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Increases in the energy costs of irrigation water pumping facilities puts the economic sustainability of recent investments in the modernization of farms at risk. To address this problem, it is essential to apply renewable technologies for the production of electricity, and photovoltaic energy is particularly attractive due to its lower cost and recent technological advances. The aim of this research is to develop a mathematical techno-economic dispatch model that optimizes the hourly schedule of pumping equipment subject to electrical and hydraulic constraints to minimize the weekly operating costs of a real pumping station. The resulting model is formulated as a mixed-integer nonlinear programming problem that determines the optimal hourly combination of pumping equipment and available resources to meet water and energy needs. The proposed model comprises fixed and variable speed pumps, a grid-connected photovoltaic plant, and two water ponds for internal regulation and storage. The results verify that the combination of self-consumption photovoltaic facilities and variable speed drives make it possible to maximize the percentage of self-consumed energy up to 99.41% during the month with the highest demand for water. In this case, the pumping station reduces its energy costs by 21.56%, in addition to improving water management.
Natalia Naval; Jose M. Yusta. Optimal short-term water-energy dispatch for pumping stations with grid-connected photovoltaic self-generation. Journal of Cleaner Production 2021, 316, 128386 .
AMA StyleNatalia Naval, Jose M. Yusta. Optimal short-term water-energy dispatch for pumping stations with grid-connected photovoltaic self-generation. Journal of Cleaner Production. 2021; 316 ():128386.
Chicago/Turabian StyleNatalia Naval; Jose M. Yusta. 2021. "Optimal short-term water-energy dispatch for pumping stations with grid-connected photovoltaic self-generation." Journal of Cleaner Production 316, no. : 128386.
In recent years, the integration of distributed generation in power systems has been accompanied by new facility operations strategies. Thus, it has become increasingly important to enhance management capabilities regarding the aggregation of distributed electricity production and demand through different types of virtual power plants (VPPs). It is also important to exploit their ability to participate in electricity markets to maximize operating profits. This review article focuses on the classification and in-depth analysis of recent studies that propose VPP models including interactions with different types of energy markets. This classification is formulated according to the most important aspects to be considered for these VPPs. These include the formulation of the model, techniques for solving mathematical problems, participation in different types of markets, and the applicability of the proposed models to real case studies. From the analysis of the studies, it is concluded that the most recent models tend to be more complete and realistic in addition to featuring greater diversity in the types of electricity markets in which VPPs participate. The aim of this review is to identify the most profitable VPP scheme to be applied in each regulatory environment. It also highlights the challenges remaining in this field of study.
Natalia Naval; Jose M. Yusta. Virtual power plant models and electricity markets - A review. Renewable and Sustainable Energy Reviews 2021, 149, 111393 .
AMA StyleNatalia Naval, Jose M. Yusta. Virtual power plant models and electricity markets - A review. Renewable and Sustainable Energy Reviews. 2021; 149 ():111393.
Chicago/Turabian StyleNatalia Naval; Jose M. Yusta. 2021. "Virtual power plant models and electricity markets - A review." Renewable and Sustainable Energy Reviews 149, no. : 111393.
Renewable energy sources and cross-border electrical interconnections can significantly impact the security of the supply of power systems. This article jointly analyses the reliability and vulnerability of electrical networks to quantify systems' performance by increasing and decreasing renewable resources and the degree of coupling of electrical infrastructures. This comparison seeks to measure the influence of renewable generation and the impact of interconnection lines on the operational behaviour of systems under different types of contingencies or disturbances. The reliability assessment is performed using PLEXOS, and the vulnerability assessment is carried out with a network disintegration procedure implemented in MATLAB. Here, different statistical indices of the networks are measured. The procedures are applied sequentially in six case studies with different generation mixes and interconnection lines based on the well-known IEEE RTS-96 and IEEE RTS-GMLC test networks. From the analysed cases, the resulting tables and graphs obtained from the simulation are presented, and the joint impact from the two perspectives is compared. The results obtained show that renewable sources have a greater impact on reliability and that electrical interconnections impact both reliability and vulnerability. These conclusions highlight the importance of analysing the operational security of infrastructures taking into account both approaches simultaneously.
