A5032016864- Power System Optimization and Stability
- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Smart Grid Energy Management
- Smart Grid Security and Resilience
- HVDC Systems and Fault Protection
- Power System Reliability and Maintenance
- Electric Power System Optimization
- Power Quality and Harmonics
- Power Systems Fault Detection
- Power Line Communications and Noise
- Islanding Detection in Power Systems
- Energy Load and Power Forecasting
- Thermal Analysis in Power Transmission
- Matrix Theory and Algorithms
- Lightning and Electromagnetic Phenomena
- Integrated Energy Systems Optimization
- Advanced Electrical Measurement Techniques
- Magnetic Properties and Applications
- Fault Detection and Control Systems
- Digital Filter Design and Implementation
- Wind Turbine Control Systems
- Water Systems and Optimization
- Electromagnetic Compatibility and Noise Suppression
- Multilevel Inverters and Converters
Universidad de Sevilla
2016-2025
Ministry of Education
2020
Endesa (Spain)
2007-2018
Valencian Infertility Institute
2011
Hospital de Cruces
2011
Radboud University Nijmegen
2011
London Bridge Hospital
2011
Northeastern University
2004-2007
Consejo de Seguridad Nuclear
2007
University of Chinese Academy of Sciences
2005
This paper summarizes the technical activities of Task Force on Power System Dynamic State and Parameter Estimation. was established by IEEE Working Group Estimation Algorithms to investigate added benefits dynamic state parameter estimation for enhancement reliability, security, resilience electric power systems. The motivations engineering values (DSE) are discussed in detail. Then, a set potential applications that will rely DSE is presented discussed. Furthermore, unified framework...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper presents a new method to enhance the participation of variable-speed wind energy conversion systems (WECS) in existing frequency regulation mechanisms. The proposed approach, based on modified inertial control scheme, takes advantage fast response capability associated with electronically-controlled WECS, allowing kinetic stored by rotational masses be partly and transiently released...
The main objective of this paper is to describe a multilevel framework that facilitates seamless integration existing state estimators (SEs) are designed function at different levels modeling hierarchy in order accomplish very large-scale monitoring interconnected power systems. This has been major challenge for decades as systems grew pretty much independently areas, which had operate an and synchronized fashion. initially provides brief historical perspective also explains the estimation...
Non-technical electricity losses due to anomalies or frauds are accountable for important revenue in power utilities. Recent advances have been made this area, fostered by the roll-out of smart meters. In paper, we propose a methodology non-technical loss detection using supervised learning. The has developed and tested on real meter data all industrial commercial customers Endesa. This uses information meters record (energy consumption, alarms electrical magnitudes) obtain an in-depth...
Non-technical losses (NTL) in electricity utilities are responsible for major revenue losses. In this paper, we propose a novel end-to-end solution to self-learn the features detecting anomalies and frauds smart meters using hybrid deep neural network. The network is fed with simple raw data, removing need of handcrafted feature engineering. proposed architecture consists long short-term memory multi-layer perceptrons first analyses daily energy consumption history whilst second one...
Power system dynamic state estimation (DSE) remains an active research area. This is driven by the absence of accurate models, increasing availability fast-sampled, time-synchronized measurements, and advances in capability, scalability, affordability computing communications. paper discusses advantages DSE as compared to static estimation, implementation differences between two, including measurement configuration, modeling framework support software features. The important roles are...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper presents a simple technique to forecast next-day electricity market prices based on the weighted nearest neighbors methodology. First, it is explained how relevant parameters defining adopted model are obtained. Such have do with window length of time series and number chosen for prediction. Then, results corresponding Spanish during 2002 presented discussed. Finally, performance...
This paper deals with the problem of network parameter errors in state estimation. First all, some experimental results are presented showing influence these on performance weighted least squares estimators. Secondly, preliminary step identifying suspicious parameters is briefly discussed. A classification techniques proposed literature to estimate then suggested, followed by a description main ideas behind each method. Finally, discussion included possibilities and limitations every class methods.
