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In this paper, the optimization of transmission insulation and grounding is performed considering two backflashover rate (BFR) evaluation procedures widely applied in the industry. The optimization approach is based on the Lagrange formulation introduced by Hileman in late sixties. This method used the old AIEE procedure to evaluate the BFR of transmission lines. Since then a number of BFR evaluation are available to determine BFR rates outperforming legacy procedures. Recently, the Hileman’s optimization method was updated using the EPRI two-point method to evaluate the BFR. However, despite the step-by-step EPRI method being still widely used in industry, stochastic simulation with specialized programs is becoming standard. Thus, in this paper, the insulation and grounding optimization methodology is updated using more adequate and recent BFR evaluation procedures such as the IEEE Std. 1243-97 and the Monte Carlo EMTP-based methods. Technical and economic results were compared with the existing optimization approach based on the EPRI two-point method using the EPRI 345 kV transmission line as test system. Results show that IEEE and EPRI methods yield equivalent results. The stochastic-based method (MC-EMTP) is more optimistic showing total and marginal insulation and grounding costs below the IEEE/EPRI methods.
P. M. De Oliveira-De Jesus; J. C. Amaya; A. L. Acevedo; A. J. Urdaneta U. Optimization of overhead transmission lines insulation and grounding costs with respect to backflashover rate. Electrical Engineering 2021, 103, 1711 -1723.
AMA StyleP. M. De Oliveira-De Jesus, J. C. Amaya, A. L. Acevedo, A. J. Urdaneta U. Optimization of overhead transmission lines insulation and grounding costs with respect to backflashover rate. Electrical Engineering. 2021; 103 (3):1711-1723.
Chicago/Turabian StyleP. M. De Oliveira-De Jesus; J. C. Amaya; A. L. Acevedo; A. J. Urdaneta U. 2021. "Optimization of overhead transmission lines insulation and grounding costs with respect to backflashover rate." Electrical Engineering 103, no. 3: 1711-1723.
Linear network modeling and phasor measurement units (PMUs) simplify the traditional system state estimation (SSE) problem. The existing multiphase SSE-PMU-based models are linear including earthing resistances as a fixed and invariable parameter. However, earthing resistances strongly depend on moisture and temperature changes over time. Thus, under unbalanced operation time-varying Neutral-Earth Voltages (NEV) could be higher than admisible touch and step voltages in urban areas. Earthing resistances can be now monitored using specialized meters and therefore duly incorporated as measured and state variables in a multigrounded SSE problem. Thus, the SSE problem becomes non-linear and the standard linear solution approach is no longer suitable. This fact has been overlooked in the literature. To fulfill the research gap, a new multigrounded SSE-PMU-based formulation is presented. As a key contribution, the normal-equation structure used in linear SSE approaches was extended to a non-linear one in order to allow the estimation of grounding resistances, neutral-to-earth voltages, and neutral currents. The proposal was applied in a 2-bus example for illustration purposes and successfully applied and compared with existing methods under large-scale conditions.
Paulo M. De Oliveira-De Jesus; Nestor A. Rodriguez; David F. Celeita; Gustavo A. Ramos. PMU-Based System State Estimation for Multigrounded Distribution Systems. IEEE Transactions on Power Systems 2020, 36, 1071 -1081.
AMA StylePaulo M. De Oliveira-De Jesus, Nestor A. Rodriguez, David F. Celeita, Gustavo A. Ramos. PMU-Based System State Estimation for Multigrounded Distribution Systems. IEEE Transactions on Power Systems. 2020; 36 (2):1071-1081.
Chicago/Turabian StylePaulo M. De Oliveira-De Jesus; Nestor A. Rodriguez; David F. Celeita; Gustavo A. Ramos. 2020. "PMU-Based System State Estimation for Multigrounded Distribution Systems." IEEE Transactions on Power Systems 36, no. 2: 1071-1081.
Next‐generation distribution systems will be characterized by higher unbalanced currents due to increased asymmetrical currents produced by fast charging of electric vehicles and high short‐circuit currents under meshed operation. The unbalanced currents flowing through earthing impedances produce neutral‐earth voltages (NEVs) that may compromise the security (IEEE 62.92) and the safety (IEEE 80) of the system. Existing PMU‐based distribution system state estimation (PMU‐DSSE) methods described in literature are unable to estimate neutral‐earth voltages. To fulfill the research gap, this paper presents a new PMU‐DSSE formulation capable to estimate NEVs taking advantage of the OpenDSS's multiphase network model. The proposed procedure was successfully applied in two well‐known NEV test cases modeled in the OpenDSS platform.
