs in the distribution system and using the information from utilities' databases associated with customer information (customer information system), the distribution grid (geographic information system), and socio-economic data. The proposed methodology was tested and validated in a real situation as a part of a recent Ecuadorian electric project. ; This research received funding from the project Smart GrI+D+i from the Universidad Catolica de Cuenca in Ecuador. ; Toledo-Orozco, M.; Arias-Marin, C.; Álvarez, ...