Jesus Beyza; Jose M. Yusta. The effects of the high penetration of renewable energies on the reliability and vulnerability of interconnected electric power systems. Reliability Engineering & System Safety 2021, 215, 107881 .
AMA StyleJesus Beyza, Jose M. Yusta. The effects of the high penetration of renewable energies on the reliability and vulnerability of interconnected electric power systems. Reliability Engineering & System Safety. 2021; 215 ():107881.
Chicago/Turabian StyleJesus Beyza; Jose M. Yusta. 2021. "The effects of the high penetration of renewable energies on the reliability and vulnerability of interconnected electric power systems." Reliability Engineering & System Safety 215, no. : 107881.
Electric power systems are prone to disturbances and contingencies, which can trigger cascading failures with severe consequences for society. These undesirable events could disintegrate the electrical infrastructure in areas with disconnected elements. In this article, we propose a novel procedure to restore a collapsed power grid composed of multiple islands and isolated assets. The framework developed identifies the power lines to be closed during the electrical network recovery stages. In the latter, link overload limits and generation thresholds are taken into account. Two disintegrated networks based on the well-known IEEE 57-bus test system are built to demonstrate the performance of our proposal. In summary, this methodology provides a solution to recover the power system optimally and reliably.
Jesus Beyza; Jose M. Yusta; Hector F. Ruiz-Paredes; Eduardo Garcia-Paricio. A Novel Framework Based on Mixed-Integer Linear Programming to Restore a Disintegrated Power Grid after Cascading Failures. IEEE Latin America Transactions 2021, 19, 669 -678.
AMA StyleJesus Beyza, Jose M. Yusta, Hector F. Ruiz-Paredes, Eduardo Garcia-Paricio. A Novel Framework Based on Mixed-Integer Linear Programming to Restore a Disintegrated Power Grid after Cascading Failures. IEEE Latin America Transactions. 2021; 19 (4):669-678.
Chicago/Turabian StyleJesus Beyza; Jose M. Yusta; Hector F. Ruiz-Paredes; Eduardo Garcia-Paricio. 2021. "A Novel Framework Based on Mixed-Integer Linear Programming to Restore a Disintegrated Power Grid after Cascading Failures." IEEE Latin America Transactions 19, no. 4: 669-678.
Power systems face failures, attacks and natural disasters on a daily basis, making robustness and resilience an important topic. In an electrical network, robustness is a network’s ability to withstand and fully operate under the effects of failures, while resilience is the ability to rapidly recover from such disruptive events and adapt its structure to mitigate the impact of similar events in the future. This paper presents an integrated framework for jointly assessing these concepts using two complementary algorithms. The robustness model, which is based on a cascading failure algorithm, quantifies the degradation of the power network due to a cascading event, incorporating the circuit breaker protection mechanisms of the power lines. The resilience model is posed as a mixed-integer optimisation problem and uses the previous disintegration state to determine both the optimal dispatch and topology at each restoration stage. To demonstrate the applicability of the proposed framework, the IEEE 118-bus test network is used as a case study. Analyses of the impact of variations in both generation and load are provided for 10 simulation scenarios to illustrate different network operating conditions. The results indicate that a network’s recovery could be related to the overload capacity of the power lines. In other words, a power system with high overload capacity can withstand higher operational stresses, which is related to increased robustness and a faster recovery process.
Jesus Beyza; Jose Yusta. Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures. Energies 2021, 14, 2028 .
AMA StyleJesus Beyza, Jose Yusta. Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures. Energies. 2021; 14 (7):2028.
Chicago/Turabian StyleJesus Beyza; Jose Yusta. 2021. "Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures." Energies 14, no. 7: 2028.
The production of hydrogen through water electrolysis is a promising pathway to decarbonize the energy sector. This paper presents a techno-economic model of electrolysis plants based on multiple states of operation: production, hot standby and idle. The model enables the calculation of the optimal hourly dispatch of electrolyzers to produce hydrogen for different end uses. This model has been tested with real data from an existing installation and compared with a simpler electrolyzer model that is based on two states. The results indicate that an operational strategy that considers the multi-state model leads to a decrease in final hydrogen production costs. These reduced costs will benefit businesses, especially while electrolysis plants grow in size to accommodate further increases in demand.
