Home Power Systems • Application of Time-Synchronized Measurements in Power by Mladen Kezunovic, Sakis Meliopoulos, Vaithianathan

Application of Time-Synchronized Measurements in Power by Mladen Kezunovic, Sakis Meliopoulos, Vaithianathan

By Mladen Kezunovic, Sakis Meliopoulos, Vaithianathan Venkatasubramanian, Vijay Vittal (auth.)

This publication illuminates how synchrophasors in attaining the tracking, defense and keep an eye on optimizations essential to extend current energy platforms to help expanding quantities of renewable and disbursed strength assets. The authors describe synchrophasor strategies that could offer operators with higher solution in taking pictures dynamic habit of the ability grid. The ensuing insights aid more suitable real-time choice making within the face of extra iteration and cargo uncertainty, in addition to interruptions as a result of random acts of nature and malicious assaults. Armed with the knowledge during this state-of-the-art source, grid planners and operators could make optimized, versatile, resilient energy platforms a reality.

Show description

Read or Download Application of Time-Synchronized Measurements in Power System Transmission Networks PDF

Similar power systems books

Energy Systems in the Era of Energy Vectors: A Key to Define, Analyze and Design Energy Systems Beyond Fossil Fuels

What lies past the period of fossil fuels? whereas such a lot solutions concentrate on diversified basic strength assets, power platforms within the period of strength Vectors presents a totally new technique. rather than delivering a conventional intake research of classical basic power assets akin to oil, coal, nuclear strength and gasoline, strength platforms within the period of power Vectors describes and assesses strength applied sciences, markets and destiny techniques, targeting their ability to provide, alternate, and use power vectors.

Energy Management Strategies for Electric and Plug-in Hybrid Electric Vehicles

This e-book addresses the sensible concerns for commercialization of present and destiny electrical and plug-in hybrid electrical automobiles (EVs/PHEVs). the quantity makes a speciality of energy electronics and motor drives established strategies for either present in addition to destiny EV/PHEV applied sciences. Propulsion method specifications and motor sizing for EVs can also be mentioned, in addition to functional approach sizing examples.

Introduction to Thermoelectricity

This moment version is a finished creation to all points of thermoelectric power conversion. It covers either idea and perform. The booklet is well timed because it refers back to the many advancements that experience take place within the previous few years by using nanostructures. the idea that of semiconductor thermoelements resulted in significant advances in the course of the moment half the 20th century, making Peltier refrigeration a common approach.

Additional info for Application of Time-Synchronized Measurements in Power System Transmission Networks

Sample text

The chi-square test is applied as follows: Step 1. Compute the state estimate xˆ in the weighted least squares sense. m m i =1 i =1 Step 2. Compute the value ζ = ∑ si2 ( xˆ ) = ∑ ( hi ( xˆ ) − bi σi 2 ). Step 3. “Read” the probability Pr  χ 2 ≤ ζ  = Pr (ζ , v ) from the chi-square probability distribution function. Step 4. 0 − Pr (ζ , v ). Above probability is the probability that measurements fit the model of the system. This can be also expressed as a confidence level. , data that do not fit the model.

In this book, we will focus on the first approach, which is the most widely used and is introduced next. The weighted least squares solution of the over-determined system above is the vector x, which minimizes the sum of the weighted squares of the components of the residual vector r or the vector of the measurement errors η. Mathematically, this is expressed as follows: m Minimize J = ∑ wi ri 2 = r T Wr = ηT W η, i =1 where wi W the weight for the residual ri, a diagonal matrix, the diagonal elements being the weights wi.

That is, all nonlinearities are moved to the algebraic part of the model through the introduction of additional appropriate state variables. Also note that the nonlinear algebraic equations are of degree no more than two (at most quadratic equations), which is also achieved by the introduction of additional appropriate state variables. Assuming that the dynamic functions vary quadratically within the integration step [t-h, t], and upon quadratic integration [18], the dynamic model of the device is converted into a set of algebraic equations.

Download PDF sample

Rated 4.54 of 5 – based on 22 votes

Author:admin