Paulo M. De Oliveira‐De Jesus; David F. Celeita; Gustavo A. Ramos. The neutral‐earth‐voltage ( NEV ) system state estimation model. International Transactions on Electrical Energy Systems 2020, 30, 1 .
AMA StylePaulo M. De Oliveira‐De Jesus, David F. Celeita, Gustavo A. Ramos. The neutral‐earth‐voltage ( NEV ) system state estimation model. International Transactions on Electrical Energy Systems. 2020; 30 (9):1.
Chicago/Turabian StylePaulo M. De Oliveira‐De Jesus; David F. Celeita; Gustavo A. Ramos. 2020. "The neutral‐earth‐voltage ( NEV ) system state estimation model." International Transactions on Electrical Energy Systems 30, no. 9: 1.
The International Energy Agency (IEA) has proposed an ambitious carbon dioxide emission mitigation scenario with specific recommendations for Latin American and the Caribbean (LAC) countries. However, this mitigation scenario entails significant limitations. The expected electricity production for the region is quite low compared to global average figures. This situation could endanger the sustainable development of the region. In this paper, we discuss an alternative mitigation scenario that seeks the compliance of both climate objectives and future energy requirements. This new scenario is based on the widespread integration of smart grids and renewable energies. High capacity smart transmission grids could enlarge existing transnational electricity markets. Results show that Latin America could contribute with 4.1% of the global mitigation effort up to 2040 (the IEA’s 450 S scenario for the region is 3.6%) with an additional investment of 7% in large-scale renewable-based generation plants and HDVC transmission links. As a main result, future regional generation output is aligned with the requirements of national policy scenarios outlined at the climate convention.
Paulo M. De Oliveira-De Jesus; Marco González De León; Rafael A. Melán. A mitigation scenario for Latin American power-related carbon dioxide emissions. Energy Sources, Part B: Economics, Planning, and Policy 2020, 15, 492 -512.
AMA StylePaulo M. De Oliveira-De Jesus, Marco González De León, Rafael A. Melán. A mitigation scenario for Latin American power-related carbon dioxide emissions. Energy Sources, Part B: Economics, Planning, and Policy. 2020; 15 (10-12):492-512.
Chicago/Turabian StylePaulo M. De Oliveira-De Jesus; Marco González De León; Rafael A. Melán. 2020. "A mitigation scenario for Latin American power-related carbon dioxide emissions." Energy Sources, Part B: Economics, Planning, and Policy 15, no. 10-12: 492-512.
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 presents a fuzzy-multiple objective optimization methodology to plan stand-alone electricity generation systems. The optimization process considers three main objectives, namely technology cost, environmental and societal impacts. For each feasible solution of the Pareto set, a system reliability index is evaluated along the lifetime of the project. As a key contribution, the decision making process is carried out by applying a fuzzy satisfaction method (FSM). The FSM accounts simultaneously four key performance indexes (KPI): technical, economic, environmental and social. The novelty of the proposal lies on the inclusion of societal impact (local wealth creation) in the FSM used here to select the more appropriate solution. Previous contributions on FSM only accounts two of four indexes considered in this paper. The methodology was applied in a Colombian case study. The results show the importance of the simultaneous consideration of technical, economic, environmental and social objectives in the evaluation of off-grid energization solutions.
J.D. Rivera-Niquepa; P.M. De Oliveira-De Jesus; J.C. Castro-Galeano; D. Hernández-Torres. Planning stand-alone electricity generation systems, a multiple objective optimization and fuzzy decision making approach. Heliyon 2020, 6, e03534 .
AMA StyleJ.D. Rivera-Niquepa, P.M. De Oliveira-De Jesus, J.C. Castro-Galeano, D. Hernández-Torres. Planning stand-alone electricity generation systems, a multiple objective optimization and fuzzy decision making approach. Heliyon. 2020; 6 (3):e03534.
Chicago/Turabian StyleJ.D. Rivera-Niquepa; P.M. De Oliveira-De Jesus; J.C. Castro-Galeano; D. Hernández-Torres. 2020. "Planning stand-alone electricity generation systems, a multiple objective optimization and fuzzy decision making approach." Heliyon 6, no. 3: e03534.