G. Matute; J.M. Yusta; J. Beyza; L.C. Correas. Multi-state techno-economic model for optimal dispatch of grid connected hydrogen electrolysis systems operating under dynamic conditions. International Journal of Hydrogen Energy 2020, 46, 1449 -1460.
AMA StyleG. Matute, J.M. Yusta, J. Beyza, L.C. Correas. Multi-state techno-economic model for optimal dispatch of grid connected hydrogen electrolysis systems operating under dynamic conditions. International Journal of Hydrogen Energy. 2020; 46 (2):1449-1460.
Chicago/Turabian StyleG. Matute; J.M. Yusta; J. Beyza; L.C. Correas. 2020. "Multi-state techno-economic model for optimal dispatch of grid connected hydrogen electrolysis systems operating under dynamic conditions." International Journal of Hydrogen Energy 46, no. 2: 1449-1460.
The European Union (EU) is highly dependent on external natural gas supplies and has experienced severe gas cuts in the past, mainly driven by the technical complexity of the high-pressure natural gas system and political instability in some of the supplier countries. Declining indigenous natural gas production and growing demand for gas in the EU has encouraged investments in cross-border transmission capacity to increase the sharing of resources between the member states, particularly in the aftermath of the Russia–Ukraine gas crisis in January 2009. This article models the EU interconnected natural gas system to assess the impact of investments in the gas transmission network by comparing the performance of the system for scenarios of 2009 and 2017, using a mathematical optimization approach. The model uses the technical data of the infrastructures, such as production, storage, regasification, and exchange capacity through cross-border pipelines, and proposes an optimal collaborative strategy which ensures the best possible coverage of overall demand. The actual peak demand situations of the extreme cases of 2009 and 2017 are analyzed under hypothetical supply crises caused by geopolitical or commercial disputes. The application of the proposed methodology leads to results which show that the investments made in this system do not decongest the cross-border pipeline network but improve the demand coverage. Countries such as Spain and Italy experience a lower impact on gas supply due to the variety of mechanisms available to cover their demand. Furthermore, the findings prove that cooperation facilitates the supply of demand in crisis situations.
Yassine Rqiq; Jesus Beyza; Jose M. Yusta; Ricardo Bolado-Lavin. Assessing the Impact of Investments in Cross-Border Pipelines on the Security of Gas Supply in the EU. Energies 2020, 13, 2913 .
AMA StyleYassine Rqiq, Jesus Beyza, Jose M. Yusta, Ricardo Bolado-Lavin. Assessing the Impact of Investments in Cross-Border Pipelines on the Security of Gas Supply in the EU. Energies. 2020; 13 (11):2913.
Chicago/Turabian StyleYassine Rqiq; Jesus Beyza; Jose M. Yusta; Ricardo Bolado-Lavin. 2020. "Assessing the Impact of Investments in Cross-Border Pipelines on the Security of Gas Supply in the EU." Energies 13, no. 11: 2913.
The effects of climate change seriously affect agriculture at different latitudes of the planet because periods of drought are intensifying and the availability of water for agricultural irrigation is reducing. In addition, the energy cost associated with pumping water has increased notably in recent years due to, among other reasons, the maximum demand charges that are applied annually according to the contracted demand in each facility. Therefore, very efficient management of both water resources and energy resources is required. This article proposes the integration of water-energy management in a virtual power plant (VPP) model for the optimization of energy costs and maximum demand charges. For the development of the model, a problem related to the optimal operation of electricity generation and demand resources arises, which is formulated as a nonlinear mixed-integer programming model (MINLP). The objective is to maximize the annual operating profit of the VPP. It is worth mentioning that the model is applied to a large irrigation system using real data on consumption and power generation, exclusively renewable. In addition, different scenarios are analyzed to evaluate the variability of the operating profit of the VPP with and without intraday demand management as well as the influence of the wholesale electricity market price on the model. In view of the results obtained, the model that integrates the management of the water-energy binomial increases the self-consumption of renewable energy and saves electricity supply costs.