This paper proposes a new railway electrification system in which the voltage-source converter (VSC) becomes basic building block. will allow existing railways, comprising several ac and dc subsystems, to be transformed into simpler medium-voltage (MVDC) multiterminal power systems feeding mobile loads. Moreover, VSC-based unified scheme substantially facilitate connectivity among otherwise heterogeneous systems, while integration of distributed generation storage is achieved straightforward...
State estimation (SE) is indispensable for the situational awareness of power systems.Conventional SE fed by measurements collected from supervisory control and data acquisition (SCADA) system.In recent years, available sources have been greatly enriched with deployment phasor measurement units (PMUs), advanced metering infrastructure (AMI), intelligent electronic devices (IEDs), etc.The integration multiple provides unprecedented opportunities enhancing performance SE, but also presents...
Renewable energy source integration into systems can contribute to transmission congestion, which requires time-consuming and capital-intensive upgrades address. Grid-enhancing technologies (GETs) increase the capacity of grids with minimal investment, preventing congestion curtailment renewable energy. In this Review, we discuss principles uses GETs, use software and/or hardware interpret real-time conditions better existing grid assets. GETs include dynamic line ratings, transformer power...
In this paper, the issue of how transmission power losses should be allocated is addressed. First, it shown that existing methodologies allocate interaction components regardless size involved partners. Then, several alternatives to split those terms are suggested which somehow take into account relative contribution each transaction. Although ideas presented by resorting unbundled branch flows, proposed schemes applicable on a nodal basis. A real example finally included showing total...
This paper is devoted to efficiently modeling the connectivity of distribution networks, which are structurally meshed but radially operated. A new approach, based on "path-to-node" concept, presented, allowing both topological and electrical constraints be algebraically formulated before actual radial configuration determined. In order illustrate possibilities proposed framework, problem network reconfiguration for power loss reduction considered. Two different optimization algorithms-one...
This paper presents a method to solve the power flow problem in radial distribution networks. In proposed formulation, load equations are written terms of new variables resulting set 3N (2N linear plus N quadratic) for network with N+1 buses. A computationally efficient solution scheme based on Newton-Raphson is proposed, and possible simplifications discussed. Finally, comparative evaluation method's performance against existing algorithms provided.
This paper addresses the problem of tuning Kalman filters so that they can properly track harmonic fluctuations. A method for self-tuning model error covariance is presented and tested, showing fast adaptive capability under sudden changes input signal.
This paper presents new models of voltage source converters suitable for power system state estimation comprising STATCOM and VSC-HVDC applications. Both the back-to-back point-to-point variants are addressed. The include DC measurements converter control inputs resulting in an overall, seamless combination AC devices or networks, addition to providing a higher degree redundancy. Following detailed description all relevant variables involved problem, taking into account equality constraints...
This paper proposes a hierarchical control architecture designed for an arbitrary high voltage multiterminal dc (MTDC) network. In the proposed architecture, primary of MTDC system is decentralized and implemented using generalized droop strategy. Design criteria dimensioning parameters, including limits, are offered by analyzing transients appearing in system. The secondary centralized regulates operating point (OP) network so that optimal power flow (OPF) achieved. Compared to previous...
The monitoring of distribution systems relies on a critical set pseudomeasurements and varying but low number redundant measurements. In the light different refreshing rates both types information, this paper considers state estimation model structured in two time scales. Possibilities limitations proposed are discussed, illustrated real system comprising diversity load patterns.
The main objective of this paper is three-fold. First, to provide an overview the current status power electronics technology, one key actors in upcoming smart grid paradigm enabling maximum throughputs and near-instantaneous control voltages currents all links system chain. Second, a bridge between systems electronic communities, terms their differing appreciation how these devices perform when connected grid. Third, discuss on role that technology will play supporting aims objectives...