This paper presents an economic model that aims to evaluate -from the regulatory perspective- the behavior of an aggregator capable of exploiting business opportunities of electric vehicles (EV) in the context of a wholesale electricity market. As a key contribution, we investigate the market equilibrium point when only one firm acts as an EV aggregator taking advantage of the management of the storage assets. To do so, a Stackelberg game is stated as a bi-level optimization problem where the maximization of the EV aggregator profit is regarded as the leader’s optimization problem, and the set of hourly economic dispatches and the corresponding locational marginal prices (LMPs) are determined by a benevolent system operator (the follower’s optimization problem). The model was applied in the IEEE RTS test system and the Colombian electricity market. The best solution for the EV aggregator does not require a significant share of the existing storage capacity. However, despite the loss of efficiency observed in the short-term energy market, the oligopolistic solution leads to flattening load curves and, therefore, a better use of the transmission and distribution infrastructure in the long term.
David Toquica; Paulo M. De Oliveira-De Jesus; Angela I. Cadena. Power market equilibrium considering an EV storage aggregator exposed to marginal prices - A bilevel optimization approach. Journal of Energy Storage 2020, 28, 101267 .
AMA StyleDavid Toquica, Paulo M. De Oliveira-De Jesus, Angela I. Cadena. Power market equilibrium considering an EV storage aggregator exposed to marginal prices - A bilevel optimization approach. Journal of Energy Storage. 2020; 28 ():101267.
Chicago/Turabian StyleDavid Toquica; Paulo M. De Oliveira-De Jesus; Angela I. Cadena. 2020. "Power market equilibrium considering an EV storage aggregator exposed to marginal prices - A bilevel optimization approach." Journal of Energy Storage 28, no. : 101267.
This paper investigates the relationship between the cost associated to lightning protection systems (LPS) and the back-flashover rate (BFR) in high voltage transmission lines. The fundamental research question raised is how to determine the incremental cost of the mitigation measures associated to a prescribed back flashover rate. The interaction of tower supplemental grounding and tower insulation design is analyzed satisfying a given reliability level at minimum overall investment cost. A new optimization model relating back flashover phenomena to expenditure in LPS is presented expressly accounting the dynamic behavior of the tower footings being suitable to be applied using any existing BFR evaluation methodology. To illustrate the method, practical study case based on the step-by-step Anderson-EPRI method is presented. Despite the EPRI method has limitations, its simplicity is useful to illustrate the calculation of incremental cost curves of LPS without resorting to simulation software. Researchers are encouraged to apply the method using other BFR evaluation methodologies.
P. M. De Oliveira-De Jesus. A New Method to Determine Incremental Costs of Transmission Lightning Protection Systems. Electric Power Components and Systems 2019, 47, 1759 -1774.
AMA StyleP. M. De Oliveira-De Jesus. A New Method to Determine Incremental Costs of Transmission Lightning Protection Systems. Electric Power Components and Systems. 2019; 47 (19-20):1759-1774.
Chicago/Turabian StyleP. M. De Oliveira-De Jesus. 2019. "A New Method to Determine Incremental Costs of Transmission Lightning Protection Systems." Electric Power Components and Systems 47, no. 19-20: 1759-1774.
This paper analyzes the well‐known short‐circuit current distribution problem in electric distribution facilities from a new perspective. Fault current distribution, temporary overvoltages, and ground potential rise profile are determined according to a detailed network model based on 5×5 primitive matrices. Despite the use of a 5×5 network model entails additional data with respect to the traditional approach based on Carson's assumptions, the main advantage of the method lies on the enhanced representation of the ground loop. Thus, short‐circuit current distribution can be determined either by using any existing closed‐form expression for the ground loop representation or by incorporating impedance parameters adjusted from dynamic state estimation based on synchronized measurements. The proposed method was illustrated in a simple radial two bus and also applied on a large‐scale 115/12 kV system with 360 buses. Results were compared and validated with the nodal admittance approach provided by the OpenDSS platform.
Paulo M. De Oliveira‐De Jesus; Andrés A. Rojas Quintana. Short‐circuit current distribution analysis using a network model based on a 5×5 primitive matrix. International Transactions on Electrical Energy Systems 2019, 29, 1 .