Natalia Naval; Jose M. Yusta. Water-Energy Management for Demand Charges and Energy Cost Optimization of a Pumping Stations System under a Renewable Virtual Power Plant Model. Energies 2020, 13, 2900 .
AMA StyleNatalia Naval, Jose M. Yusta. Water-Energy Management for Demand Charges and Energy Cost Optimization of a Pumping Stations System under a Renewable Virtual Power Plant Model. Energies. 2020; 13 (11):2900.
Chicago/Turabian StyleNatalia Naval; Jose M. Yusta. 2020. "Water-Energy Management for Demand Charges and Energy Cost Optimization of a Pumping Stations System under a Renewable Virtual Power Plant Model." Energies 13, no. 11: 2900.
Wind energy has grown from less than 20 gigawatts (GW) in 2000 to 590 GW by the end of 2018 and already provides 6% of the electricity consumed in the world. During this period, the wind energy technology industry has evolved from a local to a global business. To illustrate the globalization of this sector, this research assesses the effectiveness of the firms’ international strategies based on empirical indicators. The intensity, the speed of internationalization, the geographic extensity and diversification are calculated and analyzed. The results indicate that the most successful firms are the market leaders Vestas and Siemens Gamesa Renewable Energy, and they are characterized by leading in both the depth (sales abroad/total sales) and width (number of countries) of internationalization as well as in geographic diversification. These companies are closely followed by four European and American firms: Enercon, Nordex, General Electric and Senvion. To date, Chinese firms, leaders in the largest market (China), are in general unable to internationalize as effectively as firms from other constituencies. Our results reveal that strong rivalry pressure in the domestic market is not a guarantee for the international competitiveness of its best-performing firms in the case of the wind energy industry – unless there are special characteristics in that domestic market.
Jose M. Yusta; Roberto Lacal-Arántegui. Measuring the internationalization of the wind energy industry. Renewable Energy 2020, 157, 593 -604.
AMA StyleJose M. Yusta, Roberto Lacal-Arántegui. Measuring the internationalization of the wind energy industry. Renewable Energy. 2020; 157 ():593-604.
Chicago/Turabian StyleJose M. Yusta; Roberto Lacal-Arántegui. 2020. "Measuring the internationalization of the wind energy industry." Renewable Energy 157, no. : 593-604.
This paper analyzes the drivers behind the changes of the Aggregate Carbon Intensity (ACI) of Latin America and the Caribbean (LAC) power sector in five periods between 1990 and 2017. Since 1990 the carbon intensity of the world has been reduced almost 8.8% whereas the carbon intensity of LAC countries only decreased 0.8%. Even though by 2017 the regional carbon intensity is very similar to the one observed by 1990, this index has showed high variability, mainly in the last three years when the ACI of LAC fell from 285 gCO2/kWh in 2015 to 257.7 gCO2/kWh. To understand what happened with the evolution of the carbon intensity in the region, in this paper a Logarithmic Mean Divisia for Index Decomposition Analysis (IDA-LMDI) is carried out to identify the accelerating and attenuating drivers of the ACI behavior along five periods. The proposal outperforms existing studies previously applied to LAC based upon a single period of analysis. Key contributions are introduced by considering the type of fuel used in power plants as well as specific time-series of energy flows and CO2 emissions by country. Results reveal structural reasons for the increase of the ACI in 1995–2003 and 2008–2015, and intensity reasons for the decrease of the ACI in 1990–1995, 2003–2008 and 2015–2017.
Paulo M. De Oliveira-De Jesus; Jhon J. Galvis; Daniela Rojas-Lozano; Jose M. Yusta. Multitemporal LMDI Index Decomposition Analysis to Explain the Changes of ACI by the Power Sector in Latin America and the Caribbean between 1990–2017. Energies 2020, 13, 2328 .
AMA StylePaulo M. De Oliveira-De Jesus, Jhon J. Galvis, Daniela Rojas-Lozano, Jose M. Yusta. Multitemporal LMDI Index Decomposition Analysis to Explain the Changes of ACI by the Power Sector in Latin America and the Caribbean between 1990–2017. Energies. 2020; 13 (9):2328.
