D.E. Echeverría

Bio: D.E. Echeverría is an academic researcher. The author has contributed to research in topics: Electric power system & Phasor. The author has an hindex of 6, co-authored 18 publications receiving 144 citations.

Real-time transient stability assessment based on centre-of-inertia estimation from phasor measurement unit records

Abstract: Several smart grid applications have recently been devised in order to timely perform supervisory functions along with self-healing and adaptive countermeasures based on system-wide analysis, with the ultimate goal of reducing the risks associated with potentially insecure operating conditions. Real-time transient stability assessment (TSA) belongs to this type of applications, which allows deciding and coordinating pertinent corrective control actions depending on the evolution of post-fault rotor-angle deviations. This study presents a novel approach for carrying out real-time TSA based on prediction of area-based centre-of-inertia (COI) referred rotor angles from phasor measurement unit (PMU) measurements. Monte Carlo-based procedures are performed to iteratively evaluate the system transient stability response, considering the operational statistics related to loading condition changes and fault occurrence rates, in order to build a knowledge database for PMU and COI-referred rotor-angles as well as to screen those relevant PMU signals that allows ensuring high observability of slow and fast dynamic phenomena. The database is employed for structuring and training an intelligent COI-referred rotor-angle regressor based on support vector machines [support vector regressor (SVR)] to be used for real-time TSA from selected PMUs. Besides, the SVR is optimally tuned by using the swarm variant of the mean-variance mapping optimisation. The proposal is tested on the IEEE New England 39-bus system. Results demonstrate the feasibility of the methodology in estimating the COI-referred rotor angles, which enables alerting about real-time transient stability threats per system areas, for which a transient stability index is also computed.

Comprehensive approach for prediction and assessment of power system transient stability in real-time

Abstract: Secure operation of power systems is receiving a renewed interest due to considerable structural changes and greater uncertainties Thus, motivated by implementation of wide-area measurement systems in power systems worldwide, recent research work is being devoted to the development of enhanced tools for fast security assessment within reduced time frames The work presented in this paper introduces an approach that exploits the post-disturbance data acquired via phasor measurement units (PMUs) by using a finite difference based method for the prediction of rotor angles, data-mining-based clustering for identification of critical machines, and single-machine-infinite bus (SMIB) transformation to evaluate the system transient stability in terms of unstable margin and time to instability Numerical results obtained by applying the approach on the New England test system demonstrates the feasibility and effectiveness that could be achieved in predicting the critical machines and unstable conditions, which is also of great value for defining suitable emergency control actions

Improved method for real-time transient stability assessment of power systems

Abstract: This paper presents a new approach to predict the time evolution of rotor angles of synchronous machines based on a modification of the Taylor series expansion in order to assess the transient stability of power systems in real time. To demonstrate the benefits of the proposed approach, a comparative analysis is made with other approaches which have been used for predicting the rotor angles, namely regression and interpolation algorithms and an approach based on original Taylor series expansion. The different prediction approaches are applied to the New England benchmark power system to predict the time evolution of the rotor angles in terms of stability and instability of first and second swing. The obtained results highlight the prediction accuracy of the proposed approach and the fulfilment of computational time requirements concerning real time applications.

Cenace's experiences on implementing a wide area monitoring system (WAMS) in the Ecuadorian power system

Abstract: The improvement of synchronized phasor measurement technology has enabled the development of new methodologies in order to monitor, in real time, high stressed operating conditions that might eventually cause problems of steady-state angle or voltage stability, as well as oscillatory stability risks. In this paper, the main components of the wide area monitoring system (WAMS) and phasor measurement in electric power systems are described. Then, a description of the WAMS system installed in the electric system of Ecuador is presented. A summary of the experiences of the Ecuadorian ISO (Centro Nacional de Control de Energia — CENACE) as regards WAMS implementation is presented. These experiences include the installation of 22 phasor measurement units (PMU), a high speed communication system based in optical fiber, and a phasor data concentrator (PDC) located in the control center. PDC functions are: to manage the phasor information and to provide dynamic monitoring applications (among which are the monitoring of steady-state angle and voltage stabilities and oscillatory stability). Finally, each of the stability monitoring applications is described and some analyses of the information obtained from the installed WAMS system are performed, presenting also the first results. These analyses will allow future operative and process design improvements, both in the planning and operation in real time, which will lead to optimize the security and reliability of operation.

Energy function analysis for power system stability

Abstract: (1990). ENERGY FUNCTION ANALYSIS FOR POWER SYSTEM STABILITY. Electric Machines & Power Systems: Vol. 18, No. 2, pp. 209-210.

Synchrophasor Measurement Technology in Power Systems: Panorama and State-of-the-Art

Abstract: Phasor measurement units (PMUs) are rapidly being deployed in electric power networks across the globe. Wide-area measurement system (WAMS), which builds upon PMUs and fast communication links, is consequently emerging as an advanced monitoring and control infrastructure. Rapid adaptation of such devices and technologies has led the researchers to investigate multitude of challenges and pursue opportunities in synchrophasor measurement technology, PMU structural design, PMU placement, miscellaneous applications of PMU from local perspectives, and various WAMS functionalities from the system perspective. Relevant research articles appeared in the IEEE and IET publications from 1983 through 2014 are rigorously surveyed in this paper to represent a panorama of research progress lines. This bibliography will aid academic researchers and practicing engineers in adopting appropriate topics and will stimulate utilities toward development and implementation of software packages.

Existing approaches and trends in uncertainty modelling and probabilistic stability analysis of power systems with renewable generation

Abstract: The analysis of power systems with a significant share of renewable generation using probabilistic tools is essential to appropriately consider the impact that the variability and intermittency of the renewable generation has on the grid. This paper provides a critical assessment and classification of the available probabilistic computational methods that have been applied to power system stability assessment (including small and large disturbance angular stability, voltage and frequency stability). A probabilistic analysis framework with a state-of-the-art review of the existing literature in the area is presented comprising of a review of (i) input variable modelling, (ii) computational methods and (iii) presentation techniques for the output/results. The most widely used probabilistic methods in power system studies are presented with their specific application areas, advantages, and disadvantages. The purpose of this overview, classification, and assessment of the existing methods is to identify the most appropriate probabilistic methods to be used in their current forms, or suitably modified, for different types of stability studies of power systems containing renewable generation.