AMA StylePaulo M. De Oliveira‐De Jesus, Andrés A. Rojas Quintana. Short‐circuit current distribution analysis using a network model based on a 5×5 primitive matrix. International Transactions on Electrical Energy Systems. 2019; 29 (9):1.
Chicago/Turabian StylePaulo M. De Oliveira‐De Jesus; Andrés A. Rojas Quintana. 2019. "Short‐circuit current distribution analysis using a network model based on a 5×5 primitive matrix." International Transactions on Electrical Energy Systems 29, no. 9: 1.
Logarithmic mean Divisia for index decomposition analysis (IDA-LMDI) has been applied to evaluate the aggregate carbon emission intensity of electricity (ACI) evolution considering explaining factors as fuel mix, thermal efficiency, fossil share and geographical effects. However, the capacity factor of the generation system has not been duly considered in previous LMDI formulations. The capacity factor provides a perception of the time of use of the generation infrastructure. Despite LMDI analysis have been widely applied to explain the electricity-related CO2 emissions changes in many countries and regions of the world, Latin America & the Caribbean (LAC) power sector has not been analyzed yet. Since 1990 the global ACI declined around 5% whereas the ACI of LAC is just going in the opposite direction with a significant increase of 10%. To fill the research gap, this paper presents a new and general temporal IDA-LMDI formulation in order to expressly include the effect of capacity factors and analyze the evolution of LAC's ACI between 1990 and 2015. Results reveal the increase of the ACI in the region is due to structural reasons, mainly in Brazil. Intensity factors as thermal efficiency and fossil mix were also substantially improved, mainly in Mexico, but not enough to cut down the regional ACI increase. As a key result, it is shown that the capacity factors of fossil-based generation –mainly in Venezuela, Mexico and Brazil– are a relevant driving force behind the ACI increase. As Brazil is the largest producer and its capacity factor is relatively low compared to other LAC countries, the increasingly dispatch of fuel-fired power plants to cover base-load may boost the ACI of the region in the future jeopardizing the compliance of the climate goals.
Paulo M. De Oliveira-De Jesus. Effect of generation capacity factors on carbon emission intensity of electricity of Latin America & the Caribbean, a temporal IDA-LMDI analysis. Renewable and Sustainable Energy Reviews 2018, 101, 516 -526.
AMA StylePaulo M. De Oliveira-De Jesus. Effect of generation capacity factors on carbon emission intensity of electricity of Latin America & the Caribbean, a temporal IDA-LMDI analysis. Renewable and Sustainable Energy Reviews. 2018; 101 ():516-526.
Chicago/Turabian StylePaulo M. De Oliveira-De Jesus. 2018. "Effect of generation capacity factors on carbon emission intensity of electricity of Latin America & the Caribbean, a temporal IDA-LMDI analysis." Renewable and Sustainable Energy Reviews 101, no. : 516-526.
Many countries are establishing regulatory guidelines to promote the integration of smart grid technologies with the aim of improving the efficiency of the power system. This paper analyzes how the investment costs of the different smart grid applications installed by network operators can be recovered in the short-term when a locational marginal pricing scheme is applied. This issue has been previously addressed in literature with simple economic models where the multilevel structure of the smart grid is not considered. In general, previous models based upon a simple level of investment and economic results disregard specific technical/economic effects of each smart grid application, e.g. the reactive power management. As a key contribution, this paper presents a new social welfare optimization model considering implementation strategies with different expenditure levels in smart grid technologies where specific applications as renewable distributed generation, network automation, demand-response and reactive power management are explicitly considered. The proposed model has been implemented using a 3-node illustrative example and a 149000-node network under real-world conditions. Results show how a progressive implementation of smart grid applications can produce increased system efficiency and social welfare, in particular when demand-response is enabled. Results also show how demand-response applications applied in weak power systems are suitable to be recovered in the short-term with marginal revenues of the network provider.
P.M. De Oliveira-De Jesus; C. Henggeler Antunes. Economic valuation of smart grid investments on electricity markets. Sustainable Energy, Grids and Networks 2018, 16, 70 -90.
AMA StyleP.M. De Oliveira-De Jesus, C. Henggeler Antunes. Economic valuation of smart grid investments on electricity markets. Sustainable Energy, Grids and Networks. 2018; 16 ():70-90.