Chicago/Turabian StylePaulo M. De Oliveira-De Jesus; Jhon J. Galvis; Daniela Rojas-Lozano; Jose M. Yusta. 2020. "Multitemporal LMDI Index Decomposition Analysis to Explain the Changes of ACI by the Power Sector in Latin America and the Caribbean between 1990–2017." Energies 13, no. 9: 2328.
This paper proposes a management strategy for the daily operation of an isolated hybrid energy system (HES) using heuristic techniques. Incorporation of heuristic techniques to the optimal scheduling in day-head basis allows us to consider the complex characteristics of a specific battery energy storage system (BESS) and the associated electronic converter efficiency. The proposed approach can determine the discharging time to perform the load peak-shaving in an appropriate manner. A recently proposed version of binary particle swarm optimization (BPSO), which incorporates a time-varying mirrored S-shaped (TVMS) transfer function, is proposed for day-ahead scheduling determination. Day-ahead operation and greenhouse gas (GHG) emissions are studied through different operating conditions. The complexity of the optimization problem depends on the available wind resource and its relationship with load profile. In this regard, TVMS-BPSO has important capabilities for global exploration and local exploitation, which makes it a powerful technique able to provide a high-quality solution comparable to that obtained from a genetic algorithm.
Juan M. Lujano-Rojas; José M. Yusta; Jesús Sergio Artal-Sevil; José Antonio Domínguez-Navarro. Day-Ahead Optimal Battery Operation in Islanded Hybrid Energy Systems and Its Impact on Greenhouse Gas Emissions. Applied Sciences 2019, 9, 5221 .
AMA StyleJuan M. Lujano-Rojas, José M. Yusta, Jesús Sergio Artal-Sevil, José Antonio Domínguez-Navarro. Day-Ahead Optimal Battery Operation in Islanded Hybrid Energy Systems and Its Impact on Greenhouse Gas Emissions. Applied Sciences. 2019; 9 (23):5221.
Chicago/Turabian StyleJuan M. Lujano-Rojas; José M. Yusta; Jesús Sergio Artal-Sevil; José Antonio Domínguez-Navarro. 2019. "Day-Ahead Optimal Battery Operation in Islanded Hybrid Energy Systems and Its Impact on Greenhouse Gas Emissions." Applied Sciences 9, no. 23: 5221.
Volatility and sharp increases in the price of electricity are serious economic problems in the primary sector because they affect modernization investments for irrigation systems in Spain. This paper presents a new virtual power plant (VPP) model that integrates all available full-scale distributed renewable generation technologies. The proposed VPP operates as a single plant in the wholesale electricity market and aims to maximize profit from its operation to meet demand. Two levels of renewable energy integration in the VPP were considered: first, a wind farm and six hydroelectric power plants that inject the generated electricity directly to the distribution network, and second, on-site photovoltaic plants associated with each of the electricity supply points in the system that are designed to prioritize self-consumption. The proposed technical-economic dispatch model was developed as a mixed-integer optimization problem that determines the hourly operation of distributed large-scale renewable generation plants and on-site generation plants. The model was applied to real data from an irrigation system comprising a number of water pumping stations in Aragon (Spain). The results of the VPP model demonstrate the importance of the technical and economic management of all production facilities to significantly reduce grid dependence and final electricity costs.
Natalia Naval; Raul Sánchez; Jose M. Yusta. A virtual power plant optimal dispatch model with large and small-scale distributed renewable generation. Renewable Energy 2019, 151, 57 -69.
AMA StyleNatalia Naval, Raul Sánchez, Jose M. Yusta. A virtual power plant optimal dispatch model with large and small-scale distributed renewable generation. Renewable Energy. 2019; 151 ():57-69.
Chicago/Turabian StyleNatalia Naval; Raul Sánchez; Jose M. Yusta. 2019. "A virtual power plant optimal dispatch model with large and small-scale distributed renewable generation." Renewable Energy 151, no. : 57-69.
