Algorithms To Improve Performance Of Wide Area Measurement Systems Of Electric Power Systems
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Intelligent Electrical Protection in Traditional Networks and Smart Grids
Author: Salman Rezaei
language: en
Publisher: Cambridge Scholars Publishing
Release Date: 2025-02-20
The main objective of this book is to enlighten readers on the automatic protection, control, and monitoring of power systems. The focus is on the development of intelligent protective algorithms to combat ferroresonance and Sub-Synchronous Resonance (SSR) in both traditional networks and smart grids. Initially, the book covers the theoretical aspects of ferroresonance, SSR, and protective relays. It then discusses the occurrence of ferroresonance and SSR in the grid, and the impact of these phenomena on the operation of electrical components and a variety of protective relays. Intelligent algorithms are designed and tested for various types of protective relays. The book also introduces a power automation system known as the Universal Protection, Control, and Power Energy Management Centre (UPCPEMC). This SCADA-based centre includes hardware components and new software for simulation, analysis, protection, control, and power system component design. Additionally, it includes power and energy management programs that are suitable for use in both traditional networks and smart grids.
Algorithms to Improve Performance of Wide Area Measurement Systems of Electric Power Systems
Power system operation has become increasingly complex due to high load growth and increasing market pressure. The occurrence of major blackouts in many power systems around the world has necessitated the use of synchrophasor based Wide Area Measurement Systems (WAMS) for grid monitoring. Synchrophasor technology is comparatively new in the area of power systems. Phasor measurement units (PMUs) and phasor data concentrators (PDCs) are new to the substations and control centers. Even though PMUs have been installed in many power grids, the number of installed PMUs is still low with respect to the number of buses or lines. Currently, WAMS systems face many challenges. This thesis is an attempt towards solving some of the technical problems faced by the WAMS systems. This thesis addresses four problems related to synchrophasor estimation, synchrophasor quality detection, synchrophasor communication and synchrophasor application. In the first part, a synchrophasor estimation algorithm has been proposed. The proposed algorithm is simple, requires lesser computations, and satisfies all the steady state and dynamic performance criteria of the IEEE Standard C37.118.1-2011 and also suitable for protection applications. The proposed algorithm performs satisfactorily during system faults and it has lower response time during larger disturbances. In the second part, areas of synchrophasor communication which can be improved by applying compressive sampling (CS) are identified. It is shown that CS can reduce bandwidth requirements for WAMS networks. It is also shown that CS can successfully reconstruct system dynamics at higher rates using synchrophasors reported at sub-Nyquist rate. Many synchrophasor applications are not designed to use fault/switching transient synchrophasors. In this thesis, an algorithm has been proposed to detect fault/switching transient synchrophasors. The proposed algorithm works satisfactorily during smaller and larger step changes, oscillations and missing data. Fault transient synchrophasors are not usable in WAMS applications as they represent a combination of fault and no-fault scenario. In the fourth part, two algorithms have been proposed to extract fault synchrophasor from fault transient synchrophasor in PDC. The proposed algorithms extract fault synchrophasors accurately in presence of noise, off-nominal frequencies, harmonics, and frequency estimation errors.
Selected Papers from the 8th Annual Conference of Energy Economics and Management
This collection represents successful invited submissions from the papers presented at the 8th Annual Conference of Energy Economics and Management held in Beijing, China, 22–24 September 2017. With over 500 participants, the conference was co-hosted by the Management Science Department of National Natural Science Foundation of China, the Chinese Society of Energy Economics and Management, and Renmin University of China on the subject area of “Energy Transition of China: Opportunities and Challenges”. The major strategies to transform the energy system of China to a sustainable model include energy/economic structure adjustment, resource conservation, and technology innovation. Accordingly, the conference and its associated publications encourage research to address the major issues faced in supporting the energy transition of China. Papers published in this collection cover the broad spectrum of energy economics issues, including building energy efficiency, industrial energy demand, public policies to promote new energy technologies, power system control technology, emission reduction policies in energy-intensive industries, emission measurements of cities, energy price movement, and the impact of new energy vehicle.