Chicago/Turabian StyleP.M. De Oliveira-De Jesus; C. Henggeler Antunes. 2018. "Economic valuation of smart grid investments on electricity markets." Sustainable Energy, Grids and Networks 16, no. : 70-90.
This paper presents a cost-effective optimization model for transmission line lightning performance design. The objective is to determine the appropriate insulation level and a particular grounding scheme of each support for a given line outage rate requirement due to the back-flashover phenomena at a minimum overall cost. To ensure a minimum global investment cost, the constraints associated with the individual lightning behavior of each tower section are relaxed depending on the regional atmospheric activity and on the particular characteristics of the soil, and therefore on the costs of the required grounding and insulation systems at each tower location, enforcing the appropriate lightning behavior of the complete transmission line. The proposed model is based upon a linear-integer programing problem formulation and solutions are obtained from the application of a three-layer hierarchical design methodology. The proposal has been tested in a 230 kV transmission line, 85.4 km long, with 180 towers. Results are presented and compared with designs obtained through by a conventional grounding optimization with important reductions in investment costs, encouraging the use and further development of the methodology.
Paulo M. De Oliveira-De Jesus; David Hernandez-Torres; Alberto J. Urdaneta. Cost-Effective Optimization Model for Transmission Line Outage Rate Control Due to Back-Flashover Phenomena. Electric Power Components and Systems 2018, 46, 1834 -1843.
AMA StylePaulo M. De Oliveira-De Jesus, David Hernandez-Torres, Alberto J. Urdaneta. Cost-Effective Optimization Model for Transmission Line Outage Rate Control Due to Back-Flashover Phenomena. Electric Power Components and Systems. 2018; 46 (16-17):1834-1843.
Chicago/Turabian StylePaulo M. De Oliveira-De Jesus; David Hernandez-Torres; Alberto J. Urdaneta. 2018. "Cost-Effective Optimization Model for Transmission Line Outage Rate Control Due to Back-Flashover Phenomena." Electric Power Components and Systems 46, no. 16-17: 1834-1843.
The improvement of reliability indexes as the energy not supplied is a major issue in electricity markets. This paper proposes a new multiple-objective optimization formulation to solve the problem of outage rate reduction of electric transmission lines due to back-flashover phenomena from technical and economical viewpoint. The method allows us to determine the trade-offs (Pareto front) between the outage rate of the transmission line and the investment costs of adding insulation or reducing grounding impedance at each tower. Improved results are obtained when compared to the traditional approach based on a standardized tower-by-tower design. The use of different objectives provides a broad set of noninferior design solutions to the engineer in order to make the final selection when compared to the single-objective—construction costs—formulation, where the minimum cost solution is directly provided by the optimization algorithm. The proposed methodology was successfully tested on a real case consisting of a 230 kV transmission line project, 85.4 km long, with 180 towers.
P. M. De Oliveira-De Jesus; D. Hernández-Torres; A. J. Urdaneta. Multiple-objective approach for reliability improvement of electrical energy transmission systems exposed to back-flashover phenomena. Electrical Engineering 2018, 100, 2743 -2753.
AMA StyleP. M. De Oliveira-De Jesus, D. Hernández-Torres, A. J. Urdaneta. Multiple-objective approach for reliability improvement of electrical energy transmission systems exposed to back-flashover phenomena. Electrical Engineering. 2018; 100 (4):2743-2753.
Chicago/Turabian StyleP. M. De Oliveira-De Jesus; D. Hernández-Torres; A. J. Urdaneta. 2018. "Multiple-objective approach for reliability improvement of electrical energy transmission systems exposed to back-flashover phenomena." Electrical Engineering 100, no. 4: 2743-2753.
One of the most important aspects that characterizes smart grids is the widespread integration of loads and renewable-based generators connected to the distribution network. In general, sequence or phase based network models have included the effect of ground return on equivalent phase and neutral impedances using the Kron's reduction and Carson equations. Under unbalanced grid operation, these traditional models can produce inexact results being inadequate for advanced grid analysis and optimization. This paper presents a detailed and compact formulation for the analysis of multi-grounded distribution systems. The key contribution of the paper is to introduce a detailed representation of the ground loops in the distribution system model suitable to be applied under different analysis methods as power flow, optimal power flow, state estimation and network pricing in an integrated manner. This contribution is meaningful since it allows to analyze future electrical systems with severe unbalanced operation due to high penetration of single-phase renewable and load sources. The ground parameters can be adjusted in the context of a state estimator that integrates ground voltages and currents. The proposed model is tested using illustrative and real-world large-scale test cases. Results reveal significant differences when compared with system analyses using standard three phase network model approach.