Fault analysis of modern power systems cannot be only addressed on classical reliability techniques but also considering the impact of cascading failures. This study proposes an original integrated approach for the risk management of a power system subject to random contingencies by using vulnerability and reliability quantitative measures. Five different systems based on the IEEE-RTS have been studied from the vulnerability and reliability perspectives. According to the calculation carried out and the multi-criteria decision making (MCDM) method applied to better consider the integration of both concepts, the vulnerability and reliability perspectives are complementary viewpoints that can help to design a more robust critical infrastructure.
Amin Abedi; Jesus Beyza; Franco Romerio; Jose A. Dominguez‐Navarro; Jose M. Yusta. MCDM approach for the integrated assessment of vulnerability and reliability of power systems. IET Generation, Transmission & Distribution 2019, 13, 4741 -4746.
AMA StyleAmin Abedi, Jesus Beyza, Franco Romerio, Jose A. Dominguez‐Navarro, Jose M. Yusta. MCDM approach for the integrated assessment of vulnerability and reliability of power systems. IET Generation, Transmission & Distribution. 2019; 13 (20):4741-4746.
Chicago/Turabian StyleAmin Abedi; Jesus Beyza; Franco Romerio; Jose A. Dominguez‐Navarro; Jose M. Yusta. 2019. "MCDM approach for the integrated assessment of vulnerability and reliability of power systems." IET Generation, Transmission & Distribution 13, no. 20: 4741-4746.
Gas and electricity transmission systems are increasingly interconnected, and an attack on certain assets can cause serious energy supply disruptions, as stated in recommendation (EU) 2019/553 on cybersecurity in the energy sector, recently approved by the European Commission. This study aims to assess the vulnerability of coupled natural gas and electricity infrastructures and proposes a method based on graph theory that incorporates the effects of interdependencies between networks. This study is built in a joint framework, where two different attack strategies are applied to the integrated systems: (1) disruptions to facilities with most links and (2) disruptions to the most important facilities in terms of flow. The vulnerability is measured after each network attack by quantifying the unmet load (UL) through a power flow analysis and calculating the topological damage of the systems with the geodesic vulnerability (v¯) index. The proposed simulation framework is applied to a case study that consists of the IEEE 118-bus test system and a 25-node high-pressure natural gas network, where both are coupled through seven gas-fired power plants (GFPPs) and three electric compressors (ECs). The methodology is useful for estimating vulnerability in both systems in a coupled manner, studying the propagation of interdependencies in the two networks and showing the applicability of the v¯ index as a substitute for the UL index.
Jesus Beyza; Hector F. Ruiz-Paredes; Eduardo Garcia-Paricio; Jose M. Yusta. Assessing the criticality of interdependent power and gas systems using complex networks and load flow techniques. Physica A: Statistical Mechanics and its Applications 2019, 540, 123169 .
AMA StyleJesus Beyza, Hector F. Ruiz-Paredes, Eduardo Garcia-Paricio, Jose M. Yusta. Assessing the criticality of interdependent power and gas systems using complex networks and load flow techniques. Physica A: Statistical Mechanics and its Applications. 2019; 540 ():123169.
Chicago/Turabian StyleJesus Beyza; Hector F. Ruiz-Paredes; Eduardo Garcia-Paricio; Jose M. Yusta. 2019. "Assessing the criticality of interdependent power and gas systems using complex networks and load flow techniques." Physica A: Statistical Mechanics and its Applications 540, no. : 123169.
The use of hydrogen as energy carrier is a promising option to decarbonize both energy and transport sectors. This paper presents an advanced techno-economic model for calculation of optimal dispatch of large-scale multi MW electrolysis plants in order to obtain a more accurate evaluation of the feasibility of business cases related to the supply of this fuel for different end uses combined with grid services' provision. The model is applied to the Spanish case using different scenarios to determine the minimum demand required from the FCEV market so that electrolysis facilities featuring several MW result in profitable business cases. The results show that grid services contribute to the profitability of hydrogen production for mobility, given a minimum but considerable demand from FCEV fleets.
G. Matute; J.M. Yusta; Luis Correas. Techno-economic modelling of water electrolysers in the range of several MW to provide grid services while generating hydrogen for different applications: A case study in Spain applied to mobility with FCEVs. International Journal of Hydrogen Energy 2019, 44, 17431 -17442.
AMA StyleG. Matute, J.M. Yusta, Luis Correas. Techno-economic modelling of water electrolysers in the range of several MW to provide grid services while generating hydrogen for different applications: A case study in Spain applied to mobility with FCEVs. International Journal of Hydrogen Energy. 2019; 44 (33):17431-17442.
Chicago/Turabian StyleG. Matute; J.M. Yusta; Luis Correas. 2019. "Techno-economic modelling of water electrolysers in the range of several MW to provide grid services while generating hydrogen for different applications: A case study in Spain applied to mobility with FCEVs." International Journal of Hydrogen Energy 44, no. 33: 17431-17442.
Integration of renewable generation in distribution systems aims to reduce consumption of energy from conventional sources such as coal and oil in order to minimize the negative impacts of the human ecological footprint. Massive incorporation of renewables can produce reverse power flow at distribution substations, which is against the operating philosophy and design of energy systems. To deal with this problem, the installation of a battery energy storage system (BESS) is proposed in this work. Incorporation of BESS at distribution substations can manage the excess of renewable power generation flowing in reverse, adding flexibility to the power system and allowing increased distributed generation capacity to be installed. Optimal sizing of vanadium redox flow batteries (VRFBs) is carried out by using golden section search algorithm considering capital costs as well as operating and maintenance costs over the project lifetime. The effectiveness of the proposed technique is evaluated through the analysis of a case study. A significant reduction of both reverse flow and the power to be supplied by the substation has been observed.
Juan. M. Lujano-Rojas; Jose A. Dominguez-Navarro; Jose M. Yusta; Gerardo J. Osorio; Mohamed Lotfi; João P. S. Catalão. Massive Integration of Wind Power at Distribution Level Supported by Battery Energy Storage Systems. 2019 IEEE Milan PowerTech 2019, 1 -6.
AMA StyleJuan. M. Lujano-Rojas, Jose A. Dominguez-Navarro, Jose M. Yusta, Gerardo J. Osorio, Mohamed Lotfi, João P. S. Catalão. Massive Integration of Wind Power at Distribution Level Supported by Battery Energy Storage Systems. 2019 IEEE Milan PowerTech. 2019; ():1-6.
Chicago/Turabian StyleJuan. M. Lujano-Rojas; Jose A. Dominguez-Navarro; Jose M. Yusta; Gerardo J. Osorio; Mohamed Lotfi; João P. S. Catalão. 2019. "Massive Integration of Wind Power at Distribution Level Supported by Battery Energy Storage Systems." 2019 IEEE Milan PowerTech , no. : 1-6.
In this study, the operation of an energy system composed of a battery energy storage system (BESS) and a conventional generator to compensate the forecasting error of renewable power production has been analyzed. A scenario with low forecasting error and another with high forecasting error have been synthetically modeled and incorporated to a computational model of the energy system. The results obtained from a case study suggest that a low forecasting error could be compensated by a single BESS. However, a high forecasting error would require the installation of a controllable power source such as a conventional generator.
Juan. M. Lujano-Rojas; Jose A. Dominguez-Navarro; Jose M. Yusta; Gerardo J. Osorio; Sérgio Santos; Mohamed Lotfi; Joao P. S. Catalao. Analyzing the Role of Microgrids to Mitigate the Effects of Forecasting Error of Renewable Distributed Generators. 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2019, 1 -6.
AMA StyleJuan. M. Lujano-Rojas, Jose A. Dominguez-Navarro, Jose M. Yusta, Gerardo J. Osorio, Sérgio Santos, Mohamed Lotfi, Joao P. S. Catalao. Analyzing the Role of Microgrids to Mitigate the Effects of Forecasting Error of Renewable Distributed Generators. 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 2019; ():1-6.
Chicago/Turabian StyleJuan. M. Lujano-Rojas; Jose A. Dominguez-Navarro; Jose M. Yusta; Gerardo J. Osorio; Sérgio Santos; Mohamed Lotfi; Joao P. S. Catalao. 2019. "Analyzing the Role of Microgrids to Mitigate the Effects of Forecasting Error of Renewable Distributed Generators." 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) , no. : 1-6.