P.M. De Oliveira-De Jesus; Carlos Henggeler Antunes. A detailed network model for distribution systems with high penetration of renewable generation sources. Electric Power Systems Research 2018, 161, 152 -166.
AMA StyleP.M. De Oliveira-De Jesus, Carlos Henggeler Antunes. A detailed network model for distribution systems with high penetration of renewable generation sources. Electric Power Systems Research. 2018; 161 ():152-166.
Chicago/Turabian StyleP.M. De Oliveira-De Jesus; Carlos Henggeler Antunes. 2018. "A detailed network model for distribution systems with high penetration of renewable generation sources." Electric Power Systems Research 161, no. : 152-166.
This paper presents a three-phase loss allocation procedure for distribution networks. The key contribution of the paper is the computation of specific marginal loss coefficients (MLCs) per bus and per phase expressly considering non-linear load models for Electric Vehicles (EV). The method was applied in a unbalanced 12.47 kV feeder with 12,780 households and 1000 EVs under peak and off-peak load conditions. Results obtained were also compared with the traditional roll-in embedded allocation procedure (pro rata) using non-linear and standard constant power models. Results show the influence of the non-linear load model in the energy losses allocated. This result highlights the importance of considering an appropriate EV load model to appraise the overall losses encouraging the use and further development of the methodology
Paulo M. De Oliveira-De Jesus; Mario A. Rios; Gustavo A. Ramos. Energy Loss Allocation in Smart Distribution Systems with Electric Vehicle Integration. Energies 2018, 11, 1962 .
AMA StylePaulo M. De Oliveira-De Jesus, Mario A. Rios, Gustavo A. Ramos. Energy Loss Allocation in Smart Distribution Systems with Electric Vehicle Integration. Energies. 2018; 11 (8):1962.
Chicago/Turabian StylePaulo M. De Oliveira-De Jesus; Mario A. Rios; Gustavo A. Ramos. 2018. "Energy Loss Allocation in Smart Distribution Systems with Electric Vehicle Integration." Energies 11, no. 8: 1962.
David Hernández-Torres; Alberto J. Urdaneta Urdaneta; Paulo De Oliveira-De Jesus. A hierarchical methodology for the integral net energy design of small-scale hybrid renewable energy systems. Renewable and Sustainable Energy Reviews 2015, 52, 100 -110.
AMA StyleDavid Hernández-Torres, Alberto J. Urdaneta Urdaneta, Paulo De Oliveira-De Jesus. A hierarchical methodology for the integral net energy design of small-scale hybrid renewable energy systems. Renewable and Sustainable Energy Reviews. 2015; 52 ():100-110.
Chicago/Turabian StyleDavid Hernández-Torres; Alberto J. Urdaneta Urdaneta; Paulo De Oliveira-De Jesus. 2015. "A hierarchical methodology for the integral net energy design of small-scale hybrid renewable energy systems." Renewable and Sustainable Energy Reviews 52, no. : 100-110.
In this chapter, a generalized model to solve multigrounded distribution networks under DIgSILENT platform taking into account current flows and voltages across neutral and ground paths is presented. The fundamental idea developed in this work is solving the 5-wire power flow problem using a unique matrix called TRX that includes all feeder characteristics related to phase, neutral, and equivalent ground paths. Proposed power flow routines are run from MATLAB engine using DIgSILENT databases. The method is suitable to be applied on unbalanced aerial and underground distribution systems with distributed generation. Proposed methodology has been successfully applied in an illustrative test system.
Paulo M. De Oliveira-De Jesus; Andres A. Rojas Q. Unbalanced Power Flow Analysis in Distribution Systems Using TRX Matrix: Implementation Using DIgSILENT Programming Language. Numerical Methods for Energy Applications 2014, 85 -110.
AMA StylePaulo M. De Oliveira-De Jesus, Andres A. Rojas Q. Unbalanced Power Flow Analysis in Distribution Systems Using TRX Matrix: Implementation Using DIgSILENT Programming Language. Numerical Methods for Energy Applications. 2014; ():85-110.