Electrical interconnections between countries are needed to improve reliability, security, and stability but increase the risk of a disruption in one country propagating to the neighbouring countries, as has already happened in different power supply interruption events in large regional areas. In this article, we demonstrate that power networks increase their vulnerability against cascading failure events when they are weakly interconnected, such as by a single power line. In these cases, the results obtained indicate that it is better to interconnect isolated systems with at least two or more transmission lines. To demonstrate the above, we use the IEEE 24-bus RTS test system network as a benchmark, from which we extract six combinations that are equivalent to 18 different topologies. The results obtained in this article can help to better comprehend the vulnerability of interconnected power systems.
Jesus Beyza; Jose A. Dominguez-Navarro; Jose M. Yusta. Effect of Interconnection Lines on the Vulnerability of Power Systems. 2019 IEEE Milan PowerTech 2019, 1 -6.
AMA StyleJesus Beyza, Jose A. Dominguez-Navarro, Jose M. Yusta. Effect of Interconnection Lines on the Vulnerability of Power Systems. 2019 IEEE Milan PowerTech. 2019; ():1-6.
Chicago/Turabian StyleJesus Beyza; Jose A. Dominguez-Navarro; Jose M. Yusta. 2019. "Effect of Interconnection Lines on the Vulnerability of Power Systems." 2019 IEEE Milan PowerTech , no. : 1-6.
The evolution of renewable energies and their adoption by the traditional energy system (ES) under the role of distributed generation has driven the interest to management strategies based on distributed algorithms. In this sense, simulation and optimization models able to integrate the intermittent behaviour of wind and solar generation into ES model have become a necessity, in order to incorporate the interactions between power sources and the communication infrastructure in an effective manner. In this paper, a simulation model based on consensus algorithm for the optimal management of autonomous system is described. Important features related to the generation cost and the availability of renewable resources are discussed by means of a case study of a microgrid located in Zaragoza, Spain.
Xiaosheng Wang; Li Lingbo; Juan M. Lujano-Rojas; Jesús Sergio Artal Sevil; Jose M. Yusta; Jose Antonio Dominguez-Navarro. Economic Dispatch of Microgrid based on Multi-Agent System. 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) 2019, 1 -6.
AMA StyleXiaosheng Wang, Li Lingbo, Juan M. Lujano-Rojas, Jesús Sergio Artal Sevil, Jose M. Yusta, Jose Antonio Dominguez-Navarro. Economic Dispatch of Microgrid based on Multi-Agent System. 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER). 2019; ():1-6.
Chicago/Turabian StyleXiaosheng Wang; Li Lingbo; Juan M. Lujano-Rojas; Jesús Sergio Artal Sevil; Jose M. Yusta; Jose Antonio Dominguez-Navarro. 2019. "Economic Dispatch of Microgrid based on Multi-Agent System." 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) , no. : 1-6.
This article proposes a procedure based on graph theory to identify critical assets in integrated natural gas and electricity infrastructures. In order to validate the results achieved with the graph-based approach, the technique of coupled electricity and gas flows is also used. The criticality level of each node is calculated using the geodesic vulnerability topological index and the classification is determined via a dimensionless measure called damage area. This measure quantifies the performance under cascading failures following the removal of each asset. The methodology is applied to an infrastructure system composed of an IEEE network of 118 buses and a natural gas system of 25 nodes and three compressors, resulting in 557 different case studies. As a conclusion, it is demonstrated that graph theory can be useful and accurate in evaluating and identifying the most critical assets of interdependent electricity and natural gas infrastructures.
Jesus Beyza; Eduardo Garcia-Paricio; Jose M. Yusta. Ranking critical assets in interdependent energy transmission networks. Electric Power Systems Research 2019, 172, 242 -252.
AMA StyleJesus Beyza, Eduardo Garcia-Paricio, Jose M. Yusta. Ranking critical assets in interdependent energy transmission networks. Electric Power Systems Research. 2019; 172 ():242-252.
Chicago/Turabian StyleJesus Beyza; Eduardo Garcia-Paricio; Jose M. Yusta. 2019. "Ranking critical assets in interdependent energy transmission networks." Electric Power Systems Research 172, no. : 242-252.