Chicago/Turabian StylePaulo M. De Oliveira-De Jesus; Andres A. Rojas Q. 2014. "Unbalanced Power Flow Analysis in Distribution Systems Using TRX Matrix: Implementation Using DIgSILENT Programming Language." Numerical Methods for Energy Applications , no. : 85-110.
This paper presents a novel formulation of the Distribution System State Estimation (DSSE) optimization model. For a given electric three-phase circuit feeder, network models are built using a quasi-symmetric impedance matrix TRX representing the entire structure and topology of the radial network. As a key contribution, the state variables of demands and generators connected to large-scale distribution grids are obtained by using a convenient matrix reduction technique. As a result, the size of the optimization problem is considerably reduced with respect to the jacobian formulation by considering radial and weakly meshed exploitation and elimination of interconnecting nodes. Results and comparative analysis are presented using the IEEE 4-, 13-, 37-, 123-, and 8500-node test systems.
P. M. De Oliveira-De Jesus; Andres A. Rojas Quintana. Distribution System State Estimation Model Using a Reduced Quasi-Symmetric Impedance Matrix. IEEE Transactions on Power Systems 2014, 30, 2856 -2866.
AMA StyleP. M. De Oliveira-De Jesus, Andres A. Rojas Quintana. Distribution System State Estimation Model Using a Reduced Quasi-Symmetric Impedance Matrix. IEEE Transactions on Power Systems. 2014; 30 (6):2856-2866.
Chicago/Turabian StyleP. M. De Oliveira-De Jesus; Andres A. Rojas Quintana. 2014. "Distribution System State Estimation Model Using a Reduced Quasi-Symmetric Impedance Matrix." IEEE Transactions on Power Systems 30, no. 6: 2856-2866.
This paper presents a new load flow formulation to solve active and passive electric distribution networks. The fundamental idea discussed here is how to obtain the power flow solution by using the elements of a unique quasi-symmetric matrix called TRX in the iterative process. The method is formulated for single-phase balanced and three-phase unbalanced radially operated networks. It works with real variables as opposed to complex variables used in previous backward/forward sweep algorithms discussed in literature. The proposed TRX matrix constitutes a complete database by including information of network topology structure as well as branch impedances of the distribution feeder. Data arrangement is suitable to be exchanged under standard Common Information Model (CIM) under Distribution Management Systems (DMS) environment allowing an efficient computation of the state of the system for on-line and off-line study applications. The proposed methodology was applied on a group of IEEE test systems and a real distribution system of 49,000 nodes.
Paulo De Oliveira-De Jesus; Manuel Alvarez; Jose M. Yusta. Distribution power flow method based on a real quasi-symmetric matrix. Electric Power Systems Research 2013, 95, 148 -159.
AMA StylePaulo De Oliveira-De Jesus, Manuel Alvarez, Jose M. Yusta. Distribution power flow method based on a real quasi-symmetric matrix. Electric Power Systems Research. 2013; 95 ():148-159.
Chicago/Turabian StylePaulo De Oliveira-De Jesus; Manuel Alvarez; Jose M. Yusta. 2013. "Distribution power flow method based on a real quasi-symmetric matrix." Electric Power Systems Research 95, no. : 148-159.
This paper presents a new formulation for system state estimation of passive electric distribution networks. The fundamental idea discussed here is how to obtain the state of the system at maximum demand condition using three sources of information: 1) a quasi-symmetric matrix called TRX representing network structure and topology, 2) power measurements at main feeder disconnection devices and reclosers installed in the network, and 3) Energy measurements and estimated load curve of aggregate users at distribution transformers. The method is formulated with real variables for single-phase positive sequence radially operated networks. Results of the application of proposed methodology are presented using the well known IEEE 4-Node test system.
Paulo De Oliveira-De Jesus; Andrés Alejandro Rojas Quintana. New Formulation for Distribution System State Estimation. 2012 VI Andean Region International Conference 2012, 3 -6.
AMA StylePaulo De Oliveira-De Jesus, Andrés Alejandro Rojas Quintana. New Formulation for Distribution System State Estimation. 2012 VI Andean Region International Conference. 2012; ():3-6.
Chicago/Turabian StylePaulo De Oliveira-De Jesus; Andrés Alejandro Rojas Quintana. 2012. "New Formulation for Distribution System State Estimation." 2012 VI Andean Region International Conference , no. : 3-6.